CN117018454A - Automatic frequency intensity adjusting method and system for biofeedback magnetic stimulator - Google Patents
Automatic frequency intensity adjusting method and system for biofeedback magnetic stimulator Download PDFInfo
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Abstract
The invention provides a method and a system for automatically adjusting frequency intensity of a biofeedback magnetic stimulator. The method comprises the following steps: acquiring each typical frequency f (n) of the biofeedback magnetic stimulator, and acquiring effective intensity s (n) of a user capable of causing effective contraction of pelvic floor muscles under the stimulation of each typical frequency f (n); fitting each typical frequency f (n) and its corresponding effective intensity s (n) to an isopycnic curve s (f); inputting a frequency parameter f_test of a user into the isoshrink curve s (f) to generate a shrink intensity parameter s (f_test); the actual stimulus intensity s_freq (f_test) is calculated from the contraction intensity parameter s (f_test). The invention guides treatment by entering quantitative indexes and an equal contraction curve, automatically adjusts the stimulation intensity of each frequency, realizes effective contraction in the whole treatment process, is more scientific and safe, saves manpower, and improves the treatment effect of magnetic stimulation.
Description
Technical Field
The invention relates to the technical field of magnetic stimulation treatment equipment, in particular to a method and a system for automatically adjusting the frequency intensity of a biofeedback magnetic stimulator.
Background
Pelvic floor dysfunctional disease (PFD) is mainly a disease caused by loss of support tissue and dysfunction of the pelvic floor. PFD is a common disease of women after childbirth and in the middle-aged and elderly, mainly comprising sexual dysfunction, pelvic organ prolapse, stress urinary incontinence, etc. Studies show that about 50% of puerpera have different degrees of pelvic floor muscle injury, and the incidence of pelvic organ prolapse increases with the increase of birth and age, which has great influence on the life, work, family happiness, physiology and psychology of females.
Currently, clinically common non-operative pelvic floor muscle treatment modes mainly comprise active muscle training, pelvic floor electrical stimulation and pelvic floor magnetic stimulation. The magnetic stimulation overcomes the defects that active training is slow in effect and difficult to adhere to and electric stimulation invades the body, is simple and painless, takes effect quickly, can protect user privacy and is easier to accept by users.
The biofeedback technology converts physiological indexes (heart rate, respiration, blood pressure, brain electricity, myoelectricity, muscle strength, skin electricity, skin temperature and the like) of a user into visual, auditory or tactile feedback signals by measuring, displays real-time information of relevant physiological states to the user, and adjusts and controls the body functions of the user according to the real-time information so as to improve the physical and psychological health level. Biofeedback therapy was proposed since 60 s of the last century, and is valued and adopted by many countries and widely applied to clinic (rehabilitation, exercise training, psychological therapy, health management, etc.) with the advantages of no wound, no pain, no drug side effect, simplicity, easiness, remarkable curative effect, etc.
The biofeedback magnetic stimulator combining the advantages of magnetic stimulation and biofeedback is advocated by departments and institutions of various hospitals, and is a recommended scheme in the field of pelvic floor treatment. The user can see the contraction of the corresponding muscle in real time while treating the pelvic floor muscle, and the rehabilitation confidence and treatment effect of the user can be greatly improved.
Different indications of the pelvic floor require different frequencies of magnetic stimulation for treatment, and muscles or nerves at different stimulation positions require different frequencies to achieve same-frequency resonance, so that the optimal treatment effect is achieved. Several indications require multiple frequencies of stimulation in combination to achieve better rehabilitation. Different people respond differently to different frequency stimuli. Treatment of different users with the same frequency and intensity may result in some people stinging while others do not shrink.
When the current treatment scheme is used for switching frequency stimulation, the intensity is mainly adjusted by oral inquiry and experience of doctors, and the low-frequency contraction is good and the high-frequency is stabbing pain due to lack of objective and quantitative indexes; or a situation where the mid-frequency is properly shrunk and the low frequency does not feel the shrinkage. Physicians also have easy access to adjust intensity when treatment regimens require frequent switching of stimulation intensity. Frequency intensity adjustment for different individuals is a problem to be solved in the field of biofeedback magnetism.
Disclosure of Invention
Based on the above, it is necessary to provide a method and a system for automatically adjusting the frequency intensity of a biofeedback magnetic stimulator, which aims at the problem that the intensity adaptation degree corresponding to each frequency is different when different users use the biofeedback magnetic stimulator.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
a frequency intensity automatic adjustment method of a biofeedback magnetic stimulator comprises the following steps:
acquiring each typical frequency f (n) of the biofeedback magnetic stimulator, and acquiring effective intensity s (n) of a user capable of causing effective contraction of pelvic floor muscles under the stimulation of each typical frequency f (n); wherein n represents the number of the acquisition array and is a natural number;
fitting each typical frequency f (n) and its corresponding effective intensity s (n) to an equal contraction curve s (f):
s(f)＝b j *f j +b j-1 *f j-1 +...+b 1 *f+b 0 the method comprises the steps of carrying out a first treatment on the surface of the Wherein f represents the stimulation frequency of the magnetic stimulation scheme of the user, b j Represents the j-th order coefficient, b j-1 Represent the j-1 th order term coefficients, …, b 1 Representing the coefficient of the primary term, b 0 Representing constant term coefficients;
acquiring a preset intensity parameter s_test and a frequency parameter f_test corresponding to a magnetic stimulation scheme of a user, inputting the frequency parameter f_test into an isoshrink curve s (f), and generating a shrink intensity parameter s (f_test);
the actual stimulation intensity s_freq (f_test) is calculated according to the preset intensity parameter s_test, the frequency parameter f_test and the contraction intensity parameter s (f_test) corresponding to the magnetic stimulation scheme of the user:
s_freq (f_process) =s_process s (f_process)/s (i); where s (i) is the intensity value of the reference frequency.
Further, j takes a value of 3.
Further, the method for determining the effective intensity s (n) capable of causing the pelvic floor muscle to effectively contract under the stimulation of the typical frequency f (n) comprises the following steps:
acquiring an actual pelvic floor contraction value C and an effective contraction value C under the current pulse stimulation of a user 0 And calculates the error value Diff of both: diff=c 0 -c; judging the current basin bottom shrinkage state according to the error value Diff, and making the following decision:
(1) If Diff >0; judging that the current contraction is weaker, and increasing the stimulus intensity of the next pulse;
(2) If Diff <0; judging that the current shrinkage is too strong, and reducing the stimulus intensity of the next pulse;
(3) If diff=0; judging that the current shrinkage accords with the expectation, and keeping the stimulus intensity unchanged for the next pulse;
and on the basis of the error value diff=0 under the current pulse stimulation, performing the next pulse stimulation and repeating the operation until the continuous M pulse error values Diff are kept to be 0, and judging that the current stimulation intensity is the effective intensity s (n) under the stimulation of the typical frequency f (n).
Further, effectively shrinkValue C 0 The acquisition method of (1) is as follows:
determining the rapid muscle contraction value as G in the user's active muscle strength evaluation according to the pelvic floor muscle evaluation standard Glazer under the stimulation of the typical frequency f (n), and further calculating the effective contraction value C 0 ：C 0 =g×ratio; wherein Ratio is the active and passive conversion coefficient, and the value range (0, 1]。
Further, the third order term coefficient b 3 Coefficient b of quadratic term 2 Coefficient b of primary term 1 Constant term coefficient b 0 The formula of (2) is as follows:
substituting each typical frequency f (n) and the corresponding effective intensity s (n) into the calculation formula to calculate a cubic term coefficient b 3 Coefficient b of quadratic term 2 Coefficient b of primary term 1 Constant term coefficient b 0 The method comprises the steps of carrying out a first treatment on the surface of the Wherein N represents the number of arrays of the typical frequency intensity, N represents the acquisition array number and is a natural number.
Further, the magnetic stimulation scheme of the user comprises a scheme name, a preset intensity parameter, a frequency parameter, stimulation time, intermittent time and cycle times.
An automatic frequency intensity adjustment system for a biofeedback magnetic stimulator, comprising:
a magnetic stimulation host for generating a spatially pulsed magnetic field acting on pelvic floor muscles;
the biofeedback module is used for collecting an actual pelvic floor contraction value c of the user pelvic floor muscle;
the singlechip is used for receiving the actual pelvic floor contraction value c to automatically adjust the frequency intensity and controlling the magnetic stimulation host according to the adjustment result;
the communication module is respectively connected with the magnetic stimulation host, the biofeedback module and the singlechip and is used for realizing communication among the magnetic stimulation host, the biofeedback module and the singlechip;
the method is characterized in that the singlechip performs the step of the automatic frequency intensity adjustment method of the biofeedback magnetic stimulator according to any one of claims 1-6 when the automatic frequency intensity adjustment is performed.
Further, the singlechip is connected with a display module through a communication module; the display module is used for displaying user information, corresponding magnetic stimulation scheme parameters and actual basin bottom shrinkage value c data.
Further, the communication module comprises a wired communication unit; the wired communication units include one or more of STD and CAMAC buses, ISA buses, VXI buses, PCI, compact and PXI buses, RS-232C, RS-422A, RS-485, USB, IEEE-1943, IEEE488, SCSI buses, and MXI buses.
Further, the communication module further comprises a wireless communication unit; the wireless communication unit comprises one or more of custom protocol, IEEE802.15.4 protocol, zigBee protocol, bluetooth protocol, loRa and UWB communication modes.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention introduces quantitative indexes and an equal contraction curve to guide treatment, automatically adjusts the stimulation intensity of each frequency, realizes effective contraction in the whole treatment process, is more scientific and safe, saves labor and improves the treatment effect of magnetic stimulation;
2. according to the invention, the effective intensity is found out by adjusting the stimulation intensity through the error between the set effective shrinkage value and the actual pelvic floor shrinkage value, and data support is provided for the subsequent automatic frequency intensity adjustment;
3. the invention can fit and update the other contraction curves by storing the user data with successful effective intensity acquisition, and the other contraction curves are more accurate and more representative along with the increase of the use times and the accumulation of the data, and the frequency intensity is still automatically adjusted under the condition that the effective intensity of the user is acquired and fails to be acquired after the effective intensity of the user is acquired and used.
Drawings
The disclosure of the present invention is described with reference to the accompanying drawings. It is to be understood that the drawings are designed solely for the purposes of illustration and not as a definition of the limits of the invention. Wherein:
FIG. 1 is a flow chart of a method for automatically adjusting the frequency intensity of a biofeedback magnetic stimulator according to embodiment 1 of the present invention;
FIG. 2 is a flow chart for automatic frequency intensity adjustment based on the determined isopunching curve of FIG. 1;
FIG. 3 is an updated flow chart based on the isopunching curve of FIG. 1;
FIG. 4 is a graph of intensity versus frequency for the same degree of muscle contraction for different frequencies of magnetic stimulation by the general population;
FIG. 5 is a waveform diagram of the result of an active muscle strength evaluation of a user;
FIG. 6 is a graph of the frequency versus effective intensity scatter plot of a user versus the isocontraction curve;
FIG. 7 is a block diagram of an automatic frequency intensity adjustment system for a biofeedback magnetic stimulator according to embodiment 2 of the present invention;
fig. 8 is a flow chart of effective intensity auto-acquisition based on the exemplary frequencies of fig. 7.
Detailed Description
It is to be understood that, according to the technical solution of the present invention, those skilled in the art may propose various alternative structural modes and implementation modes without changing the true spirit of the present invention. Accordingly, the following detailed description and drawings are merely illustrative of the invention and are not intended to be exhaustive or to limit the invention to the precise form disclosed.
Example 1
Referring to fig. 1, the embodiment describes a method for automatically adjusting the frequency intensity of a biofeedback magnetic stimulator, which includes the following steps:
a frequency intensity automatic adjustment method of a biofeedback magnetic stimulator comprises the following steps:
step 1: and acquiring each typical frequency f (n) of the biofeedback magnetic stimulator, and acquiring the effective intensity s (n) of the user, which can cause the pelvic floor muscle to effectively contract under the stimulation of each typical frequency f (n).
n represents the nth group of data, n is a natural number, e.g., n is equal to 1 and representsf (1) is a first set of measured data corresponding to an effective intensity s (1), and from a plurality of sets of data, an isopycnic curve can be fitted. Before starting the treatment, the user is required to enter a pre-adjustment stage to collect relevant data. This step is the data acquisition during the preconditioning phase. The magnetic stimulation is mainly carried out on each typical frequency in sequence until the intensity s (n) which can cause the effective contraction of the pelvic floor muscle under the nth typical frequency f (n) is acquired, and the judgment standard of the effective contraction is that the actual pelvic floor contraction value C reaches the effective contraction value C 0 。
Effective contraction value C of each user 0 C, as determined by the pelvic floor muscle assessment standard Glazer muscle strength assessment, assuming that the fast muscle contraction value in the user's active muscle strength assessment is G 0 Ratio is the active-passive conversion coefficient, and the value range (0, 1]Typically 0.6;
acquiring an actual pelvic floor muscle contraction value C of a user in real time, and calculating the actual pelvic floor muscle contraction value C and an effective contraction value C 0 Error diff=c 0 -c. The stimulation intensity under the stimulation of the typical frequency f (n) is preset, data are collected and calculated in real time, each stimulation has a time period, the stimulation intensity of the next pulse is regulated according to the error Diff after the current pulse stimulation until the error is still 0 after M continuous pulses, and the stimulation intensity at the moment is considered to be effective intensity. Therefore, the current pelvic floor contraction state needs to be judged according to the error value Diff, and the following decision is made:
(1) If Diff >0; judging that the current contraction is weaker, and increasing the stimulus intensity of the next pulse;
(2) If Diff <0; judging that the current shrinkage is too strong, and reducing the stimulus intensity of the next pulse;
(3) If diff=0; the current contraction is determined to be in line with the expectation, and the next pulse keeps the stimulus intensity unchanged.
If the consecutive M stimulus pulse errors Diff remain 0, it is determined that the effective intensity s (n) at the f (n) frequency is found. I.e. the current stimulus intensity is the effective intensity s (n) at the typical frequency f (n) stimulus. M is usually taken as 3.
Step 2: sum of each typical frequency f (n)The corresponding effective intensities s (n) fit an isopycnic curve s (f): s (f) =b j *f j +b j-1 *f j-1 +...+b 1 *f+b 0 . Wherein f represents the stimulation frequency of the magnetic stimulation scheme of the user, b j Represents the j-th order coefficient, b j-1 Represent the j-1 th order term coefficients, …, b 1 Representing the coefficient of the primary term, b 0 Representing the constant term coefficients.
In this embodiment, j is preferably 3, so that the isosystolic curve is s (f) =b 3 *f 3 +b 2 *f 2 +b 1 *f+b 0 The method comprises the steps of carrying out a first treatment on the surface of the Wherein b 3 Representing cubic term coefficients, b 2 Representing the quadratic term coefficients, b 1 Representing the coefficient of the primary term, b 0 Representing the constant term coefficients.
Four coefficients b of the iso-contraction curve 3 ，b 2 ，b 1 ，b 0 Determined by f (n) and s (n) acquired during the preconditioning phase. b 3 ，b 2 ，b 1 ，b 0 The calculation formula of (2) is as follows:
as shown in fig. 2, the flow of selecting the isopycnic curve is as follows: if the intensity pre-adjustment of different typical frequencies f (n) is not matched by a user or the pre-adjustment of the intensity of the data is failed to acquire, the user directly enters a treatment scheme in a pre-adjustment link, a default equal-shrinkage curve is adopted to continue the subsequent step of automatic frequency intensity adjustment, and if the follow-up step is successful, the scheme treatment is carried out according to the acquired data fitting equal-shrinkage curve.
Step 3: the method comprises the steps of obtaining a preset intensity parameter s_test and a frequency parameter f_test corresponding to a magnetic stimulation scheme of a user, inputting the frequency parameter f_test into an isocontraction curve s (f), and generating a contraction intensity parameter s (f_test).
The magnetic stimulation scheme of the user comprises a scheme name, preset intensity parameters, frequency parameters, stimulation time, intermittent time, circulation times and the like.
Step 4: the actual stimulation intensity s_freq (f_test) is calculated according to the preset intensity parameter s_test, the frequency parameter f_test and the contraction intensity parameter s (f_test) corresponding to the magnetic stimulation scheme of the user:
s_freq (f_process) =s_process s (f_process)/s (i). Where s (i) is the intensity value of the reference frequency. If reference frequency i=10, s (10) is the intensity value of reference frequency 10 Hz. Taking the upper limit of the intensity as 100 as an example, when the calculated s_freq is greater than 100, the upper limit of the capacity of the biofeedback magnetic stimulator is reached and set as 100.
As shown in fig. 3, if the user successfully completes data acquisition in the preconditioning stage and the treatment based on the acquired data is successfully completed, the acquired data (user data) can be added into the database and updated and fit for the iso-contraction curve, and if the acquired data is not successfully acquired or fails to be treated, the acquired data is not added into the database.
The present embodiment will be described in detail with reference to specific data.
Referring to fig. 4, fig. 4 illustrates a graph of intensity versus frequency for the same degree of muscle contraction for different frequencies of magnetic stimulation by the general population, referred to as an isopycnic curve. As can be seen from fig. 4, the pain region, the contraction region and the non-contraction region are respectively from top to bottom, that is, when the magnetic stimulation is performed, in the pain region, the ordinary crowd can feel obvious pain along with muscle contraction, in the non-contraction region, the muscles of the ordinary crowd can not realize passive contraction, but only in the contraction region, the muscles of the ordinary crowd can passively contract without feeling obvious pain, and as can be clearly seen from the figure, the stimulus intensity of the contraction region of the ordinary crowd is about 20-95%, that is, when the stimulus intensity is lower than 20%, the muscles of the ordinary crowd basically do not appear in a contraction state, and when the stimulus intensity exceeds 95%, the ordinary crowd can feel pain.
As shown in fig. 5, fig. 5 shows the evaluation result of muscle strength of a user, and as can be seen from fig. 5, there are 5 peaks before the first 25s, and the difference between the 5 peaks and the trough is calculated and averaged to obtain the fast muscle contraction value g=6.7 mmHg, the effective contraction value C 0 =g×ratio=4.0 mmHg. Ratio is taken to be 0.6.
Enters a pre-regulation stage, and typical frequencies (10 Hz, 30Hz, 50)Hz, 70Hz, 100 Hz), gradually increasing the stimulation intensity when 10Hz magnetic stimulation, and collecting the actual pelvic floor contraction value C of the user in real time, wherein diff=c when c=3 mmHg 0 -c＝1>0, the stimulation intensity was continuously increased until the intensity was 45%, c was stabilized at 4mmHg, and s (10) =45 was recorded. In the same manner, s (30) =30, s (50) =24, s (70) =20, s (100) =19 are acquired.
Calculating four coefficients according to an isoshrink curve formula and a fitting formula:
to give b3= -0.00005345; b2 =0.0136; b1 -1.191; b0 = 55.46.
The user's isosystolic curve formula is:
s(f)＝-0.00005345*f 3 +0.0136*f 2 -1.191*f+55.46。
the scatter plot and fit plot of the acquired data consisting of typical frequencies (10 Hz, 30Hz, 50Hz, 70Hz, 100 Hz) are shown in FIG. 6. From the formula, the stimulus intensity corresponding to other frequencies can be calculated, and a user can calculate the corresponding contraction intensity of the stimulus frequency of 1-100Hz based on the equal contraction curve formula, wherein the corresponding contraction intensity is shown in the following table:
TABLE 1 user derives the corresponding intensity of contraction for 1-100Hz stimulation frequency based on the equation of the iso-contraction curve
In practical application, the magnetic stimulation scheme of the user is determined according to the treatment problem required by the user. The typical frequency, stimulation time, intermittent time, etc. of the required acquisition are different for different magnetic stimulation treatment schemes for different parts of the user. The parameters of the partial biofeedback magnetic treatment protocol are shown in the following table:
TABLE 2 partial biofeedback magnetic treatment protocol parameters
Assuming that the user needs to improve the basin bottom function, taking the basin bottom function as an example, combining the data parameters of table 1 and table 2, the preset intensity parameter of the preset actual total scheme selects s_test=60%, and the frequency parameter f_test is 10, 30, 50 and 80Hz respectively. Calculated according to the formula s_freq (f_process) =s_process (f_process)/s (10), the actual stimulus intensities are respectively:
s_freq(10)＝60*s(10)/s(10)＝60；
s_freq(30)＝60*s(30)/s(10)＝60*30.53/44.86＝40.83；
s_freq(50)＝60*s(50)/s(10)＝60*23.23/44.86＝31.07；
s_freq(80)＝60*s(80)/s(10)＝60*19.85/44.86＝26.55；
the calculated actual stimulus intensity is rounded, and the rounding mode is upward rounding, namely the actual stimulus intensity of the frequency parameter 10Hz is 60%; the actual stimulus intensity of the frequency parameter 30Hz is 41%; the actual stimulus intensity of the frequency parameter 50Hz is 32%; the actual stimulus intensity of the frequency parameter 80Hz is 27%.
After the treatment is completed, the corresponding relation (10) =45, s (30) =30, s (50) =24, s (70) =20, s (100) =19 between the typical frequency and the effective intensity of the user is added into a database, and the data in the database can be used for updating a default iso-contraction curve formula to serve the user with failed data acquisition in other pre-adjustment stages.
Before updating, default isopycnic curve formula:
s(f)＝-0.00007602*f 3 +0.01693*f 2 -1.2951*f+76.2
training a default equal contraction curve according to the corresponding relation between the typical frequency and the effective intensity of the user, and updating an equal contraction curve formula:
s(f)＝-0.00006474*f 3 +0.01526*f 2 -1.243*f+65.85
the default isoshrink curve is an existing isoshrink curve of other single users or an isoshrink curve fitted by a plurality of user data under the same treatment scheme.
In summary, the embodiment introduces quantitative indexes and an equal contraction curve to guide treatment, automatically adjusts the stimulation intensity of each frequency, realizes effective contraction in the whole treatment process, is more scientific and safe, saves manpower, and improves the treatment effect of magnetic stimulation.
Example 2
Referring to fig. 7, the embodiment describes an automatic frequency intensity adjusting system of a biofeedback magnetic stimulator, which includes a magnetic stimulation host, a biofeedback module, a singlechip, a communication module and a display module. The singlechip can adopt STM32 and GD32, and can also adopt other types of singlechips which can meet the calculation requirements of the embodiment.
The magnetic stimulation host is used for generating a space pulse magnetic field acting on pelvic floor muscles; the biofeedback module is used for collecting an actual pelvic floor contraction value c of the user pelvic floor muscle; the singlechip is used for receiving the actual basin bottom shrinkage value c to automatically adjust the frequency intensity and controlling the magnetic stimulation host according to the adjustment result; the display module is used for displaying user information, corresponding magnetic stimulation scheme parameters and actual basin bottom shrinkage value c data. The actual pelvic floor contraction value c data display may be displayed by a combination of scatter and graph. The communication module is respectively connected with the magnetic stimulation host, the biofeedback module, the singlechip and the display module and is used for realizing the communication among the magnetic stimulation host, the biofeedback module, the display module and the singlechip. And when the singlechip performs automatic frequency intensity adjustment, executing the step of the automatic frequency intensity adjustment method of the biofeedback magnetic stimulator.
The following is a brief description of the magnetically stimulated body. The magnetic stimulation main body adopts the existing structure and mainly comprises a main control board, a silicon controlled rectifier, a boosting power supply, an energy storage pulse capacitor, a resistance-capacitance absorption board, a stimulation coil and the like. The main control board controls the boost power supply to boost voltage, the charging circuit in the boost power supply charges the energy storage pulse capacitor, the main control board opens the silicon controlled rectifier after the charging is completed, the pulse capacitor discharges through the coil, the stimulation coil generates a space pulse magnetic field, and the space pulse magnetic field acts on pelvic floor muscles.
The biofeedback module is briefly described below. The biofeedback module consists of an air pressure sensor, an air circuit, an air pump and an electromagnetic valve which are positioned in the air circuit, and an air bag which is attached to the pelvic floor muscle of the user. The electromagnetic valve can control the on-off of the air circuit. The air pressure sensor is used for sensing the air pressure condition of the air bag. The air pump inflates the air bag according to the singlechip instruction, and the electromagnetic valve deflates the air bag according to the singlechip instruction, so that the air bag is under optimal air pressure, and the contraction condition of pelvic floor muscles can be accurately acquired.
As can be seen from fig. 8, the effective intensity automatic acquisition flow of the typical frequency by the interaction among the biofeedback module, the magnetic stimulation host and the singlechip is shown in fig. 8. Up to the actual pelvic floor muscle contraction value C of the user and the set effective contraction value C 0 And consistent.
The communication module comprises a wired communication unit and a wireless communication unit. Wired communication units include, but are not limited to, STD and CAMAC buses, ISA buses, VXI buses, PCI, compact and PXI buses, RS-232C, RS-422A, RS-485, USB, IEEE-1943, IEEE488, SCSI buses, and MXI buses. The wireless communication units include, but are not limited to, custom protocols, IEEE802.15.4 protocols, zigBee protocols, bluetooth protocols, loRa, and UWB communication modes.
In actual application, in the pre-adjustment stage, the singlechip controls the magnetic stimulation host to sequentially perform stimulation output with typical frequency, and the biofeedback module acquires an actual pelvic floor contraction value c of a user in real time. Taking 10Hz magnetic stimulation as an example, the single chip microcomputer gradually increases the stimulation intensity, and the biofeedback module acquires the actual pelvic floor contraction value C of the user in real time, and when c=3 mmHg, the error diff=C 0 -c＝1>And 0, continuously sending a command to the magnetic stimulation host machine by the singlechip to increase the stimulation intensity until the intensity is 45%, stabilizing c at 4mmHg, and recording s (10) =45. The rest data are fitted by the singlechip after the data of proper quantity are acquired until the data are acquired, the equal contraction curve of the user is obtained, the actual stimulation intensity corresponding to the frequency is calculated, the singlechip issues the integral intensity to the magnetic stimulation host, and the rounding mode is as followsAnd (3) rounding upwards, and if the effective intensity of the user is successfully acquired after treatment is completed, storing the frequency and the corresponding effective intensity into a corresponding database for updating a default isopycnic curve to serve the user who fails to acquire or does not want to acquire.
The system of the embodiment is based on the actual basin bottom shrinkage value C and the set effective shrinkage value C 0 The error in (2) adjusts the stimulus intensity to find the intensity of the effective contraction. And according to the frequency intensity corresponding data recorded in the pre-adjustment stage, fitting out a personal isocontraction curve of the user, and automatically adjusting the stimulation intensity of each frequency according to the isocontraction curve in the follow-up formal treatment, so as to realize the effective contraction of the whole treatment process. If the user does not coordinate the data acquisition of the preconditioning phase, the regimen treatment is performed using the default isocratic curve of the system. Whenever the new user completes the regimen treatment, his frequency intensity data will be added to the database for fitting to the default isopycnic curve of the updated system. As the number of uses increases and data accumulates, the isocratic curve will become more accurate and more representative. The embodiment can automatically adjust the stimulation intensity of each frequency, realize the effective contraction of a user, be more scientific and safe, save manpower and improve the treatment effect of magnetic stimulation.
The technical scope of the present invention is not limited to the above description, and those skilled in the art may make various changes and modifications to the above-described embodiments without departing from the technical spirit of the present invention, and these changes and modifications should be included in the scope of the present invention.
Claims (10)
1. The automatic frequency intensity adjusting method of the biofeedback magnetic stimulator is characterized by comprising the following steps of:
acquiring each typical frequency f (n) of the biofeedback magnetic stimulator, and acquiring effective intensity s (n) of a user capable of causing effective contraction of pelvic floor muscles under the stimulation of each typical frequency f (n); wherein n represents the number of the acquisition array and is a natural number;
fitting each typical frequency f (n) and its corresponding effective intensity s (n) to an equal contraction curve s (f):
s(f)＝b j *f j +b j-1 *f j-1 +...+b 1 *f+b 0 the method comprises the steps of carrying out a first treatment on the surface of the Wherein f represents the stimulation frequency of the magnetic stimulation scheme of the user, b j Represents the j-th order coefficient, b j-1 Represent the j-1 th order term coefficients, …, b 1 Representing the coefficient of the primary term, b 0 Representing constant term coefficients;
acquiring a preset intensity parameter s_test and a frequency parameter f_test corresponding to a magnetic stimulation scheme of a user, inputting the frequency parameter f_test into an isoshrink curve s (f), and generating a shrink intensity parameter s (f_test);
the actual stimulation intensity s_freq (f_test) is calculated according to the preset intensity parameter s_test, the frequency parameter f_test and the contraction intensity parameter s (f_test) corresponding to the magnetic stimulation scheme of the user:
s_freq (f_process) =s_process s (f_process)/s (i); where s (i) is the intensity value of the reference frequency.
2. The method for automatically adjusting the frequency intensity of a biofeedback magnetic stimulator according to claim 1, wherein j has a value of 3.
3. The method for automatically adjusting the frequency intensity of a biofeedback magnetic stimulator according to claim 1, wherein the method for determining the effective intensity s (n) capable of causing the pelvic floor muscle to effectively contract under the stimulation of the typical frequency f (n) comprises the steps of:
acquiring an actual pelvic floor contraction value C and an effective contraction value C under the current pulse stimulation of a user 0 And calculates the error value Diff of both: diff=c 0 -c; judging the current basin bottom shrinkage state according to the error value Diff, and making the following decision:
(1) If Diff >0; judging that the current contraction is weaker, and increasing the stimulus intensity of the next pulse;
(2) If Diff <0; judging that the current shrinkage is too strong, and reducing the stimulus intensity of the next pulse;
(3) If diff=0; judging that the current shrinkage accords with the expectation, and keeping the stimulus intensity unchanged for the next pulse;
and on the basis of the error value diff=0 under the current pulse stimulation, performing the next pulse stimulation and repeating the operation until the continuous M pulse error values Diff are kept to be 0, and judging that the current stimulation intensity is the effective intensity s (n) under the stimulation of the typical frequency f (n).
4. The method for automatically adjusting the frequency intensity of a biofeedback magnetic stimulator according to claim 3, wherein the effective contraction value C 0 The acquisition method of (1) is as follows:
determining the rapid muscle contraction value as G in the user's active muscle strength evaluation according to the pelvic floor muscle evaluation standard Glazer under the stimulation of the typical frequency f (n), and further calculating the effective contraction value C 0 ：C 0 =g×ratio; wherein Ratio is the active and passive conversion coefficient, and the value range (0, 1]。
5. The automatic frequency intensity adjusting method of biofeedback magnetic stimulator according to claim 2, wherein the cubic term coefficient b 3 Coefficient b of quadratic term 2 Coefficient b of primary term 1 Constant term coefficient b 0 The formula of (2) is as follows:
substituting each typical frequency f (n) and the corresponding effective intensity s (n) into the calculation formula to calculate a cubic term coefficient b 3 Coefficient b of quadratic term 2 Coefficient b of primary term 1 Constant term coefficient b 0 The method comprises the steps of carrying out a first treatment on the surface of the Wherein N represents the number of arrays of the typical frequency intensity, N represents the acquisition array number and is a natural number.
6. The method for automatically adjusting the frequency intensity of a biofeedback magnetic stimulator according to claim 1, wherein the magnetic stimulation regimen of the user includes a regimen name, a preset intensity parameter, a frequency parameter, a stimulation time, an intermittent time, and a number of cycles.
7. An automatic frequency intensity adjustment system for a biofeedback magnetic stimulator, comprising:
a magnetic stimulation host for generating a spatially pulsed magnetic field acting on pelvic floor muscles;
the biofeedback module is used for collecting an actual pelvic floor contraction value c of the user pelvic floor muscle;
the singlechip is used for receiving the actual pelvic floor contraction value c to automatically adjust the frequency intensity and controlling the magnetic stimulation host according to the adjustment result;
the communication module is respectively connected with the magnetic stimulation host, the biofeedback module and the singlechip and is used for realizing communication among the magnetic stimulation host, the biofeedback module and the singlechip;
the method is characterized in that the singlechip performs the step of the automatic frequency intensity adjustment method of the biofeedback magnetic stimulator according to any one of claims 1-6 when the automatic frequency intensity adjustment is performed.
8. The automatic frequency intensity adjusting system of the biofeedback magnetic stimulator according to claim 7, wherein the single chip microcomputer is connected with a display module through a communication module; the display module is used for displaying user information, corresponding magnetic stimulation scheme parameters and actual basin bottom shrinkage value c data.
9. The automatic frequency intensity adjustment system of a biofeedback magnetic stimulator according to claim 8, wherein the communication module includes a wired communication unit; the wired communication units include one or more of STD and CAMAC buses, ISA buses, VXI buses, PCI, compact and PXI buses, RS-232C, RS-422A, RS-485, USB, IEEE-1943, IEEE488, SCSI buses, and MXI buses.
10. The automatic frequency intensity adjustment system of a biofeedback magnetic stimulator according to claim 9, wherein the communication module further includes a wireless communication unit; the wireless communication unit comprises one or more of custom protocol, IEEE802.15.4 protocol, zigBee protocol, bluetooth protocol, loRa and UWB communication modes.
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| CN117473328B (en) * | 2023-12-26 | 2024-03-15 | 南京麦豆健康科技有限公司 | Big data-based vaginal relaxation assessment training system and method |
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