CN117958759B - Multi-crowd-oriented polysomnography system - Google Patents
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Abstract
The invention relates to the technical field of human body state monitoring, in particular to a polysomnography monitoring system for multiple crowds, which comprises a control terminal, an acquisition layer, an analysis layer and an evaluation layer; the control terminal is a main control terminal of the system and is used for sending out control commands; the basic parameters of the PSG equipment user and the sleep state parameters of the user, which are acquired by the PSG equipment in operation, are uploaded through the acquisition layer, are stored in the acquisition layer, and are synchronously stored in a distinguishing mode based on the characteristic parameters in the sleep state parameters of the user, and the analysis layer acquires the basic parameters of the PSG equipment user stored in the acquisition layer.
Description
Technical Field
The invention relates to the technical field of human body state monitoring, in particular to a polysomnography monitoring system for multiple groups of people.
Background
Polysomnography (PSG) is an examination item that evaluates a variety of sleep metrics of a patient, requiring a series of examination instruments to be worn in a sleep monitoring room, and to sleep (overnight or multiple naps) under video exploration. The sleep related indicators include sleep duration, sleep rhythm and sleep structure, blood oxygen saturation, respiratory rhythm, electrocardiographic changes, posture changes, limb movements, and the like.
At present, the polysomnography equipment has two defects in the use process:
(1): the internal system operation logic of the polysomnography equipment is fixed, and the adaptive operation logic cannot be performed according to the self situation of a user, so that the accuracy of the monitored data is poor;
(2): in the use process of the polysomnography equipment, medical staff is required to observe the data monitored by the operation of the polysomnography equipment, and whether the sleep state of the user is healthy or not can be evaluated by further summarizing, summarizing and arranging the data by the medical staff.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a polysomnography system for multiple groups, which solves the technical problems in the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
A polysomnography system for multiple crowds comprises a control terminal, an acquisition layer, an analysis layer and an evaluation layer;
The control terminal is a main control terminal of the system and is used for sending out control commands;
Uploading basic parameters of PSG equipment users and user sleep state parameters acquired by PSG equipment operation in an acquisition layer, storing the basic parameters in the acquisition layer, synchronously distinguishing and storing the stored user sleep state parameters based on characteristic parameters in the user sleep state parameters, analyzing the basic parameters of PSG equipment users by an analysis layer, analyzing the sleep quality basic score of the PSG equipment users by applying the basic parameters of the PSG equipment users, further analyzing the sleep quality of the PSG equipment users based on the user sleep state parameters and the sleep quality basic score of the PSG equipment users, receiving a final analysis result of the sleep quality of the PSG equipment users in the analysis layer by an evaluation layer, evaluating the sleep quality of the PSG equipment users based on the final analysis result, and carrying out safety judgment on the sleep quality change situation of the PSG equipment users under the state of continuously receiving the final analysis result of the sleep quality of the PSG equipment users;
the analysis layer comprises a calling module, a priori module and a posterior module, wherein the calling module is used for calling PSG equipment user basic parameters stored in the acquisition layer and distinguishing the stored user sleep state parameters, the priori module is used for traversing the PSG equipment user basic parameters called in the calling module, analyzing sleep quality basic components based on the PSG equipment user basic parameters, and the posterior module is used for receiving the PSG equipment user sleep quality basic components analyzed in the priori module and traversing the user sleep state parameters called in the calling module, and analyzing the sleep quality of the PSG equipment user by combining the PSG equipment user sleep quality basic components and the user sleep state parameters;
the sleep quality analysis logic of the PSG equipment user in the posterior module is expressed as follows:
Wherein: k is the final score of sleep quality of PSG equipment users; k base is a sleep quality basic score of a PSG equipment user; t v is a user sleep state time threshold corresponding to the user sleep state parameters distinguished by the v th group; t v-1 is a user sleep state time threshold corresponding to the user sleep state parameters distinguished by the v-1 th group; omega 1、ω2、...、ωx is the weight: e Q is a cardiopulmonary status representation value of the PSG equipment user in a sleep state; p e is the gesture change frequency of the PSG equipment user in the sleep state;
Wherein, v is equal to or less than 1 and equal to or less than 4, v is an integer, x=4, E Q epsilon (0, 2) in (Tv-Tv-1)ω1/(Tv-1-Tv-2)ω2/.../(T2-T1)ωx, and the more stable the respiratory frequency and arterial blood oxygen saturation are in the sleep state parameters of the user, the more average the respiratory length is, the larger the E Q value is, otherwise, the smaller the E Q value is, omega 1+ω2+...+ωx =1, and the larger the v is, the larger the corresponding multiplication weight value is.
Furthermore, the acquisition layer comprises a transmission module, a storage module and a distinguishing module, wherein the transmission module is used for connecting PSG equipment and uploading the sleep state parameters of the user acquired in the PSG equipment; the storage module is used for receiving the user sleep state parameters and the basic parameters uploaded by the transmission module, storing the user sleep state parameters and the basic parameters, and the distinguishing module is used for traversing the user sleep state parameters stored in the storage module, extracting the characteristic parameters in the user sleep state parameters and distinguishing the user sleep state parameters stored in the storage module based on the characteristic parameters;
The basic parameters of the PSG equipment user comprise: gender, age, historically diagnosed illness, currently unhealed illness, user sleep state parameters include: the sleep state parameters of the user are derived from PSG equipment, and the basic parameters of the PSG equipment user are manually uploaded in the transmission module based on the PSG equipment user.
Further, when the characteristic parameters in the user sleep state parameters, namely the user brain wave parameters, are used for distinguishing the stored user sleep state parameters based on the user brain wave parameters, a user sleep state parameter distinguishing time threshold is determined based on the similarity of the user brain wave parameters, and the user sleep state parameters are distinguished based on the user sleep state parameter distinguishing time threshold;
the user brain wave parameter similarity analysis logic is expressed as:
Wherein: SIM (o) is the brain wave diagram similarity in two groups of adjacent brain wave windows; n x-1 is the set of nodes in the x-1 group brain wave window; n x is the set of nodes in the x-th group brain wave window; the feature vector of the ith group of nodes in the brain wave window;
Wherein, SIM (o) is more than 0 and less than or equal to 1, and the brain wave parameter of the user consists of n 1、n2、n3、...、nx-1、nx;
Based on the similarity of the brain wave parameters of the user, the operation of determining the sleep state parameter distinguishing time threshold of the user is continuously executed, when the similarity analysis operation of the brain wave parameters of the user is executed for the first time, the brain wave window applied is 1min, 30s for the second time, 15s for the third time, 8s for the fourth time, 4s for the fifth time, 2s for the sixth time, 1s for the seventh time, and the operation is ended when the brain wave window applied is 1 s;
When the similarity is lower than 60% and two groups of adjacent brain wave windows are 1s, the front brain wave window serves as a user sleep state parameter distinguishing boundary line, a user sleep state parameter distinguishing time threshold is determined based on the user sleep state parameter distinguishing boundary line, and distinguishing processing of the user sleep state parameters in the storage module is completed;
The user sleep state parameter distinguishing boundary is 1-3 groups, and when the determined user sleep state parameter distinguishing boundary exceeds three groups based on the conditions that the similarity is lower than 60% and the two adjacent groups of brain wave windows are 1s, three groups of user sleep state parameter distinguishing boundary corresponding to the minimum similarity and the two adjacent groups of brain wave windows are 1s are applied, and the user sleep state parameter distinguishing time threshold is determined.
Still further, the sleep quality basis score analysis logic of the PSG device user in the prior module is expressed as:
Wherein: k base is a sleep quality basic score of a PSG equipment user; d is the age of the PSG device user; lambda is a correction factor; χ is a normalization factor; m is a set of PSG device user history diagnosis diseases; θ j is the interference degree of the j-th group history diagnosis disease on sleep quality; t j is the duration of the history diagnosis of disease for group j; q is the set of currently unhealed diseases of the PSG equipment user; θ p is the interference degree of the current unhealed diseases of the p group on the sleep quality; t p is the duration of the current uncooperative disease in group p; τ is the number of the same diseases in set m and set q;
The greater K base is, the greater the likelihood that the sleep quality of the PSG device user is good is indicated, otherwise, the lesser the likelihood that the sleep quality of the PSG device user is good is indicated, the correction factor λ is determined based on the sex of the PSG device user, and when the PSG device user is female, the correction factor λ=0.9, otherwise, the correction factor λ=1.1, the normalization factor 2 is not less than χ is not less than 1, and the greater the compliance d is, the greater the normalization factor χ is, the lesser d is, and the normalization factor χ is set to have a smaller value.
Furthermore, the interference degree of the diagnosis disease on the sleep quality is calculated by the following formula:
Wherein: θ is the interference degree of the disease diagnosis beta to sleep quality; g is the pain class of the diagnosed disease; f is the size of the pain area of the disease to be diagnosed, S is the proportion of the disease focus to be diagnosed, which affects the organism.
Further, the evaluation layer comprises a receiving module, an evaluation module and a judging module, wherein the receiving module is used for receiving the sleep quality analysis result of the PSG equipment user in the posterior module in the analysis layer and storing the analysis result, the evaluation module is used for setting a health judgment threshold value, comparing the sleep quality analysis result of the PSG equipment user stored in the receiving module with the sleep quality analysis result of the PSG equipment user based on the health judgment threshold value, evaluating whether the sleep state of the PSG equipment user from the sleep quality analysis result is healthy or not, and the judging module is used for judging whether the sleep quality change situation of the PSG equipment user is safe or not;
And in the operation stage of the judging module, monitoring the quantity of the PSG equipment user sleep quality analysis results stored in the receiving module in real time, further extracting the latest three groups of analysis results stored in the receiving module when the quantity of the analysis results is not less than three groups, identifying the corresponding scores of the three groups of extracted analysis results, and recording as K 1、K2、K3, whether the continuous reduction is carried out or not, or K 1＞K2、K1＞K3, if so, judging that the result is unsafe by the judging module, otherwise, judging that the result is unsafe by the judging module, if not, judging that the result is safe by the judging module.
Furthermore, the control terminal is in interactive connection with the acquisition layer, the analysis layer and the evaluation layer through a local area network, the calling module is in interactive connection with the prior module and the posterior module through the local area network, the calling module is in interactive connection with the distinguishing module through the local area network, the distinguishing module is in interactive connection with the storage module and the transmission module through the local area network, the posterior module is in interactive connection with the receiving module through the local area network, and the receiving module is in interactive connection with the evaluation module and the judgment module through the local area network.
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
the invention provides a polysomnography system for multiple crowds, which collects sleep state parameters of a user through PSG equipment in the running process of the system, and combines the basic parameters of the user, so that the authenticity and reliability of a sleep quality monitoring evaluation result made by the system for the user are better, and the crowd adaptability of the PSG equipment to different sleep monitoring is improved;
meanwhile, the user sleep state parameters collected by the PSG equipment are summarized and analyzed, so that the monitoring and evaluation difficulty of a PSG equipment management user based on the user sleep state parameters collected by the PSG equipment is effectively reduced, the monitoring and evaluation efficiency of the PSG equipment is improved, and more rapid monitoring and evaluation are performed on the PSG equipment user.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a schematic diagram of a polysomnography system for multiple people;
FIG. 2 is a schematic diagram of the logic for deriving the discrimination limits applied during the user sleep state parameter discrimination processing stage of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Example 1:
The polysomnography system for multiple crowds in the embodiment, as shown in fig. 1, comprises a control terminal, an acquisition layer, an analysis layer and an evaluation layer;
The control terminal is a main control terminal of the system and is used for sending out control commands;
Uploading basic parameters of PSG equipment users and user sleep state parameters acquired by PSG equipment operation in an acquisition layer, storing the basic parameters in the acquisition layer, synchronously distinguishing and storing the stored user sleep state parameters based on characteristic parameters in the user sleep state parameters, analyzing the basic parameters of PSG equipment users by an analysis layer, analyzing the sleep quality basic score of the PSG equipment users by applying the basic parameters of the PSG equipment users, further analyzing the sleep quality of the PSG equipment users based on the user sleep state parameters and the sleep quality basic score of the PSG equipment users, receiving a final analysis result of the sleep quality of the PSG equipment users in the analysis layer by an evaluation layer, evaluating the sleep quality of the PSG equipment users based on the final analysis result, and carrying out safety judgment on the sleep quality change situation of the PSG equipment users under the state of continuously receiving the final analysis result of the sleep quality of the PSG equipment users;
The acquisition layer comprises a transmission module, a storage module and a distinguishing module, wherein the transmission module is used for connecting PSG equipment and uploading user sleep state parameters acquired in the PSG equipment; the storage module is used for receiving the user sleep state parameters and the basic parameters uploaded by the transmission module, storing the user sleep state parameters and the basic parameters, and the distinguishing module is used for traversing the user sleep state parameters stored in the storage module, extracting the characteristic parameters in the user sleep state parameters and distinguishing the user sleep state parameters stored in the storage module based on the characteristic parameters;
The basic parameters of the PSG equipment user comprise: gender, age, historically diagnosed illness, currently unhealed illness, user sleep state parameters include: the method comprises the steps that brain waves, respiratory frequency, respiratory length, arterial blood oxygen saturation and limb posture of a user are changed, sleep state parameters of the user are derived from PSG equipment, and basic parameters of the user of the PSG equipment are manually uploaded in a transmission module based on the user of the PSG equipment;
The analysis layer comprises a calling module, a priori module and a posterior module, wherein the calling module is used for calling the PSG equipment user basic parameters stored in the acquisition layer and distinguishing the stored user sleep state parameters, the priori module is used for traversing the PSG equipment user basic parameters called in the calling module, analyzing the sleep quality basic score based on the PSG equipment user basic parameters, and the posterior module is used for receiving the PSG equipment user sleep quality basic score analyzed in the priori module and traversing the user sleep state parameters called in the calling module, and analyzing the sleep quality of the PSG equipment user by combining the PSG equipment user sleep quality basic and the user sleep state parameters;
the sleep quality analysis logic of the PSG equipment user in the posterior module is expressed as follows:
Wherein: k is the final score of sleep quality of PSG equipment users; k base is a sleep quality basic score of a PSG equipment user; t v is a user sleep state time threshold corresponding to the user sleep state parameters distinguished by the v th group; t v-1 is a user sleep state time threshold corresponding to the user sleep state parameters distinguished by the v-1 th group; omega 1、ω2、...、ωx is the weight: e Q is a cardiopulmonary status representation value of the PSG equipment user in a sleep state; p e is the gesture change frequency of the PSG equipment user in the sleep state;
Wherein, v is equal to or less than 1 and equal to or less than 4, v is an integer, x=4, E Q epsilon (0, 2) in (Tv-Tv-1)ω1/(Tv-1-Tv-2)ω2/.../(T2-T1)ωx, and the more stable the respiratory frequency and arterial blood oxygen saturation are in the sleep state parameters of the user, the more average the respiratory length is, the larger the E Q value is, otherwise, the smaller the E Q value is, omega 1+ω2+...+ωx =1, and the larger the v is, the larger the corresponding multiplication weight value is;
The evaluation layer comprises a receiving module, an evaluation module and a judging module, wherein the receiving module is used for receiving the sleep quality analysis result of the PSG equipment user in the posterior module in the analysis layer, storing the analysis result, the evaluation module is used for setting a health judgment threshold value, comparing the sleep quality analysis result of the PSG equipment user stored in the receiving module with the sleep quality analysis result of the PSG equipment user based on the health judgment threshold value, evaluating whether the sleep state of the PSG equipment user is healthy or not, and the judging module is used for judging whether the sleep quality change situation of the PSG equipment user is safe or not;
the control terminal is in interactive connection with the acquisition layer, the analysis layer and the evaluation layer through a local area network, the calling module is in interactive connection with the prior module and the posterior module through the local area network, the calling module is in interactive connection with the distinguishing module through the local area network, the distinguishing module is in interactive connection with the storage module and the transmission module through the local area network, the posterior module is in interactive connection with the receiving module through the local area network, and the receiving module is in interactive connection with the evaluation module and the judging module through the local area network.
In this embodiment, the control terminal controls the acquisition layer to operate, the transmission module is connected with the PSG device, uploads the user sleep state parameters acquired in the PSG device, uploads the basic parameters of the user of the PSG device, the storage module synchronously receives the user sleep state parameters and the basic parameters uploaded by the transmission module, stores the user sleep state parameters and the basic parameters, the distinguishing module is operated at a rear position to traverse the user sleep state parameters stored in the storage module, extracts the characteristic parameters in the user sleep state parameters, distinguishes the user sleep state parameters stored in the storage module based on the characteristic parameters, the retrieving module operates to retrieve the user basic parameters of the PSG device stored in the acquisition layer, distinguishes the stored user sleep state parameters, the priori module further traverses the user basic parameters of the PSG device retrieved in the retrieving module, analyzing the basic sleep quality score based on the basic PSG equipment user parameters, receiving the basic PSG equipment user sleep quality score analyzed in the prior module by the posterior module, traversing the user sleep state parameters acquired in the acquisition module, analyzing the sleep quality of the PSG equipment user by combining the basic PSG equipment user sleep quality and the user sleep state parameters, receiving the sleep quality analysis result of the PSG equipment user in the posterior module in the analysis layer by the receiving module, storing the analysis result, setting a health judgment threshold value by the evaluation module in real time, comparing the health judgment threshold value with the sleep quality analysis result of the PSG equipment user stored in the receiving module, evaluating whether the sleep state of the PSG equipment user is healthy or not, and judging whether the sleep quality change situation of the PSG equipment user is safe or not by the judgment module;
through the operation of the system, an intelligent control effect is provided for PSG equipment, so that the PSG equipment gets rid of the constraint of fixed operation logic, has strong adaptability and has the state of data analysis conditions, is used by PSG equipment users, and provides more rapid and accurate diagnosis for the users based on PSG equipment operation monitoring data for medical staff;
referring to fig. 2, the diagram further shows an electroencephalogram window applied when the sleep state parameters of the user are differentiated, so that the sleep state parameters of the user are reasonably differentiated according to the designated available logic, and necessary operation data support is provided for further operation of subsequent operation layers and modules in the system.
Example 2:
On the implementation level, based on embodiment 1, this embodiment further specifically describes a polysomnography system for multiple people in embodiment 1 with reference to fig. 1:
When the stored user sleep state parameters are distinguished based on the user brain wave parameters, determining a user sleep state parameter distinguishing time threshold based on the similarity of the user brain wave parameters, and distinguishing the user sleep state parameters further based on the user sleep state parameter distinguishing time threshold;
The brain wave parameter similarity analysis logic of the user is expressed as follows:
wherein: SIM (o) is the brain wave diagram similarity in two groups of adjacent brain wave windows; n x-1 is the set of nodes in the x-1 group brain wave window; nx is the set of nodes in the x-th group brain wave window; the feature vector of the ith group of nodes in the brain wave window;
wherein, SIM (o) is more than 0 and less than or equal to 1, and the brain wave parameters of the user are composed of n1, n2, n3, nx-1 and nx;
Based on the similarity of the brain wave parameters of the user, the operation of determining the sleep state parameter distinguishing time threshold of the user is continuously executed, when the similarity analysis operation of the brain wave parameters of the user is executed for the first time, the brain wave window applied is 1min, 30s for the second time, 15s for the third time, 8s for the fourth time, 4s for the fifth time, 2s for the sixth time, 1s for the seventh time, and the operation is ended when the brain wave window applied is 1 s;
When the similarity is lower than 60% and two groups of adjacent brain wave windows are 1s, the front brain wave window serves as a user sleep state parameter distinguishing boundary line, a user sleep state parameter distinguishing time threshold is determined based on the user sleep state parameter distinguishing boundary line, and distinguishing processing of the user sleep state parameters in the storage module is completed;
And when the determined user sleep state parameter distinguishing boundary exceeds three groups, three groups of user sleep state parameter distinguishing boundary corresponding to the lowest similarity and the two adjacent groups of brain wave windows are 1s are applied to determine the user sleep state parameter distinguishing time threshold based on the condition that the similarity is lower than 60% and the two adjacent groups of brain wave windows are 1 s.
In this embodiment, by setting the analysis logic of the similarity of the brain wave parameters of the user, further complete logic is provided for distinguishing sleep state parameters of the user, so as to ensure that the analysis operation of the sleep quality of the user of the PSG device in the posterior module is stably completed.
Example 3:
On the implementation level, based on embodiment 1, this embodiment further specifically describes a polysomnography system for multiple people in embodiment 1 with reference to fig. 1:
the sleep quality basis analysis logic of the PSG equipment user in the prior module is expressed as follows:
Wherein: k base is a sleep quality basic score of a PSG equipment user; d is the age of the PSG device user; lambda is a correction factor; χ is a normalization factor; m is a set of PSG device user history diagnosis diseases; θ j is the interference degree of the j-th group history diagnosis disease on sleep quality; t j is the duration of the history diagnosis of disease for group j; q is the set of currently unhealed diseases of the PSG equipment user; θ p is the interference degree of the current unhealed diseases of the p group on the sleep quality; t p is the duration of the current uncooperative disease in group p; τ is the number of the same diseases in set m and set q;
The greater K base is, the greater possibility that the sleep quality of the PSG equipment user is good is shown, otherwise, the lesser possibility that the sleep quality of the PSG equipment user is good is shown, the correction factor lambda is determined based on the sex of the PSG equipment user, when the PSG equipment user is female, the correction factor lambda=0.9, otherwise, the correction factor lambda=1.1, the normalization factor 2 is more than or equal to x and is more than or equal to 1, and the bigger the compliance d is, the bigger the normalization factor χ is, the smaller the d is, and the smaller the normalization factor χ is;
the interference degree of the disease to the sleep quality is determined by the following formula:
Wherein: θ is the interference degree of the disease diagnosis beta to sleep quality; g is the pain class of the diagnosed disease; f is the size of the pain area of the disease to be diagnosed, S is the proportion of the disease focus to be diagnosed, which affects the organism.
By setting the sleep quality basic analysis logic of the PSG equipment user, the pre-requisite data is provided for the operation of the sleep quality analysis logic of the PSG equipment user in the posterior module, and the PSG equipment operation has better adaptability to different user groups.
As shown in fig. 1, in the operation stage of the judging module, the number of the sleep quality analysis results of the PSG device user stored in the receiving module is monitored in real time, when the number of the analysis results is not less than three, the latest three groups of analysis results stored in the receiving module are further extracted, the corresponding scores of the three extracted continuous groups of analysis results are identified and marked as K 1、K2、K3, whether the continuous decrease is carried out or not, or K 1＞K2、K1＞K3 is marked, if yes, the judging module judges that the result is unsafe when the sleep quality change situation of the PSG device user is judged, otherwise, the judging module judges that the result is safe when the judging result is not less than three groups.
Through the arrangement, further operation logic support is provided for the operation of the judging module, and the judging module is ensured to be capable of stably carrying out safety judgment on the sleep quality change situation of the PSG equipment user.
In summary, in the above embodiment, the system collects sleep state parameters of the user through the PSG device in the running process, and cooperates with the basic parameters of the user, so that the authenticity and reliability of the sleep quality monitoring and evaluating result made by the system on the user are better, thereby improving the crowd adaptability of the PSG device to different sleep monitoring, meanwhile, summarizing and analyzing the sleep state parameters of the user collected by the PSG device, effectively reducing the difficulty of monitoring and evaluating made by the PSG device management user based on the sleep state parameters of the user collected by the PSG device, improving the monitoring and evaluating efficiency of the PSG device, and making faster monitoring and evaluating for the user of the PSG device.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. A polysomnography system for multiple people, comprising: the system comprises a control terminal, an acquisition layer, an analysis layer and an evaluation layer;
The control terminal is a main control terminal of the system and is used for sending out control commands;
Uploading basic parameters of PSG equipment users and user sleep state parameters acquired by PSG equipment operation in an acquisition layer, storing the basic parameters in the acquisition layer, synchronously distinguishing and storing the stored user sleep state parameters based on characteristic parameters in the user sleep state parameters, analyzing the basic parameters of PSG equipment users by an analysis layer, analyzing the sleep quality basic score of the PSG equipment users by applying the basic parameters of the PSG equipment users, further analyzing the sleep quality of the PSG equipment users based on the user sleep state parameters and the sleep quality basic score of the PSG equipment users, receiving a final analysis result of the sleep quality of the PSG equipment users in the analysis layer by an evaluation layer, evaluating the sleep quality of the PSG equipment users based on the final analysis result, and carrying out safety judgment on the sleep quality change situation of the PSG equipment users under the state of continuously receiving the final analysis result of the sleep quality of the PSG equipment users;
the analysis layer comprises a calling module, a priori module and a posterior module, wherein the calling module is used for calling PSG equipment user basic parameters stored in the acquisition layer and distinguishing the stored user sleep state parameters, the priori module is used for traversing the PSG equipment user basic parameters called in the calling module, analyzing sleep quality basic components based on the PSG equipment user basic parameters, and the posterior module is used for receiving the PSG equipment user sleep quality basic components analyzed in the priori module and traversing the user sleep state parameters called in the calling module, and analyzing the sleep quality of the PSG equipment user by combining the PSG equipment user sleep quality basic components and the user sleep state parameters;
the sleep quality analysis logic of the PSG equipment user in the posterior module is expressed as follows:
Wherein: k is the final score of sleep quality of PSG equipment users; k base is a sleep quality basic score of a PSG equipment user; t v is a user sleep state time threshold corresponding to the user sleep state parameters distinguished by the v th group; t v-1 is a user sleep state time threshold corresponding to the user sleep state parameters distinguished by the v-1 th group; omega 1、ω2、...、ωx is the weight: e Q is a cardiopulmonary status representation value of the PSG equipment user in a sleep state; p e is the gesture change frequency of the PSG equipment user in the sleep state;
Wherein, v is equal to or less than 1 and equal to or less than 4, v is an integer, x=4, E Q epsilon (0, 2) in (Tv-Tv-1)ω1/(Tv-1-Tv-2)ω2/.../(T2-T1)ωx, and the more stable the respiratory frequency and arterial blood oxygen saturation are in the sleep state parameters of the user, the more average the respiratory length is, the larger the E Q value is, otherwise, the smaller the E Q value is, omega 1+ω2+...+ωx =1, and the larger the v is, the larger the corresponding multiplication weight value is;
The sleep quality basic score analysis logic of the PSG equipment user in the prior module is expressed as follows:
Wherein: k base is a sleep quality basic score of a PSG equipment user; d is the age of the PSG device user; lambda is a correction factor; χ is a normalization factor; m is a set of PSG device user history diagnosis diseases; θ j is the interference degree of the j-th group history diagnosis disease on sleep quality; t j is the duration of the history diagnosis of disease for group j; q is the set of currently unhealed diseases of the PSG equipment user; θ p is the interference degree of the current unhealed diseases of the p group on the sleep quality; t p is the duration of the current uncooperative disease in group p; τ is the number of the same diseases in set m and set q;
The greater K base is, the greater possibility that the sleep quality of the PSG equipment user is good is shown, otherwise, the lesser possibility that the sleep quality of the PSG equipment user is good is shown, the correction factor lambda is determined based on the sex of the PSG equipment user, when the PSG equipment user is female, the correction factor lambda=0.9, otherwise, the correction factor lambda=1.1, the normalization factor 2 is more than or equal to x and is more than or equal to 1, and the bigger the compliance d is, the bigger the normalization factor χ is, the smaller the d is, and the smaller the normalization factor χ is;
the interference degree of the confirmed disease on the sleep quality is calculated by the following formula:
Wherein: θ is the interference degree of the disease diagnosis beta to sleep quality; g is the pain class of the diagnosed disease; f is the size of the pain area of the disease to be diagnosed, S is the proportion of the disease focus to be diagnosed, which affects the organism.
2. The multi-crowd-oriented polysomnography system of claim 1, wherein the acquisition layer comprises a transmission module, a storage module and a distinguishing module, wherein the transmission module is used for connecting PSG equipment and uploading user sleep state parameters acquired in the PSG equipment; the storage module is used for receiving the user sleep state parameters and the basic parameters uploaded by the transmission module, storing the user sleep state parameters and the basic parameters, and the distinguishing module is used for traversing the user sleep state parameters stored in the storage module, extracting the characteristic parameters in the user sleep state parameters and distinguishing the user sleep state parameters stored in the storage module based on the characteristic parameters;
The basic parameters of the PSG equipment user comprise: gender, age, historically diagnosed illness, currently unhealed illness, user sleep state parameters include: the sleep state parameters of the user are derived from PSG equipment, and the basic parameters of the PSG equipment user are manually uploaded in the transmission module based on the PSG equipment user.
3. The multi-crowd-oriented polysomnography system of claim 2, wherein the characteristic parameter of the user sleep state parameters is a user brain wave parameter, wherein when the stored user sleep state parameters are distinguished based on the user brain wave parameter, a user sleep state parameter distinguishing time threshold is determined based on the similarity of the user brain wave parameters, and further the user sleep state parameters are distinguished based on the user sleep state parameter distinguishing time threshold;
the user brain wave parameter similarity analysis logic is expressed as:
Wherein: SIM (o) is the brain wave diagram similarity in two groups of adjacent brain wave windows; n x-1 is the set of nodes in the x-1 group brain wave window; n x is the set of nodes in the x-th group brain wave window; the feature vector of the ith group of nodes in the brain wave window;
Wherein, SIM (o) is more than 0 and less than or equal to 1, and the brain wave parameters of the user are composed of n1, n2, n3, nx-1 and nx.
4. A polysomnography system according to claim 3, wherein the operation of determining the time threshold for distinguishing the sleep state parameters of the user is continuously performed based on the similarity of the brain wave parameters of the user, wherein the brain wave window applied is 1min, 30s for the second time, 15s for the third time, 8s for the fourth time, 4s for the fifth time, 2s for the sixth time, 1s for the seventh time, and is ended when the brain wave window applied is 1s when the similarity analysis operation of the brain wave parameters of the user is performed for the first time;
When the similarity is lower than 60% and two groups of adjacent brain wave windows are 1s, the front brain wave window serves as a user sleep state parameter distinguishing boundary line, a user sleep state parameter distinguishing time threshold is determined based on the user sleep state parameter distinguishing boundary line, and distinguishing processing of the user sleep state parameters in the storage module is completed.
5. The multi-crowd-oriented polysomnography system of claim 4, wherein the user sleep state parameter distinguishing boundary is 1-3 groups, and when the determined user sleep state parameter distinguishing boundary exceeds three groups based on the condition that the similarity is lower than 60% and two adjacent groups of brain wave windows are all 1s, three groups of user sleep state parameter distinguishing boundary corresponding to the lowest similarity and two adjacent groups of brain wave windows are all 1s are applied, and a user sleep state parameter distinguishing time threshold is determined.
6. The multi-crowd-oriented polysomnography system according to claim 1, wherein the evaluation layer comprises a receiving module, an evaluation module and a judging module, the receiving module is used for receiving the sleep quality analysis result of the PSG device user in the posterior module in the analysis layer and storing the analysis result, the evaluation module is used for setting a health judgment threshold value, comparing the sleep quality analysis result of the PSG device user stored in the receiving module with the sleep quality analysis result of the PSG device user based on the health judgment threshold value, and judging whether the sleep state of the PSG device user is healthy or not, and the judging module is used for judging whether the sleep quality change situation of the PSG device user is safe or not.
7. The multi-crowd-oriented polysomnography system according to claim 6, wherein the determining module is operative to monitor the number of the analysis results of the sleep quality of the PSG device user stored in the receiving module in real time, further extract the three latest stored analysis results in the receiving module when the number of the analysis results is not less than three, identify the continuous three extracted analysis results as corresponding scores of K 1、K2、K3, and record the continuous three extracted analysis results as K 1、K2、K3 or K 1＞K2、K1＞K3, if the continuous three extracted analysis results are continuously reduced, the identifying result is yes, the determining module determines that the sleep quality change situation of the PSG device user is unsafe, otherwise, the identifying result is no, and the determining module determines that the sleep quality change situation of the PSG device user is safe.
8. The polysomnography system for multiple crowds according to claim 1, wherein the control terminal is interactively connected with the acquisition layer, the analysis layer and the evaluation layer through a local area network, the calling module is interactively connected with the prior module and the posterior module through the local area network, the calling module is interactively connected with the distinguishing module through the local area network, the distinguishing module is interactively connected with the storage module and the transmission module through the local area network, the posterior module is interactively connected with the receiving module through the local area network, and the receiving module is interactively connected with the evaluation module and the judgment module through the local area network.
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