CN118486422B - Patient medicine information processing method and system for thoracic surgery - Google Patents
Patient medicine information processing method and system for thoracic surgery Download PDFInfo
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Abstract
The invention relates to the technical field of drug response analysis, in particular to a patient drug information processing method and system for thoracic surgery. Firstly, acquiring a heart rate curve in real time, marking all taking time, acquiring the abnormal change times of the heart rate and the accumulation period of the medicine according to the heart rate changes before and after taking the medicine, and further acquiring the abnormal heart rate index; and further acquiring all bradycardia curve segments in the heart rate curve, so as to acquire bradycardia reference indexes, and further acquiring the medication abnormality indexes at the current moment by combining the overall change trend of the heart rate curve and the stability degree after each medication. According to the invention, whether the patient has abnormal heart rate variation in the process of taking medicines is determined by analyzing heart rate variation characteristics before and after taking medicines, and then whether the patient has adverse reaction symptoms of taking medicines with too slow heart rate and heart rate variation trend under the condition of long-term taking medicines are analyzed, so that influence of non-medicine factors is eliminated, and whether the patient has abnormal medication reaction is accurately estimated.
Description
Technical Field
The invention relates to the technical field of drug response analysis, in particular to a patient drug information processing method and system for thoracic surgery.
Background
The thoracic surgery patient is active due to factors such as pain, anxiety or complications during operation or postoperative recovery, and the heart rate is continuously increased, and proper drug therapy is usually needed to adjust the heart rate so as to ensure the safety and comfort of the patient. During treatment, typically starting with lower doses, patients are closely monitored to adjust the drug dose in time according to their symptoms of heart rate variation.
As treatment progresses, it may be necessary to continually increase the dosage of drug to achieve better efficacy; however, along with the accumulation of the drugs in the body, the continuous adjustment of the drug dosage or the drug sensitivity of the patient, the heart rate of the patient can be reduced at an abnormally high speed, and the heart burden is increased, so that adverse reactions of the patient on the drug administration are usually estimated by monitoring the change condition of the heart rate, and the dosage is adjusted in time; however, some patients may have abnormal heart rate reduction due to random changes in body position, disorder of the autonomic nervous system, or cardiovascular diseases, and the like, so that heart rate changes caused by non-drug effects are easily misjudged as abnormal medication response of the patients.
Disclosure of Invention
In order to solve the technical problem that heart rate variation caused by non-drug influence is easily misjudged as abnormal drug response of a patient in the prior art, the invention aims to provide a patient drug information processing method and system for thoracic surgery, and the adopted technical scheme is as follows:
the invention provides a patient drug information processing method for thoracic surgery, which comprises the following steps:
acquiring a heart rate curve of a patient with chest surgery in real time, and marking all medicine taking moments of the patient with chest surgery in the heart rate curve;
In the heart rate curve, acquiring abnormal heart rate change times and medicine accumulation periods of a patient with chest surgery according to heart rate change conditions before and after each medicine taking time; according to the consistency of heart rate variation conditions of the medicine accumulation period after the medicine taking time, combining the heart rate abnormality variation times to obtain heart rate abnormality indexes of patients with chest surgery;
after each taking time, acquiring all bradycardia curve segments in the heart rate curve according to the fluctuation and change condition of the heart rate curve; acquiring a bradycardia reference index of the thoracic surgery patient according to the variation difference between the adjacent bradycardia curve segments;
And according to the overall change trend of the heart rate curve and the stability degree after each administration, combining the heart rate abnormality index and the heart rate bradycardia reference index to obtain the administration abnormality index of the thoracic surgery patient at the current moment.
Further, the method for acquiring the abnormal heart rate change times comprises the following steps:
segmenting the heart rate curve according to the fluctuation condition of the heart rate curve;
Acquiring heart rate change rates after each medicine taking time and before the next adjacent medicine taking time according to heart rate data in the section to which each medicine taking time belongs and heart rate data in the next adjacent section corresponding to the section to which the medicine taking time belongs;
and according to the deviation condition of the heart rate variation rate, evaluating whether abnormal heart rate variation occurs after each administration, and acquiring the abnormal heart rate variation times in the heart rate curve.
Further, the method for acquiring the heart rate change rate after each taking time and before the next adjacent taking time comprises the following steps:
Taking the maximum heart rate data in the section to which each medicine taking time belongs as a pre-medicine reference heart rate and taking the average value of the heart rate data in the next adjacent section of the section to which each medicine taking time belongs as a post-medicine reference heart rate in each medicine taking time and the next adjacent medicine taking time;
taking the duration between the sampling time corresponding to the pre-drug reference heart rate and the sampling time corresponding to the last heart rate data in the next adjacent segment as the drug effect duration;
And according to the difference between the pre-medicine reference heart rate and the post-medicine reference heart rate, combining the medicine effect duration, and acquiring the heart rate change rate after each medicine taking time and before the next adjacent medicine taking time.
Further, the method for acquiring the drug accumulation period includes:
In the heart rate curve, the last administration time when abnormal heart rate changes occur for the first time is taken as the starting time of the drug accumulation period, and the period from the starting time to the ending time of the heart rate curve is taken as the drug accumulation period.
Further, the method for acquiring the heart rate abnormality index comprises the following steps:
Acquiring a drug influence parameter according to the difference between the abnormal change times of the heart rate and the total number of the drug taking moments in the drug accumulation period;
In the medicine accumulation period, acquiring a variation trend consistent parameter of the heart rate of a thoracic surgery patient after each medicine taking according to the consistency of the differences of all adjacent heart rate variation rates;
And acquiring a heart rate abnormality index according to the drug influence parameter and the change trend consistent parameter, wherein the drug influence parameter and the change trend consistent parameter are positively correlated with the heart rate abnormality index.
Further, the method for acquiring the bradycardia curve segment comprises the following steps:
And in the heart rate curve, between two adjacent taking moments, taking a continuous heart rate curve section lower than a preset standard heart rate as a heart rate bradycardia curve section.
Further, the method for acquiring the bradycardia reference index comprises the following steps:
Obtaining a minimum heart rate value in each heart rate bradycardia curve segment; acquiring a first reference index according to the difference between the minimum heart rate values in the adjacent heart rate bradycardia curve segments;
Acquiring a second reference index according to the difference of the corresponding time lengths of the adjacent heart rate bradycardia curve segments;
Acquiring reference indexes corresponding to adjacent bradycardia curve segments according to the first reference index and the second reference index; and integrating the reference indexes of all adjacent bradycardia curve segments to obtain the bradycardia reference index of the thoracic surgery patient.
Further, the method for obtaining the medication abnormality index comprises the following steps:
Acquiring an upper envelope curve and a lower envelope curve of the heart rate curve; acquiring a descending trend parameter according to the overall change trend of the upper envelope; obtaining a post-drug stability parameter according to the fluctuation and change condition of the lower envelope curve;
Acquiring a drug abnormality influence index of a patient with chest surgery according to the downward trend parameter and the post-drug stability parameter, wherein the downward trend parameter is positively correlated with the drug abnormality influence index, and the post-drug stability parameter is negatively correlated with the drug abnormality influence index;
Acquiring a medication abnormality index of a patient with chest surgery according to the medication abnormality influence index, the heart rate abnormality index and the heart rate bradycardia reference index; the drug abnormality impact index, the heart rate abnormality index, and the bradycardia reference index are all positively correlated with the drug administration abnormality index.
Further, the method for acquiring the downward trend parameter and the post-drug stability parameter comprises the following steps:
in the upper envelope, the whole slope corresponding to the upper envelope in the drug accumulation period is taken as a first slope, and the whole slope corresponding to the upper envelope in the non-drug accumulation period is taken as a second slope; acquiring a descending trend parameter according to the difference between the first slope and the second slope;
In the lower envelope curve, the whole slope corresponding to the lower envelope curve in the drug accumulation period is used as a third slope, and the whole slope corresponding to the lower envelope curve in the non-drug accumulation period is used as a fourth slope; and acquiring a post-drug stability parameter according to the difference between the third slope and the fourth slope.
The invention also proposes a patient medication information processing system for thoracic surgery, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of a patient medication information processing method for thoracic surgery when executing the computer program.
The invention has the following beneficial effects:
The heart rate curve of the patient with chest surgery is obtained in real time, and all medicine taking moments of the patient with chest surgery are marked in the heart rate curve, so that the heart rate change condition after each medicine taking is conveniently analyzed later; in a heart rate curve, acquiring abnormal heart rate change times and a medicine accumulation period of a patient with chest surgery according to heart rate change conditions before and after each medicine taking time; according to the consistency of heart rate variation conditions after adjacent medicine taking time in the medicine accumulation period, combining the heart rate abnormality variation times to obtain heart rate abnormality indexes of patients with chest surgery, wherein the side surfaces of the heart rate abnormality indexes reflect the possibility of adverse drug reaction of the patients; after each taking time, according to fluctuation and change conditions of the heart rate curve, all heart rate bradycardia curve segments in the heart rate curve are obtained, and the heart rate bradycardia phenomenon is also a symptom of poor medication response of a patient, so that the poor medication response condition of the patient can be further evaluated; acquiring a bradycardia reference index of a thoracic surgery patient according to the variation difference between adjacent bradycardia curve segments; according to the overall change trend of the heart rate curve and the stability degree after each administration, the overall change trend can evaluate the possibility that the patient enters the drug accumulation period and is influenced by the drug, and the stability degree after each administration can further evaluate whether the patient is influenced by the bradycardia or not, and further, the abnormal heart rate index and the bradycardia reference index are combined to obtain the abnormal administration index of the chest surgery patient at the current moment. According to the invention, whether the patient has abnormal heart rate variation in the process of taking the medicine is determined by analyzing the heart rate variation characteristics of the patient before and after taking the medicine each time, and then whether the patient has adverse reaction symptoms of taking the medicine with the slow heart rate and the heart rate variation trend of the patient under the condition of taking the medicine for a long time are analyzed, so that the influence of non-medicine factors is eliminated, and meanwhile, whether the patient has abnormal medication reaction is accurately estimated.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a patient medication information processing method for thoracic surgery according to one embodiment of the present invention;
FIG. 2 is a flowchart of a method for obtaining a heart rate abnormality index according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for obtaining a bradycardia reference index according to an embodiment of the present invention;
Fig. 4 is a flowchart of a method for obtaining a medication abnormality index according to an embodiment of the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the invention to achieve the preset aim, the following detailed description refers to the specific implementation, structure, characteristics and effects of the patient medicine information processing method and system for thoracic surgery according to the present invention, which are provided by the invention with reference to the accompanying drawings and the preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following specifically describes a specific scheme of a patient drug information processing method and system for thoracic surgery provided by the present invention with reference to the accompanying drawings.
Referring to fig. 1, a flowchart of a patient drug information processing method for thoracic surgery according to an embodiment of the present invention specifically includes:
step S1, acquiring a heart rate curve of a thoracic surgery patient in real time, and marking all medicine taking moments of the thoracic surgery patient in the heart rate curve.
The implementation scenario of the embodiment of the invention is that after a patient takes the beta-receptor blocker, the adverse reaction of the patient is estimated according to the heart rate change condition before and after taking the drug, so that relevant medical staff is prompted to evaluate and adjust the drug taking scheme.
In one embodiment of the invention, in order to monitor heart rate variation of a patient in real time for chest surgery to evaluate whether the patient has adverse reaction of medication, an electrocardiograph monitor is firstly used for monitoring and collecting heart rate of the patient in real time, and a heart rate curve is constructed according to a collection time sequence, wherein the collection frequency is 10s each time; in order to evaluate whether the patient has adverse reaction of medication, the embodiment of the invention further marks all the medication times of the thoracic surgery patient in the heart rate curve, thereby facilitating the subsequent analysis of heart rate change after each medication.
It should be noted that, the collection and construction of the heart rate curve are already known in the prior art by those skilled in the art, and the practitioner may set the sampling frequency by himself or herself, or may use other heart rate monitoring devices, such as a wearable monitoring bracelet, in which the administration service may be integrally reminded, so as to record the administration time in the heart rate curve.
Step S2, acquiring the abnormal heart rate change times and the medicine accumulation period of the thoracic surgery patient according to the heart rate change condition before and after each medicine taking time in a heart rate curve; and according to the consistency of heart rate variation conditions after the adjacent medicine taking time in the medicine accumulation period, combining the heart rate abnormality variation times to obtain the heart rate abnormality index of the thoracic surgery patient.
Taking into account that the heart rate of the patient will drop and resume normal steady levels for a period of time after taking the drug; in an ideal case, the heart rate reduction speed of the same patient after taking the medicine every time is relatively similar or similar, and if the heart rate reduction speed is relatively different from the overall reduction level, the heart rate reduction speed can be considered as abnormal heart rate change of the patient due to factors such as poor medicine response, self diseases or body position change and the like; furthermore, whether the patient enters the drug accumulation period can be estimated according to abnormal change conditions of heart rate; during the drug accumulation period, the drugs in the patient are accumulated continuously, and the rate of heart rate decline is relatively accelerated after mutation occurs.
Preferably, in one embodiment of the present invention, considering that the heart rate usually has a certain fluctuation characteristic before and after taking the medicine, the heart rate curve can be segmented according to the fluctuation condition of the heart rate curve, so as to evaluate the heart rate fluctuation condition before and after taking the medicine according to the heart rate segmentation with similar fluctuation condition before and after taking the medicine; considering that the heart rate variation situation after each administration is similar in the ideal situation, if obvious deviation situation exists, the abnormal heart rate variation is indicated; the method for acquiring the abnormal change times of the heart rate comprises the following steps:
segmenting a heart rate curve according to the fluctuation condition of the heart rate curve;
Acquiring heart rate change rate after each taking time and before the next adjacent taking time according to heart rate data in the section to which each taking time belongs and heart rate data in the next adjacent section to which the corresponding taking time belongs;
And according to the deviation condition of the heart rate variation rate, evaluating whether abnormal heart rate variation occurs after each administration, and obtaining the abnormal heart rate variation times in a heart rate curve.
Specifically, in one embodiment of the present invention, considering that an adaptive segmentation constant approximation algorithm (ADAPTIVE PIECEWISE Constant Approximation, APCA) may segment according to the fluctuation situation of data, and employ a constant value within each segment to approximate the fluctuation situation of data, the APCA algorithm is employed to segment the heart rate curve; the APCA algorithm is well known to those skilled in the art and is not described in detail herein. In other embodiments of the present invention, the practitioner may also obtain a slope at each heart rate data, and when the slope changes significantly, the practitioner may consider that the trend of the heart rate curve changes in a turning or abrupt manner, and set the segmentation points for the heart rate data points to segment; other segmentation methods may be adopted by the practitioner to divide the heart rate data with similar fluctuation variation trend into the same segment, and are not described herein.
After segmenting the heart rate curve, considering that the heart rate data in the next adjacent segment of the segment to which the medicine taking time belongs is gradually stable after descending, firstly, specifically, taking the maximum value of the heart rate data in the segment to which each medicine taking time belongs as a pre-medicine reference heart rate and taking the average value of the heart rate data in the next adjacent segment of the segment to which the medicine taking time belongs as a post-medicine reference heart rate between each medicine taking time and the next adjacent medicine taking time; in other embodiments of the present invention, the practitioner may also use the last heart rate data in the next adjacent segment of the segment to which the administration time belongs as the post-administration reference heart rate; and dividing the difference between the pre-drug reference heart rate and the post-drug reference heart rate by the duration of the drug effect to obtain the heart rate change rate after each drug administration time and before the next adjacent drug administration time.
It should be noted that the heart rate change rate refers to the rate of the heart rate of the patient after each taking time when the heart rate of the patient first drops between two adjacent taking times, and only reflects the heart rate drop condition of the patient after the taking of the patient, and does not contain or represent the heart rate drop condition after the subsequent taking of the medicine; i.e. analyzing heart rate variation after each administration for a period of time from after each administration to before the next adjacent administration.
Then, according to the deviation condition of the heart rate change rate relative to the average level, whether abnormal heart rate change occurs or not is estimated; as one example: Wherein, the method comprises the steps of, wherein, Is the abnormal change frequency of heart rate; as a function of the count, The total number of times of taking medicine, namely the total number of times of taking medicine; Is the first Heart rate change rate after individual dosing moments; The average value of heart rate change rates after all the medicine taking moments; when the heart rate change rate after a certain medicine taking time is larger than the average value of the amplified heart rate change rates, the heart rate change rates can be considered to be obviously deviated, namely abnormal heart rate change occurs; in order to amplify the reference coefficient, 1.2 is taken in the embodiment of the present invention to amplify the average level, and in other embodiments of the present invention, the practitioner may select other values greater than 1 according to the specific situation.
Preferably, in one embodiment of the present invention, the method for acquiring a drug accumulation period includes: in the heart rate curve, the last administration time when the abnormal heart rate change occurs for the first time is taken as the starting time of the drug accumulation period, and the period from the starting time to the ending time of the heart rate curve is taken as the drug accumulation period.
In other embodiments of the present invention, the practitioner may also sort the heart rate change rates according to the time sequence, obtain a first-order differential sequence, and use a period from the start time to the end time of the heart rate curve as the drug accumulation period when the first maximum value in the first-order differential sequence corresponds to the start time of the drug accumulation period from the previous administration time.
Considering that the more the number of abnormal heart rate changes occur in the drug accumulation period, the greater the possibility that abnormal heart rate changes are affected by the drug is indicated; in addition, the more consistent the change trend of the heart rate decline rate of the patient after two adjacent taking time points in the medicine accumulation period is considered, the heart rate decline rate of the patient is continuously accelerated, and random external factors such as non-disease or body position change and the like influence the heart rate decline mutation possibly only to cause discontinuous heart rate decline mutation, so that the influence of non-medicine factors can be eliminated, and the heart rate abnormality index of the patient is estimated; the possibility of adverse drug reaction of the patient is reflected on the side of the heart rate abnormality index, so that the patient can be further analyzed and evaluated later, and the larger the heart rate abnormality index is, the faster the heart rate of the patient after the patient enters the drug accumulation period and is caused to drop after each drug administration, and the more attention is paid to the heart rate change of the patient.
Preferably, in one embodiment of the present invention, the method for acquiring the heart rate abnormality index includes:
Referring to fig. 2, a flowchart of a method for obtaining a heart rate abnormality index according to an embodiment of the invention is shown;
Step S201, acquiring the drug influence parameters according to the difference between the abnormal change times of the heart rate and the total number of the drug taking time in the drug accumulation period.
If the number of times of abnormal heart rate changes in the drug accumulation period is larger, the confidence degree of the heart rate abnormal index in the drug accumulation period is higher, and the confidence degree of the heart rate abnormal index of the patient is higher in the subsequent analysis; as one example, the ratio between the number of abnormal heart rate changes as a numerator and the total number of taking times in the medicine accumulation period is taken as a medicine influence parameter, the larger the ratio, the larger the medicine influence parameter; in other embodiments of the present invention, the practitioner may also map the absolute value of the difference between the number of heart rate anomalies and the total number of dosing times during the drug accumulation period in a negative correlation, with the smaller the difference, the larger the drug affecting parameter.
Step S202, obtaining the variation trend consistent parameters of the heart rate of the chest surgery patient after each administration according to the consistency of the differences of all adjacent heart rate variation rates in the medicine accumulation period.
Considering that the more consistent the difference change of heart rate change rates after the adjacent medicine taking time is, the heart rate change rate of the patient is continuously reduced, and the change amplitude of each time of the reduction rate is similar, the heart rate reduction rate of the patient after each medicine taking in the medicine accumulation period is gradually increased, and the more consistent the heart rate change characteristics influenced by the medicine in the medicine accumulation period is, the greater the consistent parameter of the change trend of the heart rate of the patient after each medicine taking is.
As an example, the calculation formula of the variation trend coincidence parameter is:
; wherein, Is a consistent parameter of the variation trend; to be with natural constant An exponential function that is a base; the total number of times of taking medicine in the medicine accumulation period is the total number of times of taking medicine in the medicine accumulation period; a serial number of the medicine taking time in the medicine accumulation period; Is in the accumulation period of the medicine, the first Heart rate change rate after the individual dosing timeA rate difference between heart rate change rates after each dosing time; the average value of the rate difference values among the heart rate change rates after all the adjacent medicine taking moments in the medicine accumulation period; is an absolute value symbol; in the present method, the liquid crystal display device, Smaller indicates more consistent trend, so negative correlation mapping is adoptedIn other embodiments of the present invention, the implementer may also perform logic adjustment by performing reciprocal operations or other basic mathematical means and related mapping methods, which are not described herein.
Step S203, obtaining the heart rate abnormality index according to the drug influence parameter and the variation trend consistent parameter, wherein the drug influence parameter and the variation trend consistent parameter are positively correlated with the heart rate abnormality index.
In one embodiment of the invention, the drug influence parameters and the parameters consistent with the change trend are multiplied and combined to obtain the heart rate abnormality index; in other embodiments of the present invention, the practitioner may combine the two to obtain the heart rate abnormality index through addition or weighted summation, which is not described herein.
Step S3, after each medicine taking time, acquiring all bradycardia curve segments in the heart rate curve according to the fluctuation and change condition of the heart rate curve; and obtaining the bradycardia reference index of the thoracic surgery patient according to the variation difference between the adjacent bradycardia curve segments.
Considering that part of patients have higher sensitivity to medicines, a certain heart rate is too slow due to the increase and accumulation of medicine doses, namely the heart rate is accelerated to be reduced to a normal heart rate level after taking medicine and then is continuously reduced, and a period of relief is needed to slowly recover the normal level and stabilize; the bradycardia phenomenon is a symptom of poor medication response of a patient, and by analyzing and determining the bradycardia phenomenon in a heart rate curve, related parameters can be evaluated to determine the poor medication response of the patient.
Therefore, firstly, all the bradycardia curve sections in the heart rate curve are obtained, and then, according to the variation difference between the adjacent bradycardia curve sections, the bradycardia reference index of the thoracic surgery patient is obtained.
Preferably, in one embodiment of the present invention, the method for acquiring the bradycardia curve segment includes: in the heart rate curve, between two adjacent taking time points, a continuous heart rate curve section lower than a preset standard heart rate is taken as a heart rate bradycardia curve section.
The preset standard heart rate is a normal heart rate level of a human body, 60 is specifically taken in one embodiment of the invention, and an implementer can also set other heart rate values within a normal heart rate range according to the physical condition of the patient.
Preferably, in one embodiment of the present invention, the method for acquiring the bradycardia reference index includes:
Referring to fig. 3, a flowchart of a method for obtaining a bradycardia reference index according to an embodiment of the invention is shown;
Step S301, obtaining a minimum heart rate value in each heart rate bradycardia curve segment; and obtaining a first reference index according to the difference between the minimum heart rate values in the adjacent heart rate bradycardia curve segments.
If the heart rate is too slow, the heart rate is reduced more and more, which means that the heart rate too slow degree is more serious, therefore, in one embodiment of the invention, the minimum heart rate value in each heart rate too slow curve section is firstly obtained, the minimum heart rate value reflects the heart rate reduction degree in each heart rate too slow process, and if the difference between the minimum heart rate values in the adjacent heart rate too slow curve sections is larger, the heart rate too slow degree is more serious, the corresponding first reference index is larger, and the heart rate too slow reference index which is evaluated later is larger.
Step S302, a second reference index is obtained according to the difference of the corresponding time lengths of the adjacent heart rate bradycardia curve segments.
If the phenomenon of bradycardia continuously occurs, the duration of bradycardia is longer and longer, which also indicates that the bradycardia degree is more serious, so that in one embodiment of the invention, a second reference index is obtained according to the difference of the corresponding durations of adjacent bradycardia curve segments; if the difference between the corresponding durations of the adjacent bradycardia curve segments is larger and larger, the bradycardia degree is more and more serious, the corresponding second reference index is larger and larger, and the bradycardia reference index of subsequent evaluation is larger and larger.
As one example: the calculation method of the second reference index comprises the following steps: taking the difference value between the corresponding duration of each bradycardia curve segment and the corresponding duration of the previous adjacent bradycardia curve segment as a second reference index, the practitioner can also adopt the duration difference value to facilitate the subsequent operationNormalizing the function to obtain a second reference index; in other embodiments of the present invention, the practitioner may also use the ratio of the corresponding duration of each bradycardia curve segment to the corresponding duration of the previous adjacent bradycardia curve segment as the second reference index, where the ratio is greater than 1 and greater, the greater the ratio indicates that the bradycardia degree is greater and greater, and the corresponding second reference index is greater and greater.
Step S303, obtaining reference indexes corresponding to adjacent bradycardia curve segments according to the first reference index and the second reference index; and integrating the reference indexes of all adjacent bradycardia curve segments to obtain the bradycardia reference index of the thoracic surgery patient.
In one embodiment of the present invention, the first reference index and the second reference index are multiplied and combined to obtain the reference index of the adjacent bradycardia curve segment, and the average value of the reference indexes of all the adjacent bradycardia curve segments is used as the bradycardia reference index of the thoracic surgery patient. In other embodiments of the present invention, the practitioner may also use other basic mathematical operations such as addition or weighted summation to obtain the reference indices of adjacent bradycardia curve segments, or may use the mode of the reference indices of all adjacent bradycardia curve segments as the bradycardia reference index.
And S4, according to the overall change trend of the heart rate curve and the stability degree after each administration, combining the heart rate abnormality index and the heart rate bradycardia reference index to obtain the administration abnormality index of the thoracic surgery patient at the current moment.
Considering that after a patient takes the medicine for a long time, the heart rate decline rate is accelerated along with the increase and accumulation of the medicine dosage, and the rise amplitude is also declined in the subsequent abnormal rise process of the heart rate, namely the heart rate curve wholly presents a declining trend, which belongs to a normal physiological phenomenon; considering that the heart rate of the patient possibly shows a certain fluctuation of the heart rate curve of the patient after taking the medicine due to the bradycardia phenomenon of the patient each time, namely, the heart rate of the patient is recovered to a normal level and is stable and slightly fluctuated after taking the medicine each time, but the heart rate is relatively violently fluctuated when the bradycardia abnormal phenomenon exists; meanwhile, the heart rate abnormality index and the heart rate bradycardia reference index reflect the possibility or severity of adverse reactions of medication of patients; therefore, according to the overall change trend of the heart rate curve and the stability degree after each administration, the embodiment of the invention combines the heart rate abnormality index and the heart rate bradycardia reference index to obtain the administration abnormality index of the patient with chest surgery at the current moment.
Preferably, in one embodiment of the present invention, the method for obtaining the medication abnormality index includes:
Referring to fig. 4, a flowchart of a method for obtaining a medication abnormality index according to an embodiment of the present invention is shown;
Step S401, obtaining an upper envelope curve and a lower envelope curve of a heart rate curve; acquiring a descending trend parameter according to the overall change trend of the upper envelope; and obtaining the stability parameters after taking the medicine according to the fluctuation and change conditions of the lower envelope curve.
Considering that the upper envelope curve of the heart rate curve can reflect the overall trend of the heart rate curve to a certain extent, and the lower envelope curve can reflect whether the heart rate curve has larger fluctuation due to the phenomenon of too slow heart rate after each administration to a certain extent; based on the above, the upper envelope curve and the lower envelope curve of the heart rate curve are obtained, so that the parameters of the downward trend and the post-drug stability are conveniently obtained.
The larger the descending trend parameter is, the more the overall heart rate variation trend of the patient accords with the normal physiological condition influenced by the medicine, and the higher the credibility of the stable parameter after the medicine is analyzed on the basis; the smaller the post-drug stability parameter, the greater the possibility that the heart rate still fluctuates due to the phenomenon of bradycardia in the drug accumulation period of the patient, and the greater the possibility of abnormal drug administration.
Preferably, in one embodiment of the present invention, considering that the patient takes medicine for a long period of time normally causes the heart rate to overall show a decreasing trend, there should be a similar decreasing trend during the medicine accumulation period and the non-medicine accumulation period; the slope can reflect the change trend of the curve; based on the above, the method for acquiring the downward trend parameter and the post-drug stability parameter comprises the following steps:
In the upper envelope, the whole slope corresponding to the upper envelope in the drug accumulation period is taken as a first slope, and the whole slope corresponding to the upper envelope in the non-drug accumulation period is taken as a second slope; and obtaining the descending trend parameter according to the difference between the first slope and the second slope.
As one example: the calculation formula of the descending trend parameter is as follows: wherein In order to reduce the parameter of the trend,The overall slope of the corresponding upper envelope curve in the drug accumulation period is the first slope; is the overall slope of the corresponding upper envelope curve in the non-drug accumulation period, namely the second slope; in order to prevent zero parameter, 0.01 is taken in the embodiment of the invention, and an implementer can set other values without influencing the calculation result.
In the calculation formula of the descending trend parameter, the smaller the difference between the first slope and the second slope is, the greater the possibility that the descending trend is the same in the drug accumulation period and the non-drug accumulation period, the greater the descending trend parameter is, so that the inverse operation is performed after the zero-proof parameter is added to the difference, and the logic is adjusted by other means, which is not repeated herein, in other embodiments of the present invention.
The calculation of the overall slope is that the difference between the first heart rate data and the last heart rate data of the corresponding upper envelope curve in the drug accumulation period or the non-drug accumulation period is divided by the duration between the corresponding acquisition time points, so as to obtain the corresponding overall slope, which is a prior art well known to those skilled in the art and is not repeated herein; the non-drug accumulation period is a period other than the drug accumulation period.
In another embodiment of the present invention, the practitioner may also directly determine the sign of the difference between the first heart rate data and the last heart rate data of the upper envelope, and if the sign is positive, it indicates that the upper envelope entirely exhibits a downward trend, and the larger the downward trend parameter, the more in line with the heart rate variation trend in the drug accumulation period; the difference value between heart rate data corresponding to each taking time and the next adjacent taking time can be calculated, if the sign of the difference value is that the number of positive difference values is more than 90% of the total number of the difference values, the upper envelope line integrally shows a descending trend, and the larger the descending trend parameter is.
In the lower envelope curve, taking the whole slope corresponding to the lower envelope curve in the drug accumulation period as a third slope, and taking the whole slope corresponding to the lower envelope curve in the non-drug accumulation period as a fourth slope; and acquiring the post-drug stability parameters according to the difference between the third slope and the fourth slope.
As one example: the calculation formula of the post-drug stability parameters is as follows: Wherein, the method comprises the steps of, wherein, As a post-drug stability parameter,The overall slope of the lower envelope curve corresponding to the drug accumulation period is the third slope; The overall slope of the corresponding lower envelope curve in the non-drug accumulation period is the fourth slope; In order to prevent zero parameter, the embodiment of the invention takes 0.01, and an implementer can set other values without influencing the calculation result; the calculation of the overall slope is the same as the calculation of the overall slope in the calculation of the downward trend parameter, and will not be described here.
In another embodiment of the present invention, the practitioner can also directly determine the variance of the data points in the lower envelope, with smaller variances, larger post-drug stability parameters, and then by mapping toOther basic mathematical operations such as reciprocal or related mapping means may be adopted by the implementer, and are not described herein.
Step S402, acquiring a drug abnormality influence index of the thoracic surgery patient according to the downward trend parameter and the post-drug stability parameter, wherein the downward trend parameter is positively correlated with the drug abnormality influence index, and the post-drug stability parameter is negatively correlated with the drug abnormality influence index.
In one embodiment of the invention, post-drug stability parameters are specifically mapped toAnd (3) the logic is adjusted, and then the post-drug stability parameters mapped by the negative correlation are multiplied and combined with the descending trend parameters to obtain the drug abnormality influence index. In other embodiments of the present invention, the implementer may also combine the two by using other basic mathematical operations such as addition or weighted summation, and may also adjust the logic by using other relevant mapping means, which will not be described again.
Step S403, acquiring a medication abnormality index of a thoracic surgery patient according to the medication abnormality influence index, the heart rate abnormality index and the heart rate bradycardia reference index; the drug abnormality influence index, the heart rate abnormality index and the bradycardia reference index are all positively correlated with the drug abnormality index.
In one embodiment of the invention, the drug abnormality influence index, the heart rate abnormality index and the heart rate bradycardia reference index are multiplied and combined, and finally normalized to obtain a drug abnormality index; in other embodiments of the invention, the practitioner may also apply an exponential function to any of the parametersThe influence degree of the drug to the drug abnormality index is amplified, and the sensitivity is improved; the normalization mode is specifically a maximum value and minimum value normalization mode, and the implementer can also adopt other normalization modes, which are not described herein.
Thus, the abnormal medication index of the patient with chest surgery at the current moment is obtained, and then the related medical staff can be assisted to evaluate whether the patient has adverse medication reaction or not, so that the medication scheme is re-evaluated.
In one embodiment of the present invention, the method further comprises the steps of: and when the abnormal medication index is greater than a preset threshold, prompting abnormal medication. When the abnormality index of medication is greater than 0.7, the medical staff is prompted that the patient may have adverse medication reaction, and the medication scheme is required to be re-evaluated according to the physical condition of the patient.
In summary, the embodiment of the invention firstly acquires the heart rate curve in real time and marks all the taking time, then acquires the abnormal heart rate change times and the medicine accumulation period of the patient with chest surgery according to the heart rate change condition before and after each taking time, and further acquires the abnormal heart rate index of the patient with chest surgery; further acquiring all bradycardia curve segments in the heart rate curve, thereby acquiring bradycardia reference indexes; and according to the overall change trend of the heart rate curve and the stability degree after each administration, combining the heart rate abnormality index and the heart rate bradycardia reference index to obtain the administration abnormality index of the thoracic surgery patient at the current moment. According to the invention, whether the patient has abnormal heart rate variation in the process of taking the medicine is determined by analyzing the heart rate variation characteristics of the patient before and after taking the medicine each time, and then whether the patient has adverse reaction symptoms of taking the medicine with the slow heart rate and the heart rate variation trend of the patient under the condition of taking the medicine for a long time are analyzed, so that the influence of non-medicine factors is eliminated, and meanwhile, whether the patient has abnormal medication reaction is accurately estimated.
The invention also provides a patient medicine information processing system for thoracic surgery, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to realize the steps of the patient medicine information processing method for thoracic surgery.
It should be noted that: the sequence of the embodiments of the present invention is only for description, and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments.
Claims (5)
1. A patient medication information processing method for thoracic surgery, the method comprising:
acquiring a heart rate curve of a patient with chest surgery in real time, and marking all medicine taking moments of the patient with chest surgery in the heart rate curve;
In the heart rate curve, acquiring abnormal heart rate change times and medicine accumulation periods of a patient with chest surgery according to heart rate change conditions before and after each medicine taking time; according to the consistency of heart rate variation conditions of the medicine accumulation period after the medicine taking time, combining the heart rate abnormality variation times to obtain heart rate abnormality indexes of patients with chest surgery;
after each taking time, acquiring all bradycardia curve segments in the heart rate curve according to the fluctuation and change condition of the heart rate curve; acquiring a bradycardia reference index of the thoracic surgery patient according to the variation difference between the adjacent bradycardia curve segments;
according to the overall change trend of the heart rate curve and the stability degree after each administration, combining the heart rate abnormality index and the heart rate bradycardia reference index to obtain an administration abnormality index of a patient with chest surgery at the current moment;
the method for acquiring the medication abnormality index comprises the following steps:
Acquiring an upper envelope curve and a lower envelope curve of the heart rate curve; acquiring a descending trend parameter according to the overall change trend of the upper envelope; obtaining a post-drug stability parameter according to the fluctuation and change condition of the lower envelope curve;
Acquiring a drug abnormality influence index of a patient with chest surgery according to the downward trend parameter and the post-drug stability parameter, wherein the downward trend parameter is positively correlated with the drug abnormality influence index, and the post-drug stability parameter is negatively correlated with the drug abnormality influence index;
Acquiring a medication abnormality index of a patient with chest surgery according to the medication abnormality influence index, the heart rate abnormality index and the heart rate bradycardia reference index; the drug abnormality impact index, the heart rate abnormality index, and the bradycardia reference index are all positively correlated with the drug administration abnormality index;
the method for acquiring the downward trend parameter and the post-drug stability parameter comprises the following steps:
in the upper envelope, the whole slope corresponding to the upper envelope in the drug accumulation period is taken as a first slope, and the whole slope corresponding to the upper envelope in the non-drug accumulation period is taken as a second slope; acquiring a descending trend parameter according to the difference between the first slope and the second slope;
in the lower envelope curve, the whole slope corresponding to the lower envelope curve in the drug accumulation period is used as a third slope, and the whole slope corresponding to the lower envelope curve in the non-drug accumulation period is used as a fourth slope; acquiring a post-drug stability parameter according to the difference between the third slope and the fourth slope;
the method for acquiring the abnormal heart rate change times comprises the following steps:
segmenting the heart rate curve according to the fluctuation condition of the heart rate curve;
Acquiring heart rate change rates after each medicine taking time and before the next adjacent medicine taking time according to heart rate data in the section to which each medicine taking time belongs and heart rate data in the next adjacent section corresponding to the section to which the medicine taking time belongs;
According to the deviation condition of the heart rate variation rate, whether abnormal heart rate variation occurs after each administration is evaluated, and the abnormal heart rate variation times in the heart rate curve are obtained;
the method for acquiring the heart rate abnormality index comprises the following steps:
Acquiring a drug influence parameter according to the difference between the abnormal change times of the heart rate and the total number of the drug taking moments in the drug accumulation period;
In the medicine accumulation period, acquiring a variation trend consistent parameter of the heart rate of a thoracic surgery patient after each medicine taking according to the consistency of the differences of all adjacent heart rate variation rates;
Acquiring a heart rate abnormality index according to the drug influence parameter and the change trend consistent parameter, wherein the drug influence parameter and the change trend consistent parameter are positively correlated with the heart rate abnormality index;
The calculation formula of the consistent parameters of the change trend is as follows:
; wherein, Is a consistent parameter of the variation trend; to be with natural constant An exponential function that is a base; the total number of times of taking medicine in the medicine accumulation period is the total number of times of taking medicine in the medicine accumulation period; a serial number of the medicine taking time in the medicine accumulation period; Is in the accumulation period of the medicine, the first Heart rate change rate after the individual dosing timeA rate difference between heart rate change rates after each dosing time; the average value of the rate difference values among the heart rate change rates after all the adjacent medicine taking moments in the medicine accumulation period; Is an absolute value symbol;
the method for acquiring the heart rate bradycardia reference index comprises the following steps:
Obtaining a minimum heart rate value in each heart rate bradycardia curve segment; acquiring a first reference index according to the difference between the minimum heart rate values in the adjacent heart rate bradycardia curve segments;
Acquiring a second reference index according to the difference of the corresponding time lengths of the adjacent heart rate bradycardia curve segments;
Acquiring reference indexes corresponding to adjacent bradycardia curve segments according to the first reference index and the second reference index; and integrating the reference indexes of all adjacent bradycardia curve segments to obtain the bradycardia reference index of the thoracic surgery patient.
2. The method for processing patient medication information for thoracic surgery according to claim 1, wherein the method for acquiring the heart rate change rate after each of the taking time instants and before the next adjacent taking time instant comprises:
Taking the maximum heart rate data in the section to which each medicine taking time belongs as a pre-medicine reference heart rate and taking the average value of the heart rate data in the next adjacent section of the section to which each medicine taking time belongs as a post-medicine reference heart rate in each medicine taking time and the next adjacent medicine taking time;
taking the duration between the sampling time corresponding to the pre-drug reference heart rate and the sampling time corresponding to the last heart rate data in the next adjacent segment as the drug effect duration;
And according to the difference between the pre-medicine reference heart rate and the post-medicine reference heart rate, combining the medicine effect duration, and acquiring the heart rate change rate after each medicine taking time and before the next adjacent medicine taking time.
3. The method for processing patient drug information for thoracic surgery according to claim 1, wherein the method for acquiring the drug accumulation period comprises:
In the heart rate curve, the last administration time when abnormal heart rate changes occur for the first time is taken as the starting time of the drug accumulation period, and the period from the starting time to the ending time of the heart rate curve is taken as the drug accumulation period.
4. The method for processing patient medication information for thoracic surgery according to claim 1, wherein the method for acquiring the bradycardia curve segment comprises:
And in the heart rate curve, between two adjacent taking moments, taking a continuous heart rate curve section lower than a preset standard heart rate as a heart rate bradycardia curve section.
5. A patient medication information processing system for thoracic surgery, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of a patient medication information processing method for thoracic surgery as claimed in any one of claims 1 to 4 when the computer program is executed.
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| CN116153458A (en) * | 2023-02-13 | 2023-05-23 | 广东凯利嘉信息科技有限公司 | Active monitoring and early warning system and method for drug-induced diseases |
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| GB2560339B (en) * | 2017-03-07 | 2020-06-03 | Transf Ai Ltd | Prediction of cardiac events |
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| CN116153458A (en) * | 2023-02-13 | 2023-05-23 | 广东凯利嘉信息科技有限公司 | Active monitoring and early warning system and method for drug-induced diseases |
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