CN117116486A - Subjective and objective multidimensional sleep behavior evaluation quantification method, system and device - Google Patents
Subjective and objective multidimensional sleep behavior evaluation quantification method, system and device Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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- A—HUMAN NECESSITIES
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
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- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
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- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/70—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
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- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Abstract
The invention provides a subjective and objective multidimensional sleep behavior evaluation and quantification method, which comprises the following steps: obtaining an objective evaluation report or record of the sleeping behaviors of the user, and obtaining a first objective sleeping evaluation index set; obtaining a subjective evaluation report or record of the sleeping behaviors of a user, and obtaining a first subjective sleeping evaluation index set; comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, calculating a subjective and objective evaluation consistency coefficient and a sleep comprehensive evaluation grade, and generating a subjective and objective multidimensional sleep behavior evaluation report; and repeating the steps, continuously observing and recording the daily sleeping behaviors of the user, and generating a sleeping behavior management report of the user according to the subjective and objective multidimensional sleeping behavior evaluation report. The invention can complete the accurate, comprehensive, scientific and reasonable evaluation and quantification of the sleep quality or the sleep behavior of different people, and assist the user in the sleep regulation process.
Description
Technical Field
The invention relates to the field of sleep behavior evaluation and quantification, in particular to a subjective and objective multidimensional sleep behavior evaluation and quantification method, system and device.
Background
Sleep has significance and value of important physiological and psychological activities for life, work, study and physical and mental health of people. In general, as long as people have normal thinking and behaviors, the subjective experience on sleep is the most direct and accurate, and especially, whether the sleep quality experience before and after getting up is affected or the daytime behavior capability is improved; however, for people lacking normal thinking and behaviors, accurate or credible description and evaluation of sleep subjective experience cannot be made, and the evaluation of sleep behaviors and sleep quality of the group can be completed through a self-evaluation scale, medical observation evaluation and objective index quantification.
The prior art scheme CN113288096A discloses a sleep health management method and system based on short-term, medium-long term sleep data analysis, which comprises the steps that from the monitoring of user click, the user inputs subjective feeling of the user, and then the system automatically records and analyzes all data related to sound and vibration; in the time range of one day, distinguishing daytime sleep and night sleep according to the sleeping time of the user; generating a sleep report: generating statistics daily reports, statistics weekly reports and statistics monthly reports according to the sleep data of the user, and comprehensively analyzing the statistics daily reports, the statistics weekly reports and the statistics monthly reports in time intervals of days, weeks and months; according to the analysis results of the day, week and month, distinguishing normal and abnormal states, and respectively giving targeted guidance; and summarizing according to the management advice and the sleep data of the user, giving encouragement and experience summary to the positive actions, assisting the user to promote by oneself, and achieving the promotion of sleep quality and health.
The prior art scheme CN106073714a discloses a sleep quality identification method and system, which comprises a terminal, wherein the terminal comprises: the high-precision sensor module is used for sensing pulse and motion and converting the pulse and motion into an electric signal; a recorder module for receiving the electrical signal of the high-precision sensor module and storing a record; the acquisition module is used for inputting subjective indexes of a user by a manual mode; and the processor module is used for processing the data of the recorder module and/or processing the data of the acquisition module.
At present, in the two or other prior art schemes, whether in sleep medicine clinical or professional sleep health management, although subjective and objective joint evaluation is tried on the sleeping behaviors or sleeping quality of users, how to accurately distinguish the differences of subjective and objective experiences in different user groups and different user physiological/mental/cognitive states, how to comprehensively and uniformly fuse subjective and objective indexes and identify subjective and objective deviation tendencies, and especially how to handle the conditions of non-uniformity and even complete opposite of subjective experience reports and objective test results of users widely existing in real scenes, how to scientifically and reasonably realize subjective and objective multidimensional sleeping behavior evaluation quantification and finally assist users to obtain good sleeping; these are all difficulties to be solved in the current technical solutions and working practices.
Disclosure of Invention
Aiming at the defects and improvement demands of the existing method, the invention aims to provide a subjective and objective multidimensional sleep behavior evaluation quantification method, which is used for acquiring objective and subjective evaluation reports or records of sleep behaviors of users through multiple sources, identifying key objective and subjective evaluation indexes of the sleep, extracting subjective and objective evaluation consistency coefficients and calculating to obtain comprehensive sleep evaluation grades, generating a subjective and objective multidimensional sleep behavior evaluation report and a user sleep behavior management report, and completing accurate, comprehensive, scientific and reasonable evaluation quantification of the sleep quality or the sleep behaviors of different user groups and different user physiological/mental/cognitive states so as to assist the sleep of the users. The invention also provides a subjective and objective multidimensional sleep behavior evaluation and quantification system which is used for realizing the method. The invention also provides a subjective and objective multidimensional sleep behavior evaluation and quantification device which is used for realizing the system.
According to the purpose of the invention, the invention provides a subjective and objective multidimensional sleep behavior evaluation and quantification method, which comprises the following steps:
obtaining an objective evaluation report or record of the sleeping behaviors of the user, obtaining a first objective sleeping evaluation index set, and determining a sleeping key objective evaluation index;
Obtaining a subjective evaluation report or record of the sleeping behaviors of a user, obtaining a first subjective sleeping evaluation index set, and determining sleep key subjective evaluation indexes;
comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, calculating a subjective and objective evaluation consistency coefficient and a sleep comprehensive evaluation grade, and generating a subjective and objective multidimensional sleep behavior evaluation report;
and repeating the steps, continuously observing and recording the daily sleeping behaviors of the user, and generating a sleeping behavior management report of the user according to the subjective and objective multidimensional sleeping behavior evaluation report.
More preferably, the specific steps of obtaining the objective evaluation report or record of the sleep behavior of the user, obtaining the first objective sleep evaluation index set, and determining the sleep key objective evaluation index further include:
acquiring a sleep monitoring report of a user to obtain a first objective data index;
acquiring a physical intervention record of a user to obtain a second objective data index;
acquiring a medication record of a user to obtain a third objective data index;
acquiring a behavior activity record of a user to obtain a fourth objective data index;
integrating the first objective data index, the second objective data index, the third objective data index and the fourth objective data index to obtain the first objective sleep evaluation index set, and determining sleep key objective evaluation indexes.
More preferably, the sleep monitoring report is specifically a user sleep monitoring analysis report provided by a portable sleep monitoring product device or a polysomnography product device and finished by a professional clinical sleep technician; the first objective data index at least comprises sleep efficiency, total sleep duration, deep sleep duration duty ratio, sleep non-wake duration duty ratio, sleep time phase time duty ratio, sleep stage diagram, sleep heart rate curve, sleep blood oxygen curve, sleep apnea statistical data, sleep posture statistical data and sleep body movement statistical data.
More preferably, the physical intervention record is a specific record of the plan and execution of the physical intervention of the sleeping behavior of the user, including a physical intervention plan record and a physical intervention execution record; the second objective data index at least comprises a physical intervention mode, a physical intervention intensity, an intervention total duration, an intervention starting time and an intervention ending time.
More preferably, the medication taking record is a medication plan and an actual taking record of sleep behavior medication of a user, including a medication plan record and a taking execution record; the third objective data index at least comprises medicine category, medicine name, medicine dosage and medicine taking time.
More preferably, the behavioral activity records are specific key behavioral records of sleeping, sports and the like of the user; the fourth objective data index at least comprises a time of getting up, a time of falling asleep, a sport type and a total sport duration.
More preferably, the sleep key objective evaluation index at least comprises sleep efficiency, deep sleep duration duty ratio and sleep non-wake duration duty ratio.
More preferably, the specific steps of obtaining the subjective evaluation report or record of the sleep behavior of the user, obtaining the first subjective sleep evaluation index set, and determining the sleep key subjective evaluation index further include:
obtaining subjective experience reports before and after sleeping of a user to obtain a first subjective data index;
acquiring a sleep questionnaire list of a user to obtain a second subjective data index;
acquiring a medical care tracking observation report of a user to obtain a third subjective data index;
and integrating the first subjective data index, the second subjective data index and the third subjective data index to obtain the first subjective sleep evaluation index set.
More preferably, the subjective experience report is specifically a subjective experience evaluation report record of sleep quality and daytime behavior capability of a user; the first subjective data index at least comprises a sleep quality subjective experience grade score and a daytime behavioral ability subjective experience grade score.
More preferably, the sleep questionnaire table is specifically an international general sleep autonomous evaluation table of sleep status of a user, and at least comprises any one of PSQI, DBAS, AIS, SSS, ESS, ISI, STOP, STOP-BANG, MEQ, MCTQ, IRLS, MSQ, SDS; the second subjective data index at least comprises a subjective scale grade score and a scale evaluation result.
More preferably, the medical care tracking observation report is specifically an observation analysis record and overall evaluation of sleep behaviors and sleep quality of a user by doctors, nurses and sleep health managers; the third subjective data index at least comprises a doctor subjective observation evaluation grade score, a nurse subjective observation evaluation grade score and a sleep health manager subjective observation evaluation score.
More preferably, the sleep key subjective evaluation index is specifically a result index obtained by normalizing a sleep quality subjective experience grade score, a daytime behavioral ability subjective experience grade score, a subjective scale grade score and a doctor subjective observation evaluation grade score, and at least comprises a sleep quality subjective experience grade normalization score, a daytime behavioral ability subjective experience grade normalization score, a subjective scale grade normalization score and a doctor subjective observation evaluation grade normalization score.
More preferably, the specific step of comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, calculating a subjective and objective evaluation consistency coefficient and a sleep comprehensive evaluation level, and generating a subjective and objective multidimensional sleep behavior evaluation report further includes:
comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, and calculating to obtain the subjective and objective evaluation consistency coefficient and the sleep comprehensive evaluation grade;
and generating the subjective and objective multidimensional sleep behavior evaluation report according to the first objective sleep evaluation index set, the first subjective sleep evaluation index set and the sleep comprehensive evaluation grade.
More preferably, the specific calculation method of the sleep comprehensive evaluation level comprises the following steps:
1) Screening the sleep key objective evaluation index according to the first objective sleep evaluation index set;
2) Screening the sleep key subjective evaluation indexes according to the first subjective sleep evaluation index set;
3) Comparing the sleep key objective evaluation index with the sleep key subjective evaluation index to obtain a subjective and objective evaluation consistency coefficient;
4) Inputting the first objective sleep evaluation index set and the first subjective sleep evaluation index set into a subjective and objective multidimensional sleep behavior evaluation model, and outputting the model to obtain a sleep behavior quality comprehensive grade index;
5) And calculating the sleep comprehensive evaluation grade according to the sleep quality comprehensive grade index and the subjective and objective evaluation consistency coefficient and combining with a user individual correction coefficient.
More preferably, the extraction method of the subjective and objective evaluation consistency coefficient comprises the following steps:
1) Identifying and acquiring the sleep key objective evaluation index and the sleep key subjective evaluation index;
2) The index direction attribute of the sleep key objective evaluation index and the sleep key subjective evaluation index is uniformly adjusted to be a forward index through absolute value operation, namely, the better the sleep behavior is, the larger the evaluation index value is, and the sleep key objective evaluation index and the sleep key subjective evaluation index are updated;
3) Calculating the sign of the difference between the numerical sum of the sleep key objective evaluation indexes and the numerical sum of the sleep key subjective evaluation indexes to obtain a subjective and objective evaluation deviation sign coefficient, namely 1 or-1;
4) Cross calculating the index difference value of each index in the sleep key objective evaluation indexes and each index in the sleep key subjective evaluation indexes, and carrying out square calculation to obtain a subjective and objective evaluation deviation value set;
5) Weighting according to preset deviation indexes, carrying out weighted summation on all indexes in the subjective and objective evaluation deviation value set, and solving an average value to obtain a subjective and objective evaluation deviation factor;
6) And correcting the subjective and objective evaluation deviation factor by using the subjective and objective evaluation deviation sign coefficient to obtain the subjective and objective evaluation consistency coefficient.
More preferably, one calculation method of the subjective and objective evaluation consistency coefficient is as follows:
；
wherein,evaluating a consistency coefficient for said subjective and objective, <' > for->The total number of indexes of the sleep key objective evaluation indexes and the total number of indexes of the sleep key subjective evaluation indexes are +.>The i index in the sleep key objective evaluation index and the j index in the sleep key subjective evaluation index are respectively +.>The function sign () is used to determine the sign of a value as a weight coefficient.
More preferably, the method for generating the sleep behavior quality comprehensive index comprises the following steps:
1) Learning and training the first objective sleep evaluation index set and the first subjective sleep evaluation index set of the scale normal healthy population and the sleep disorder population and the corresponding sleep behavior quality comprehensive grade index through a deep learning technology to obtain the subjective and objective multidimensional sleep behavior evaluation model;
2) And inputting the first objective sleep evaluation index set and the first subjective sleep evaluation index set of the current user into the subjective and objective multi-dimensional sleep behavior evaluation model to obtain the sleep behavior quality comprehensive grade index.
More preferably, the sleep comprehensive evaluation level is specifically determined by fusion evaluation of the consistency of the current state, subjective experience and objective detection of the user and the sleep behavior quality; in particular, the consistency of the current state, subjective experience and objective detection of the user can maximally identify and distinguish different user groups and differences between different user states.
More preferably, a calculation formula of the sleep comprehensive evaluation level is as follows:
；
wherein,for the sleep comprehensive evaluation level, +.>The sleep behavior quality comprehensive grade index, the subjective and objective evaluation consistency coefficient and the user personality correction coefficient are respectively, and ∈>。
More preferably, the user personality correction factor is specifically related to a specific age, gender, physiological health status, and mental health status of the user; in general, the user's age is smaller, the physiological health status is better, and the mental health status is better, the user's personal correction coefficient is closer to 1.
More preferably, the subjective and objective multidimensional sleep behavior evaluation report at least comprises a sleep comprehensive evaluation grade, a subjective and objective evaluation consistency coefficient, a sleep key objective evaluation index, a sleep key subjective evaluation index, a sleep behavior objective evaluation nodule, a sleep behavior subjective evaluation nodule and a sleep behavior evaluation summary.
More preferably, the repeating the steps, continuously observing and recording the daily sleeping behaviors of the user, and generating a sleeping behavior management report of the user according to the subjective and objective multidimensional sleeping behavior evaluation report further includes:
repeating the steps, and continuously observing and recording the daily sleeping behaviors of the user;
and generating the sleep behavior management report of the user according to the subjective and objective multidimensional sleep behavior evaluation report.
More preferably, the user sleep behavior management report at least comprises a subjective and objective multidimensional sleep behavior evaluation report, a key sleep index curve or numerical value, a user sleep health risk description and a user sleep behavior management suggestion.
According to the purpose of the invention, the invention provides a subjective and objective multidimensional sleep behavior evaluation and quantification system, which comprises the following modules:
the objective index acquisition module is used for acquiring an objective evaluation report or record of the sleep behavior of the user, obtaining a first objective sleep evaluation index set and determining sleep key objective evaluation indexes;
the subjective index acquisition module is used for acquiring subjective evaluation reports or records of the sleeping behaviors of the user, obtaining a first subjective sleeping evaluation index set and determining sleeping key subjective evaluation indexes;
The multi-dimensional sleep evaluation module is used for comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, calculating a subjective and objective evaluation consistency coefficient and a sleep comprehensive evaluation grade, and generating a subjective and objective multi-dimensional sleep behavior evaluation report;
the behavior management report module is used for repeating the above steps, continuously observing and recording the daily sleeping behaviors of the user, and generating a sleeping behavior management report of the user according to the subjective and objective multidimensional sleeping behavior evaluation report;
and the data unified management module is used for storing, displaying and running management of all data of the system.
More preferably, the objective index obtaining module further includes the following functional units:
the monitoring report acquisition unit is used for acquiring a sleep monitoring report of a user to obtain a first objective data index;
the intervention record acquisition unit is used for acquiring physical intervention records of the user and obtaining a second objective data index;
the medicine taking record acquisition unit is used for acquiring medicine taking records of a user and obtaining a third objective data index;
the behavior record acquisition unit is used for acquiring a behavior activity record of the user and obtaining a fourth objective data index;
and the objective index integrating unit is used for integrating the first objective data index, the second objective data index, the third objective data index and the fourth objective data index to obtain the first objective sleep evaluation index set and determine sleep key objective evaluation indexes.
More preferably, the subjective index obtaining module further includes the following functional units:
the user experience acquisition unit is used for acquiring subjective experience reports before and after sleeping of a user to obtain a first subjective data index;
the scale evaluation acquisition unit is used for acquiring a sleep questionnaire scale of the user to obtain a second subjective data index;
the medical care report acquisition unit is used for acquiring a medical care tracking observation report of a user and obtaining a third data evaluation index;
the subjective index integrating unit is used for integrating the first subjective data index, the second subjective data index and the third subjective data index to obtain the first subjective sleep evaluation index set and determining sleep key subjective evaluation indexes.
More preferably, the multidimensional sleep assessment module further comprises the following functional units:
the comprehensive grade evaluation unit is used for comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, and calculating to obtain the subjective and objective evaluation consistency coefficient and the sleep comprehensive evaluation grade;
and the multidimensional evaluation report unit is used for generating the subjective and objective multidimensional sleep behavior evaluation report according to the first subjective sleep evaluation index set, the first subjective sleep evaluation index set and the sleep comprehensive evaluation grade.
More preferably, the behavior management report module further comprises the following functional units:
the circulation collection recording unit is used for repeating the above steps and continuously observing and recording the daily sleeping behaviors of the user;
the behavior report generation unit is used for generating the user sleep behavior management report according to the subjective and objective multidimensional sleep behavior evaluation report;
and the behavior report management unit is used for visual display and format output of the sleep behavior management report of the user.
More preferably, the data unified management module further comprises the following functional units:
the user information management unit is used for inputting, editing and maintaining and managing the user information;
the data operation management unit is used for storing, backing up, migrating, deleting and maintaining and managing the data;
and the data visualization unit is used for visual display management of the data.
According to the purpose of the invention, the invention provides a subjective and objective multidimensional sleep behavior evaluation and quantification device, which comprises the following modules:
the objective index acquisition module is used for acquiring an objective evaluation report or record of the sleeping behaviors of the user, obtaining a first objective sleeping evaluation index set and determining sleeping key objective evaluation indexes;
the subjective index acquisition module is used for acquiring subjective evaluation reports or records of the sleeping behaviors of the user, obtaining a first subjective sleeping evaluation index set and determining sleeping key subjective evaluation indexes;
The multi-dimensional sleep evaluation module is used for comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, calculating a subjective and objective evaluation consistency coefficient and a sleep comprehensive evaluation grade, and generating a subjective and objective multi-dimensional sleep behavior evaluation report;
the behavior management report module is used for repeating the above steps, continuously observing and recording the daily sleeping behaviors of the user, and generating a sleeping behavior management report of the user according to the subjective and objective multidimensional sleeping behavior evaluation report;
the data operation management module is used for storing and managing the operation of all data of the device;
and the data visualization module is used for the visual display management of all data of the device.
According to the application, objective and subjective evaluation reports or records of the sleep behaviors of the user are obtained through multiple sources, key objective and subjective evaluation indexes of the sleep are identified, subjective and objective evaluation consistency coefficients are extracted, comprehensive sleep evaluation grades are generated, subjective and objective multidimensional sleep behavior evaluation reports and user sleep behavior management reports are generated, accurate, comprehensive, scientific and reasonable evaluation quantification of the sleep quality or the sleep behaviors of different crowds is completed, and the sleep of the user is assisted. The consistency coefficient provided by the application can scientifically measure the contribution part of the subjective and objective evaluation to the sleeping behavior, identify the subjective and objective offset tendency, and accurately and effectively solve the problem that the subjective experience report and the objective test result of the user are inconsistent or even completely opposite widely existing in the reality scene; meanwhile, quantitative evaluation of subjective and objective sleep behaviors of a user is completed through fusion evaluation of the consistency of the current state, subjective experience and objective detection and the quality of the sleep behaviors, differences of the subjective and objective experiences in different crowds are accurately distinguished, subjective and objective indexes are comprehensively and uniformly fused, and accordingly the comprehensive sleep evaluation level obtained based on the method can be used for objectively, rapidly and accurately evaluating the sleep behaviors of different user crowds and different physiological/mental/cognitive states in a scientific and effective manner so as to assist subsequent sleep management.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
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The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate and do not limit the application.
FIG. 1 is a schematic flow chart of a subjective and objective multidimensional sleep behavior evaluation quantification method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of the module composition of a subjective and objective multidimensional sleep behavior assessment quantification system according to an embodiment of the present application;
fig. 3 is a schematic diagram of a module configuration of a subjective and objective multidimensional sleep behavior evaluation and quantification device according to an embodiment of the present application.
Detailed Description
In order to more clearly illustrate the objects and technical solutions of the present application, the present application will be further described below with reference to the accompanying drawings in the embodiments of the present application. It will be apparent that the embodiments described below are only some, but not all, embodiments of the application. Other embodiments, which are derived from the embodiments of the application by a person skilled in the art without creative efforts, shall fall within the protection scope of the application. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be arbitrarily combined with each other.
Referring to fig. 1, the subjective and objective multidimensional sleep behavior evaluation and quantification method provided by the embodiment of the invention comprises the following steps:
p100: obtaining an objective evaluation report or record of the sleeping behaviors of the user, obtaining a first objective sleeping evaluation index set, and determining a sleeping key objective evaluation index;
the first step, a sleep monitoring report of a user is obtained, and a first objective data index is obtained.
In this embodiment, the sleep monitoring report is specifically a user sleep monitoring analysis report provided by a portable sleep monitoring product device or a polysomnography product device and finished by a professional clinical sleep technician; the first objective data index comprises at least sleep efficiency, total sleep duration, deep sleep duration duty cycle, sleep non-wake duration duty cycle, sleep time-phase time duty cycle, sleep stage diagram, sleep heart rate curve, sleep blood oxygen curve, sleep apnea statistics, sleep posture statistics, and sleep body movement statistics.
In an actual application scene, polysomnography is a gold standard for objectively evaluating sleep quality and sleep behaviors, and to accurately and objectively evaluate the sleep quality or the behaviors of a user, PSG polysomnography is required to be performed on the user, and a professional clinical sleep technician interprets sleep monitoring data and generates or checks a sleep monitoring report. In addition, the sleep efficiency, the total sleep duration, the deep sleep duration, the sleep non-wake duration, the sleep wake duration and the time of each phase of sleep are the most commonly used and most direct objective indexes; for people with sleep respiratory problems, the indexes such as sleep heart rate curve, sleep blood oxygen curve, sleep apnea statistics data and sleep posture statistics data are required to be paid attention to. The sleep monitoring report of the user can be obtained through a third party interface or the acquisition and input.
And step two, acquiring a physical intervention record of the user to obtain a second objective data index.
In this embodiment, the physical intervention record is a specific record of planning and executing the physical intervention of the sleeping behavior of the user, including a physical intervention plan record and a physical intervention executing record; the second objective data index at least comprises a physical intervention mode, a physical intervention intensity, an intervention total duration, an intervention starting time and an intervention ending time.
In the practical application scene, physical intervention means of the sleeping behavior of the user comprise physical treatments or interventions such as vocal music, illumination, transcranial electricity, transcranial magnetism and the like, but the physical interventions need to be completed by the user according to the dosage on time, especially for people with serious sleeping disorders. The physical intervention record of the user can be obtained through a third party interface or the input is obtained.
And thirdly, acquiring a medication record of the user to obtain a third objective data index.
In this embodiment, the medication record specifically includes a medication plan and an actual medication record for the sleep behavior medication of the user, including a medication plan record and a medication execution record; the third objective data index at least comprises medicine category, medicine name, medicine dosage and medicine taking time.
In the practical application scene, people with severe sleep disorder need to take medicine according to dosage on time, so that the problems of sleep treatment and sleep behavior can be relieved or treated. Through a third party interface or the acquisition input, the medication records of the user can be obtained.
And step four, acquiring a behavior activity record of the user to obtain a fourth objective data index.
In this embodiment, the behavioral activity records are specifically key behavioral records of sleep, exercise, etc. of the user; the fourth objective data index at least comprises a time of getting up, a time of falling asleep, a type of exercise and a total duration of exercise.
In an actual application scene, regular sleeping rising and lying behavior time and proper quantity of motion can improve sleeping quality and sleeping behavior experience of a user. The behavioral activity record of the user can be obtained through a third party interface or an acquisition input.
And fifthly, integrating the first objective data index, the second objective data index, the third objective data index and the fourth objective data index to obtain a first objective sleep evaluation index set, and determining sleep key objective evaluation indexes.
In this embodiment, all of the first objective data indicator, the second objective data indicator, the third objective data indicator, and the fourth objective data indicator are integrated into the first objective sleep evaluation indicator set.
In this embodiment, the sleep key objective evaluation index includes at least sleep efficiency, a deep sleep duration ratio, and a sleep non-wake duration ratio.
P200: obtaining a subjective evaluation report or record of the sleeping behaviors of a user, obtaining a first subjective sleeping evaluation index set, and determining sleep key subjective evaluation indexes;
the method comprises the steps of firstly, obtaining subjective experience reports before and after sleeping of a user, and obtaining first subjective data indexes.
In this embodiment, the subjective experience report is specifically a subjective experience evaluation report record of sleep quality and daytime behavior capability of the user; the first subjective data indicator comprises at least a sleep quality subjective experience level score and a daytime behavioral ability subjective experience level score.
In the practical application scene, the subjective experience of people with normal thinking and behaviors on sleeping is the most direct and accurate, and especially the sleep quality experience before and after getting up and the daytime behavior capability evaluation are realized. In general, the daytime performance is not damaged or the sleeping quality experience before and after getting up is improved, which means that the sleeping quality and sleeping behavior of the user are very good.
And step two, acquiring a sleep questionnaire table of the user to obtain a second subjective data index.
In this embodiment, the sleep questionnaire table is specifically an international general sleep autonomic evaluation table of sleep status of a user, and at least includes any one of PSQI, DBAS, AIS, SSS, ESS, ISI, STOP, STOP-BANG, MEQ, MCTQ, IRLS, MSQ, SDS; the second subjective data index at least comprises a subjective scale grade score and a scale evaluation result.
In the practical application scene, the international general and sleep-related autonomous evaluation scale can be suitable for the sleep behavior self-evaluation of healthy people, sub-healthy people and various sleep disorder people, and the result of scale screening can also well reflect the sleep physiological and psychological experience of the user.
And thirdly, acquiring a medical care tracking observation report of the user to obtain a third subjective data index.
In the embodiment, the medical care tracking observation report is specifically an observation analysis record and overall evaluation of sleep behaviors and sleep quality of a user by doctors, nurses and sleep health managers; the third subjective data index includes at least a doctor subjective observation evaluation level score, a nurse subjective observation evaluation level score, and a sleep health manager subjective observation evaluation score.
In practical application scenarios, observation analysis reports of sleep behaviors and sleep quality of users are necessary and important for doctors, nurses and sleep health managers for people with severe sleep disorders who lack normal thinking and behaviors. These can compensate for false breaks and spurious statements of the self-sleeping behavior of the group of users.
Fourth, integrating the first subjective data index, the second subjective data index and the third subjective data index to obtain a first subjective sleep evaluation index set, and determining sleep key subjective evaluation indexes.
In this embodiment, all the data indexes of the first subjective data index, the second subjective data index and the third subjective data index are integrated into the first subjective sleep evaluation index set.
In this embodiment, the sleep key subjective evaluation index specifically is a result index obtained by normalizing a sleep quality subjective experience grade score, a daytime behavioral ability subjective experience grade score, a subjective scale grade score, and a doctor subjective observation evaluation grade score, and at least includes a sleep quality subjective experience grade normalization score, a daytime behavioral ability subjective experience grade normalization score, a subjective scale grade normalization score, and a doctor subjective observation evaluation grade normalization score.
P300: comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, calculating a subjective and objective evaluation consistency coefficient and a sleep comprehensive evaluation grade, and generating a subjective and objective multidimensional sleep behavior evaluation report;
the first step, comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, and calculating to obtain a subjective and objective evaluation consistency coefficient and a sleep comprehensive evaluation grade.
In this embodiment, the specific calculation method of the sleep comprehensive evaluation level is as follows:
1) Screening sleep key objective evaluation indexes according to the first objective sleep evaluation index set;
2) Screening sleep key subjective evaluation indexes according to the first subjective sleep evaluation index set;
3) Comparing the sleep key objective evaluation index with the sleep key subjective evaluation index to obtain a subjective and objective evaluation consistency coefficient;
4) Inputting the first objective sleep evaluation index set and the first subjective sleep evaluation index set into a subjective and objective multidimensional sleep behavior evaluation model, and outputting the model to obtain a sleep behavior quality comprehensive grade index;
5) And calculating to obtain the sleep comprehensive evaluation grade according to the sleep quality comprehensive grade index and the subjective and objective evaluation consistency coefficient and combining the user individual correction coefficient.
In this embodiment, the extraction method for objectively evaluating the consistency coefficient includes:
1) Identifying and acquiring sleep key objective evaluation indexes and sleep key subjective evaluation indexes;
2) The index direction attribute of the sleep key objective evaluation index and the sleep key subjective evaluation index is uniformly adjusted to be a forward index through absolute value operation, namely, the better the sleep behavior is, the larger the evaluation index value is, and the sleep key objective evaluation index and the sleep key subjective evaluation index are updated;
3) Calculating the sign of the difference between the numerical sum of the sleep key objective evaluation indexes and the numerical sum of the sleep key subjective evaluation indexes to obtain a subjective and objective evaluation deviation sign coefficient, namely 1 or-1;
4) Cross calculating the index difference value of each index in the sleep key objective evaluation indexes and each index in the sleep key subjective evaluation indexes, and carrying out square calculation to obtain a subjective and objective evaluation deviation value set;
5) Weighting according to preset deviation indexes, carrying out weighted summation on all indexes in the subjective and objective evaluation deviation value set, and solving an average value to obtain a subjective and objective evaluation deviation factor;
6) And correcting the subjective and objective evaluation deviation factor by using the subjective and objective evaluation deviation sign coefficient to obtain a subjective and objective evaluation consistency coefficient.
In this embodiment, one calculation method for objectively evaluating the consistency coefficient is as follows:
；
wherein,for subjective and objective evaluation of the consistency coefficient +.>The total number of indexes of the sleep key objective evaluation indexes and the total number of indexes of the sleep key subjective evaluation indexes are respectively->The (i) index of the sleep key objective evaluation index and the (j) index of the sleep key subjective evaluation index are respectively +.>The function sign () is used to determine the sign of a value as a weight coefficient.
In this embodiment, the method for generating the sleep quality integrated index includes:
1) The method comprises the steps of performing learning training on a first objective sleep evaluation index set and a first subjective sleep evaluation index set of scale normal healthy people and sleep disorder people and corresponding sleep behavior quality comprehensive grade indexes through a deep learning technology to obtain an objective and subjective multi-dimensional sleep behavior evaluation model;
2) And inputting the first objective sleep evaluation index set and the first subjective sleep evaluation index set of the current user into a subjective and objective multidimensional sleep behavior evaluation model to obtain a sleep behavior quality comprehensive grade index.
In the embodiment, the comprehensive sleep evaluation level is specifically determined by fusion evaluation of the consistency of the current state, subjective experience and objective detection of the user and the sleep behavior quality; in particular, the consistency of the current state, subjective experience and objective detection of the user can maximally identify and distinguish different user groups and differences between different user states.
In this embodiment, a calculation formula of the sleep comprehensive evaluation level is:
；
wherein,for sleep comprehensive evaluation grade->The sleep behavior quality comprehensive grade index, the subjective and objective evaluation consistency coefficient and the user personality correction coefficient are respectively, and +. >。
In this embodiment, the user personality correction coefficient is specifically related to a specific age, sex, physiological health status, and mental health status of the user; in general, the smaller the user age, the better the physiological health state and the better the psychological health state, the closer the user personality correction factor is to 1.
And secondly, generating a subjective and objective multidimensional sleep behavior evaluation report according to the first objective sleep evaluation index set, the first subjective sleep evaluation index set and the sleep comprehensive evaluation grade.
In this embodiment, the subjective and objective multidimensional sleep behavior evaluation report at least includes a comprehensive sleep evaluation level, a subjective and objective evaluation consistency coefficient, a sleep key objective evaluation index, a sleep key subjective evaluation index, a sleep behavior objective evaluation nodule, a sleep behavior subjective evaluation nodule, and a sleep behavior evaluation summary.
P400: and repeating the steps, continuously observing and recording the daily sleeping behaviors of the user, and generating a sleeping behavior management report of the user according to the subjective and objective multidimensional sleeping behavior evaluation report.
And the first step, repeating the steps, and continuously observing and recording the daily sleeping behaviors of the user.
In an actual application scene, observation, judgment, evaluation and quantification of the sleep behavior and sleep quality of a user generally need to be performed for a plurality of continuous days or a plurality of times to obtain accurate sleep behavior description data of the user. The conditions of first night effect, data acquisition interruption, poor quality and the like easily occur in polysomnography, and the conditions of subjective evaluation deviation and the like easily caused by inappropriate scene stress of individuals such as users, medical staff and the like in subjective evaluation scenes are also easy to occur. These data sources ultimately affect the sleep behavior or sleep quality evaluation of the user, and the accuracy of the results is low, so that continuous observation records for a plurality of times and a plurality of days are required.
And secondly, generating a sleep behavior management report of the user according to the subjective and objective multidimensional sleep behavior evaluation report.
In this embodiment, the user sleep behavior management report at least includes a subjective and objective multidimensional sleep behavior evaluation report, a key sleep index curve or value, a user sleep health risk description, and a user sleep behavior management suggestion.
In an actual application scene, the user sleep behavior management report can be used for guiding a user to carry out sleep behavior management, helping sleep health management and medical staff to supervise and manage the user sleep behavior, and can help the user to obtain good sleep quality and sleep experience through efficient and reasonable user sleep behavior management.
Referring to fig. 2, a subjective and objective multidimensional sleep behavior assessment quantification system is provided according to an embodiment of the present invention, and the system is configured to perform the above-mentioned method steps. The system comprises the following modules:
the objective index acquisition module S100 is used for acquiring an objective evaluation report or record of the sleep behavior of the user, obtaining a first objective sleep evaluation index set and determining sleep key objective evaluation indexes;
the subjective index obtaining module S200 is configured to obtain a subjective evaluation report or record of a sleep behavior of a user, obtain a first subjective sleep evaluation index set, and determine sleep key subjective evaluation indexes;
The multi-dimensional sleep evaluation module S300 is used for comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, calculating a subjective and objective evaluation consistency coefficient and a sleep comprehensive evaluation grade, and generating a subjective and objective multi-dimensional sleep behavior evaluation report;
the behavior management report module S400 is used for repeating the above steps, continuously observing and recording the daily sleeping behaviors of the user, and generating a sleeping behavior management report of the user according to the subjective and objective multidimensional sleeping behavior evaluation report;
and the data unified management module S500 is used for storing, displaying and running management of all data of the system.
In this embodiment, the objective index obtaining module S100 further includes the following functional units:
the monitoring report acquisition unit is used for acquiring a sleep monitoring report of a user to obtain a first objective data index;
the intervention record acquisition unit is used for acquiring physical intervention records of the user and obtaining a second objective data index;
the medicine taking record acquisition unit is used for acquiring medicine taking records of a user and obtaining a third objective data index;
the behavior record acquisition unit is used for acquiring a behavior activity record of the user and obtaining a fourth objective data index;
the objective index integrating unit is used for integrating the first objective data index, the second objective data index, the third objective data index and the fourth objective data index to obtain a first objective sleep evaluation index set and determining sleep key objective evaluation indexes.
In this embodiment, the subjective index obtaining module S200 further includes the following functional units:
the user experience acquisition unit is used for acquiring subjective experience reports before and after sleeping of a user to obtain a first subjective data index;
the scale evaluation acquisition unit is used for acquiring a sleep questionnaire scale of the user to obtain a second subjective data index;
the medical care report acquisition unit is used for acquiring a medical care tracking observation report of a user to obtain a third subjective data index;
the subjective index integrating unit is used for integrating the first subjective data index, the second subjective data index and the third subjective data index to obtain a first subjective sleep evaluation index set and determining sleep key subjective evaluation indexes.
In this embodiment, the multidimensional sleep evaluation module S300 further includes the following functional units:
the comprehensive grade evaluation unit is used for comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, and calculating to obtain a subjective and objective evaluation consistency coefficient and a sleep comprehensive evaluation grade;
the multi-dimensional evaluation report unit is used for generating a subjective and objective multi-dimensional sleep behavior evaluation report according to the first objective sleep evaluation index set, the first subjective sleep evaluation index set and the sleep comprehensive evaluation grade.
In this embodiment, the behavior management report module S400 further includes the following functional units:
the circulation collection recording unit is used for repeating the above steps and continuously observing and recording the daily sleeping behaviors of the user;
the behavior report generating unit is used for generating a user sleep behavior management report according to the subjective and objective multidimensional sleep behavior evaluation report;
and the behavior report management unit is used for visual display and format output of the sleep behavior management report of the user.
In this embodiment, the data unified management module S500 further includes the following functional units:
the user information management unit is used for inputting, editing and maintaining and managing the user information;
the data operation management unit is used for storing, backing up, migrating, deleting and maintaining and managing the data;
and the data visualization unit is used for visual display management of the data.
Referring to fig. 3, the subjective and objective multidimensional sleep behavior evaluation and quantification device provided by the embodiment of the invention comprises the following modules:
the objective index acquisition module M100 is used for acquiring an objective evaluation report or record of the sleep behavior of the user, obtaining a first objective sleep evaluation index set and determining sleep key objective evaluation indexes;
the subjective index acquisition module M200 is used for acquiring subjective evaluation reports or records of sleep behaviors of a user, obtaining a first subjective sleep evaluation index set and determining sleep key subjective evaluation indexes;
The multi-dimensional sleep evaluation module M300 is used for comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, calculating a subjective and objective evaluation consistency coefficient and a sleep comprehensive evaluation grade, and generating a subjective and objective multi-dimensional sleep behavior evaluation report;
the behavior management report module M400 is used for repeating the above steps, continuously observing and recording the daily sleeping behaviors of the user, and generating a sleeping behavior management report of the user according to the subjective and objective multidimensional sleeping behavior evaluation report;
the data operation management module M500 is used for storing and managing the operation of all data of the device;
the data visualization module M600 is used for the visual display management of all data of the device.
The apparatus is configured to correspondingly perform the steps of the method of fig. 1, and will not be described in detail herein.
The present invention also provides various types of programmable processors (FPGA, ASIC or other integrated circuit) for running a program, wherein the program when run performs the steps of the embodiments described above.
The invention also provides corresponding computer equipment, comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the memory realizes the steps in the embodiment when the program is executed.
Although the embodiments of the present invention are described above, the embodiments are only used for facilitating understanding of the present invention, and are not intended to limit the present invention. Any person skilled in the art to which the present invention pertains may make any modifications, changes, equivalents, etc. in form and detail of the implementation without departing from the spirit and principles of the present invention disclosed herein, which are within the scope of the present invention. Accordingly, the scope of the invention should be determined from the following claims.
Claims (29)
1. The subjective and objective multidimensional sleep behavior evaluation and quantification method is characterized by comprising the following steps of:
obtaining an objective evaluation report or record of the sleeping behaviors of the user, obtaining a first objective sleeping evaluation index set, and determining a sleeping key objective evaluation index;
obtaining a subjective evaluation report or record of the sleeping behaviors of a user, obtaining a first subjective sleeping evaluation index set, and determining sleep key subjective evaluation indexes;
comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, calculating a subjective and objective evaluation consistency coefficient and a sleep comprehensive evaluation grade, and generating a subjective and objective multidimensional sleep behavior evaluation report;
Repeating the steps, continuously observing and recording the daily sleeping behaviors of the user, and generating a sleeping behavior management report of the user according to the subjective and objective multidimensional sleeping behavior evaluation report;
the extraction method of the subjective and objective evaluation consistency coefficient comprises the following steps:
1) Identifying and acquiring the sleep key objective evaluation index and the sleep key subjective evaluation index;
2) The index direction attribute of the sleep key objective evaluation index and the sleep key subjective evaluation index is uniformly adjusted to be a forward index through absolute value operation, namely, the better the sleep behavior is, the larger the evaluation index value is, and the sleep key objective evaluation index and the sleep key subjective evaluation index are updated;
3) Calculating the sign of the difference between the numerical sum of the sleep key objective evaluation indexes and the numerical sum of the sleep key subjective evaluation indexes to obtain a subjective and objective evaluation deviation sign coefficient, namely 1 or-1;
4) Cross calculating the index difference value of each index in the sleep key objective evaluation indexes and each index in the sleep key subjective evaluation indexes, and carrying out square calculation to obtain a subjective and objective evaluation deviation value set;
5) Weighting according to preset deviation indexes, carrying out weighted summation on all indexes in the subjective and objective evaluation deviation value set, and solving an average value to obtain a subjective and objective evaluation deviation factor;
6) And correcting the subjective and objective evaluation deviation factor by using the subjective and objective evaluation deviation sign coefficient to obtain the subjective and objective evaluation consistency coefficient.
2. The method of claim 1, wherein the step of obtaining an objective assessment report or record of the sleep behavior of the user, the specific step of obtaining a first set of objective sleep assessment indicators further comprises:
acquiring a sleep monitoring report of a user to obtain a first objective data index;
acquiring a physical intervention record of a user to obtain a second objective data index;
acquiring a medication record of a user to obtain a third objective data index;
acquiring a behavior activity record of a user to obtain a fourth objective data index;
and integrating the first objective data index, the second objective data index, the third objective data index and the fourth objective data index to obtain the first objective sleep evaluation index set.
3. The method of claim 2, wherein: the sleep monitoring report is specifically a user sleep monitoring analysis report provided by portable sleep monitoring product equipment or polysomnography product equipment and finished by a professional clinical sleep technician; the first objective data index at least comprises any one of sleep efficiency, total sleep duration, deep sleep duration duty ratio, sleep non-wake duration duty ratio, sleep time-phase time duty ratio, sleep stage diagram, sleep heart rate curve, sleep blood oxygen curve, sleep apnea statistical data, sleep posture statistical data and sleep body movement statistical data.
4. The method of claim 2, wherein: the physical intervention records are specific records for planning and executing the physical intervention of the sleeping behavior of the user, and comprise physical intervention plan records and physical intervention execution records; the second objective data index at least comprises any one of a physical intervention mode, a physical intervention intensity, an intervention total duration, an intervention starting time and an intervention ending time.
5. The method of claim 2, wherein: the medication and taking record specifically comprises a medication plan of sleep behavior medication of a user and an actual taking record, including a medication plan record and a taking execution record; the third objective data index at least comprises any one of medicine category, medicine name, medicine dosage and medicine taking time.
6. The method of claim 2, wherein: the behavior activity records are concretely sleep and movement key behavior records of the user; the fourth objective data index at least comprises any one of a time of getting up, a time of falling asleep, a sport type and a total sport duration.
7. The method according to claim 1 or 2, wherein the specific step of obtaining a subjective evaluation report or record of the sleep behavior of the user, and obtaining the first set of subjective sleep evaluation indicators further comprises:
Obtaining subjective experience reports before and after sleeping of a user to obtain a first subjective data index;
acquiring a sleep questionnaire list of a user to obtain a second subjective data index;
acquiring a medical care tracking observation report of a user to obtain a third subjective data index;
and integrating the first subjective data index, the second subjective data index and the third subjective data index to obtain the first subjective sleep evaluation index set.
8. The method according to claim 7, wherein the subjective experience report is specifically a subjective experience assessment report record of sleep quality and daytime behavioral ability of the user; the first subjective data index at least comprises any one of sleep quality subjective experience grade scores and daytime behavioral ability subjective experience grade scores.
9. The method of claim 7, wherein: the sleep questionnaire is specifically an international general sleep autonomous evaluation scale of the sleep condition of a user and at least comprises any one of PSQI, DBAS, AIS, SSS, ESS, ISI, STOP, STOP-BANG, MEQ, MCTQ, IRLS, MSQ, SDS; the second subjective data index at least comprises a subjective scale grade score and/or a scale evaluation result.
10. The method of claim 7, wherein: the medical care tracking observation report is specifically observation analysis record and overall evaluation of sleeping behaviors and sleeping quality of a user by doctors, nurses and sleep health managers; the third subjective data index at least comprises any one of a doctor subjective observation evaluation grade score, a nurse subjective observation evaluation grade score and a sleep health manager subjective observation evaluation grade score.
11. The method of claim 1, wherein: the specific steps of comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, calculating a subjective and objective evaluation consistency coefficient and a sleep comprehensive evaluation grade, and generating a subjective and objective multidimensional sleep behavior evaluation report further comprise:
comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, and calculating to obtain the subjective and objective evaluation consistency coefficient and the sleep comprehensive evaluation grade;
and generating the subjective and objective multidimensional sleep behavior evaluation report according to the first objective sleep evaluation index set, the first subjective sleep evaluation index set and the sleep comprehensive evaluation grade.
12. The method of claim 11, wherein the specific calculation method of the sleep comprehensive evaluation level is as follows:
1) Screening the sleep key objective evaluation index according to the first objective sleep evaluation index set;
2) Screening the sleep key subjective evaluation indexes according to the first subjective sleep evaluation index set;
3) Comparing the sleep key objective evaluation index with the sleep key subjective evaluation index to obtain a subjective and objective evaluation consistency coefficient;
4) Inputting the first objective sleep evaluation index set and the first subjective sleep evaluation index set into a subjective and objective multidimensional sleep behavior evaluation model, and outputting the model to obtain a sleep behavior quality comprehensive grade index;
5) And calculating the sleep comprehensive evaluation grade according to the sleep quality comprehensive grade index and the subjective and objective evaluation consistency coefficient and combining with a user individual correction coefficient.
13. The method of claim 12, wherein the sleep key objective assessment indicator comprises at least any one of sleep efficiency, deep sleep duration duty cycle, and sleep non-wake duration duty cycle.
14. The method according to claim 12, wherein the sleep key subjective evaluation index is specifically a result index obtained by normalizing a sleep quality subjective experience grade score, a daytime behavioral performance subjective experience grade score, a subjective scale grade score, and a doctor subjective observation evaluation grade score, and at least includes a sleep quality subjective experience grade normalization score, a daytime behavioral performance subjective experience grade normalization score, a subjective scale grade normalization score, and a doctor subjective observation evaluation grade normalization score.
15. The method of claim 12, wherein one way of calculating the subjective and objective assessment consistency coefficient is:
；
wherein,evaluating a consistency coefficient for said subjective and objective, <' > for->The total number of indexes of the sleep key objective evaluation indexes and the total number of indexes of the sleep key subjective evaluation indexes are +.>The i index in the sleep key objective evaluation index and the j index in the sleep key subjective evaluation index are respectively +.>The function sign () is used to determine the sign of a value as a weight coefficient.
16. The method according to any one of claims 12 to 15, wherein the sleep quality integrated grade index is generated by:
1) Learning and training the first objective sleep evaluation index set and the first subjective sleep evaluation index set of the scale normal healthy population and the sleep disorder population and the corresponding sleep behavior quality comprehensive grade index through a deep learning technology to obtain the subjective and objective multidimensional sleep behavior evaluation model;
2) And inputting the first objective sleep evaluation index set and the first subjective sleep evaluation index set of the current user into the subjective and objective multi-dimensional sleep behavior evaluation model to obtain the sleep behavior quality comprehensive grade index.
17. The method of claim 16, wherein the sleep aggregate rating is determined specifically by a fusion rating of consistency of user current state, subjective experience and objective detection, and sleep behavior quality; the consistency of the current state, subjective experience and objective detection of the user can maximally identify and distinguish different user groups and differences among different user states.
18. The method of claim 16, wherein a calculation formula of the sleep synthesis evaluation level is:
；
wherein,for the sleep comprehensive evaluation level, +.>The sleep behavior quality comprehensive grade index, the subjective and objective evaluation consistency coefficient and the user personality correction coefficient are respectively, and ∈>。
19. The method of claim 18, wherein the user personality correction factor is specifically related to a specific age, gender, physiological health, and mental health of the user; in general, the user's age is smaller, the physiological health status is better, and the mental health status is better, the user's personal correction coefficient is closer to 1.
20. The method of claim 12, wherein the subjective and objective multidimensional sleep behavior assessment report comprises at least a sleep comprehensive assessment level, a subjective and objective assessment consistency coefficient, a sleep key objective assessment index, a sleep key subjective assessment index, a sleep behavior objective assessment summary, a sleep behavior subjective assessment summary, and a sleep behavior assessment summary.
21. The method of claim 1, wherein: repeating the steps, continuously observing and recording the daily sleeping behaviors of the user, and generating a sleeping behavior management report of the user according to the subjective and objective multidimensional sleeping behavior evaluation report, wherein the specific steps further comprise:
repeating the steps, and continuously observing and recording the daily sleeping behaviors of the user;
and generating the sleep behavior management report of the user according to the subjective and objective multidimensional sleep behavior evaluation report.
22. The method of claim 21, wherein the user sleep behavior management report includes at least a subjective objective multi-dimensional sleep behavior assessment report, a key sleep index curve or value, a user sleep health risk explanation, a user sleep behavior management recommendation.
23. The subjective and objective multidimensional sleep behavior evaluation and quantification system is characterized by comprising the following modules:
the objective index acquisition module is used for acquiring an objective evaluation report or record of the sleep behavior of the user, obtaining a first objective sleep evaluation index set and determining sleep key objective evaluation indexes;
the subjective index acquisition module is used for acquiring subjective evaluation reports or records of the sleeping behaviors of the user, obtaining a first subjective sleeping evaluation index set and determining sleeping key subjective evaluation indexes;
The multi-dimensional sleep evaluation module is used for comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, calculating a subjective and objective evaluation consistency coefficient and a sleep comprehensive evaluation grade, and generating a subjective and objective multi-dimensional sleep behavior evaluation report;
the behavior management report module is used for repeating the above steps, continuously observing and recording the daily sleeping behaviors of the user, and generating a sleeping behavior management report of the user according to the subjective and objective multidimensional sleeping behavior evaluation report;
the data unified management module is used for storing, displaying and running management of all data of the system;
the extraction method of the subjective and objective evaluation consistency coefficient comprises the following steps:
1) Identifying and acquiring the sleep key objective evaluation index and the sleep key subjective evaluation index;
2) The index direction attribute of the sleep key objective evaluation index and the sleep key subjective evaluation index is uniformly adjusted to be a forward index through absolute value operation, namely, the better the sleep behavior is, the larger the evaluation index value is, and the sleep key objective evaluation index and the sleep key subjective evaluation index are updated;
3) Calculating the sign of the difference between the numerical sum of the sleep key objective evaluation indexes and the numerical sum of the sleep key subjective evaluation indexes to obtain a subjective and objective evaluation deviation sign coefficient, namely 1 or-1;
4) Cross calculating the index difference value of each index in the sleep key objective evaluation indexes and each index in the sleep key subjective evaluation indexes, and carrying out square calculation to obtain a subjective and objective evaluation deviation value set;
5) Weighting according to preset deviation indexes, carrying out weighted summation on all indexes in the subjective and objective evaluation deviation value set, and solving an average value to obtain a subjective and objective evaluation deviation factor;
6) And correcting the subjective and objective evaluation deviation factor by using the subjective and objective evaluation deviation sign coefficient to obtain the subjective and objective evaluation consistency coefficient.
24. The method of claim 23, wherein: the objective index acquisition module further comprises the following functional units:
the monitoring report acquisition unit is used for acquiring a sleep monitoring report of a user to obtain a first objective data index;
the intervention record acquisition unit is used for acquiring physical intervention records of the user and obtaining a second objective data index;
the medicine taking record acquisition unit is used for acquiring medicine taking records of a user and obtaining a third objective data index;
the behavior record acquisition unit is used for acquiring a behavior activity record of the user and obtaining a fourth objective data index;
And the objective index integrating unit is used for integrating the first objective data index, the second objective data index, the third objective data index and the fourth objective data index to obtain the first objective sleep evaluation index set.
25. The method as recited in claim 24, wherein: the subjective index obtaining module further comprises the following functional units:
the user experience acquisition unit is used for acquiring subjective experience reports before and after sleeping of a user to obtain a first subjective data index;
the scale evaluation acquisition unit is used for acquiring a sleep questionnaire scale of the user to obtain a second subjective data index;
the medical care report acquisition unit is used for acquiring a medical care tracking observation report of a user to obtain a third subjective data index;
and the subjective index integrating unit is used for integrating the first subjective data index, the second subjective data index and the third subjective data index to obtain the first subjective sleep evaluation index set.
26. The method of claim 23, wherein: the multidimensional sleep evaluation module further comprises the following functional units:
the comprehensive grade evaluation unit is used for comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, and calculating to obtain the subjective and objective evaluation consistency coefficient and the sleep comprehensive evaluation grade;
And the multidimensional evaluation report unit is used for generating the subjective and objective multidimensional sleep behavior evaluation report according to the first subjective sleep evaluation index set, the first subjective sleep evaluation index set and the sleep comprehensive evaluation grade.
27. The method of claim 23, wherein the behavior management reporting module further comprises the following functional units:
the circulation collection recording unit is used for repeating the above steps and continuously observing and recording the daily sleeping behaviors of the user;
the behavior report generation unit is used for generating the user sleep behavior management report according to the subjective and objective multidimensional sleep behavior evaluation report;
and the behavior report management unit is used for visual display and format output of the sleep behavior management report of the user.
28. The method according to any of claims 23-27, wherein the data unification management module further comprises the following functional units:
the user information management unit is used for inputting, editing and maintaining and managing the user information;
the data operation management unit is used for storing, backing up, migrating, deleting and maintaining and managing the data;
and the data visualization unit is used for visual display management of the data.
29. The subjective and objective multidimensional sleep behavior evaluation and quantification device is characterized by comprising the following modules:
the objective index acquisition module is used for acquiring an objective evaluation report or record of the sleeping behaviors of the user, obtaining a first objective sleeping evaluation index set and determining sleeping key objective evaluation indexes;
the subjective index acquisition module is used for acquiring subjective evaluation reports or records of the sleeping behaviors of the user, obtaining a first subjective sleeping evaluation index set and determining sleeping key subjective evaluation indexes;
the multi-dimensional sleep evaluation module is used for comparing the first objective sleep evaluation index set with the first subjective sleep evaluation index set, calculating a subjective and objective evaluation consistency coefficient and a sleep comprehensive evaluation grade, and generating a subjective and objective multi-dimensional sleep behavior evaluation report;
the behavior management report module is used for repeating the above steps, continuously observing and recording the daily sleeping behaviors of the user, and generating a sleeping behavior management report of the user according to the subjective and objective multidimensional sleeping behavior evaluation report;
the data operation management module is used for storing and managing the operation of all data of the device;
the data visualization module is used for the visual display management of all data of the device;
The extraction method of the subjective and objective evaluation consistency coefficient comprises the following steps:
1) Identifying and acquiring the sleep key objective evaluation index and the sleep key subjective evaluation index;
2) The index direction attribute of the sleep key objective evaluation index and the sleep key subjective evaluation index is uniformly adjusted to be a forward index through absolute value operation, namely, the better the sleep behavior is, the larger the evaluation index value is, and the sleep key objective evaluation index and the sleep key subjective evaluation index are updated;
3) Calculating the sign of the difference between the numerical sum of the sleep key objective evaluation indexes and the numerical sum of the sleep key subjective evaluation indexes to obtain a subjective and objective evaluation deviation sign coefficient, namely 1 or-1;
4) Cross calculating the index difference value of each index in the sleep key objective evaluation indexes and each index in the sleep key subjective evaluation indexes, and carrying out square calculation to obtain a subjective and objective evaluation deviation value set;
5) Weighting according to preset deviation indexes, carrying out weighted summation on all indexes in the subjective and objective evaluation deviation value set, and solving an average value to obtain a subjective and objective evaluation deviation factor;
6) And correcting the subjective and objective evaluation deviation factor by using the subjective and objective evaluation deviation sign coefficient to obtain the subjective and objective evaluation consistency coefficient.
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