CN113925460A - Wearable sleep monitoring health management instrument - Google Patents
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- CN113925460A CN113925460A CN202111168938.0A CN202111168938A CN113925460A CN 113925460 A CN113925460 A CN 113925460A CN 202111168938 A CN202111168938 A CN 202111168938A CN 113925460 A CN113925460 A CN 113925460A
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- 230000036541 health Effects 0.000 title claims abstract description 23
- 238000012544 monitoring process Methods 0.000 title claims abstract description 16
- 238000007726 management method Methods 0.000 claims abstract description 32
- 238000012545 processing Methods 0.000 claims abstract description 22
- 230000003993 interaction Effects 0.000 claims abstract description 17
- 238000011156 evaluation Methods 0.000 claims abstract description 16
- 230000001144 postural effect Effects 0.000 claims abstract description 10
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims abstract description 8
- 238000013500 data storage Methods 0.000 claims abstract description 8
- 229910052744 lithium Inorganic materials 0.000 claims abstract description 8
- 230000029058 respiratory gaseous exchange Effects 0.000 claims abstract description 6
- 201000002859 sleep apnea Diseases 0.000 claims abstract description 6
- 208000001797 obstructive sleep apnea Diseases 0.000 claims description 23
- 206010041235 Snoring Diseases 0.000 claims description 17
- 230000001133 acceleration Effects 0.000 claims description 9
- 238000013528 artificial neural network Methods 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 8
- 230000003860 sleep quality Effects 0.000 claims description 7
- 238000013210 evaluation model Methods 0.000 claims description 5
- 208000019116 sleep disease Diseases 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 claims description 2
- 230000002776 aggregation Effects 0.000 claims description 2
- 238000004220 aggregation Methods 0.000 claims description 2
- 238000004458 analytical method Methods 0.000 claims description 2
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- 238000003745 diagnosis Methods 0.000 description 5
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- 230000007274 generation of a signal involved in cell-cell signaling Effects 0.000 description 4
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- 238000012216 screening Methods 0.000 description 4
- 206010028980 Neoplasm Diseases 0.000 description 3
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- 208000008784 apnea Diseases 0.000 description 2
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- 230000001419 dependent effect Effects 0.000 description 2
- 230000000241 respiratory effect Effects 0.000 description 2
- 238000002560 therapeutic procedure Methods 0.000 description 2
- 206010021079 Hypopnoea Diseases 0.000 description 1
- 238000011157 data evaluation Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011841 epidemiological investigation Methods 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 230000036737 immune function Effects 0.000 description 1
- 230000036542 oxidative stress Effects 0.000 description 1
- 238000013468 resource allocation Methods 0.000 description 1
- 210000002345 respiratory system Anatomy 0.000 description 1
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- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4818—Sleep apnoea
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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
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- A61B5/4815—Sleep quality
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
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- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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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
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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Abstract
The invention belongs to the technical field of intelligent wearable equipment, and particularly relates to a wearable sleep monitoring health management instrument. The health management instrument is used for monitoring postural apnea syndrome and comprises wearable equipment and a health sleep management system. The wearable device is provided with a data acquisition module, a data storage module, a data output module, a warning reminding module, a lithium battery management module, a man-machine interaction module and a central processing module; the central processing module carries out comprehensive processing on the acquired data through a preset program; the health sleep management system comprises a user service terminal and a hospital AI intelligent data center, is responsible for summarizing and analyzing sleep data, evaluating sleep disordered breathing conditions and providing a targeted medical intervention suggestion. The invention has comfortable wearing and accurate monitoring, realizes effective sleep monitoring and evaluation, can be used as an auxiliary means for treating POSA, and provides data support for evaluating and formulating a more appropriate medical scheme.
Description
Technical Field
The invention belongs to the technical field of intelligent wearable equipment, and particularly relates to a wearable sleep monitoring health management instrument.
Background
Obstructive Sleep Apnea (OSA), known as "snoring" or "snoring", refers to a coarse loud snoring sound caused by turbulence generated during sleep when airflow through the airway is restricted, the airflow passing at high speed through a narrow part of the upper airway vibrating near the soft tissues of the mouth or throat; when the airflow in the respiratory tract is forced to a certain extent, significant respiratory interruption and apnea can occur. Moreover, recent studies have shown that OSA patients have higher cancer incidence, tumor invasiveness and cancer mortality than normal populations due to oxidative stress, sleep disturbance and altered immune function caused by OSA. This disease is very common in both adults and children, affecting about 10% of adults worldwide. Obstructive sleep apnea-hypopnea syndrome (OSAHS) is classified into postural-dependent OSAHS (posa) and non-postural-dependent OSAHS (nposa) according to the frequency and severity of respiratory events in different postural states. The proportion of the POSA patients in the OSAHS population is high, the POSA patients have special clinical characteristics, and the proportion of the POSA in the light and medium OSAHS patients is 65% -87%.
Polysomnography (PSG) is the gold standard for diagnosing OSAHS, but many patients cannot obtain timely diagnosis due to expensive equipment, complicated examination process, hospitalization, poor comfort, influence on sleep of the patients, easy restriction of regional medical conditions and the like. Epidemiological investigations have suggested that the rates of undiagnosed moderate to severe OSAHS male and female patients in the population are as high as 93% and 82%, respectively. Even in the Shanghai region, more than 85% of OSAHS patients are not diagnosed in time. The development of a new OSAHS screening technology which is simple, convenient and comfortable is an important guarantee for improving the diagnosis rate of OSAHS. Therefore, it is necessary to find a simple and fast OSAHS screening and diagnosing method, which can be used for simple screening of the primary health service center, makes medical resource allocation more reasonable, reduces medical cost and improves medical efficiency. The OSAHS can also be diagnosed by early screening, so that a basis is provided for subsequent treatment, and the occurrence of complications is reduced.
The current situation of China is as follows: on one hand, medical resources of hospitals at all levels are unbalanced, PSG equipment and data of different models are incompatible with each other, and obstacles exist in grading diagnosis and treatment; on the other hand, the PSG equipment has large volume and low comfort level, and the diagnosis mode of multi-wire connection influences sleep, so that the diagnosis result is frequently deviated; and the POSA treatment method comprises postural therapy, CPAP, oral appliance, operation and the like, wherein the postural therapy is expected to become the first treatment method of POSA. Therefore, aiming at POSA patients with a high proportion of OSAHS crowds, the invention develops a mini portable sleep disordered breathing monitoring device with comfortable wearing, high compliance and accurate monitoring, which is used as an auxiliary means for treating POSA and provides data support for evaluating and formulating a more appropriate and accurate medical scheme.
Disclosure of Invention
The invention aims to provide a mini portable wearable sleep monitoring health management instrument which is comfortable to wear, high in compliance and accurate in monitoring and is suitable for postural apnea syndrome.
The invention provides a wearable sleep monitoring health management instrument for postural apnea syndrome, which comprises wearable equipment and a health sleep management system based on the wearable equipment, wherein the wearable equipment is internally provided with:
the data acquisition module is used for acquiring human body sleep data closely related to the body position correlation OSAHS, and comprises snore data and body position data;
the data storage module is used for storing the sleep state data obtained by the data acquisition module;
a data output module for outputting the sleep data to an external device;
the warning reminding module is used for triggering the vibrator to generate vibration intervention through an instruction to remind a user to return to a correct position when the system monitors abnormal snore information;
the lithium battery management module provides working power for the product through charge and discharge management;
the human-computer interaction module is responsible for guiding a user to switch the equipment to different working states;
the central processing module is used for comprehensively processing the acquired data through a preset program; the central processing module is electrically connected with the modules.
The health sleep management system comprises a medical service terminal and a hospital AI intelligent data center; the system is responsible for the aggregation and analysis of sleep data, the assessment of sleep disordered breathing conditions, and the provision of targeted medical intervention recommendations.
The data acquisition module comprises an acceleration sensor and a sound sensor; the human body sleep data closely related to the body position correlation OSAHS comprise body position data and snore data, and the acceleration sensor is responsible for recording the body position data in a sleep state, including supine position, lateral position and prone position; the sound sensor is responsible for recording snore data in a sleeping state.
The human-computer interaction module comprises a human-computer interaction indicator light and a human-computer interaction input key and is responsible for guiding a user to switch to different states including a standby state, a sleep recording state and a Bluetooth communication state.
The medical service terminal comprises: a user mobile phone APP terminal, a user PC equipment WEB terminal and a doctor personal terminal; wherein:
the user mobile phone APP terminal has a personal data service function, and comprises storage and check of personal historical data, inquiry of sleep evaluation results and reception of medical information sent by a doctor personal terminal;
the user PC equipment WEB terminal has a personal data service function and a consultation service function, wherein the personal data service comprises storage and viewing of personal historical data, inquiry of sleep evaluation results and receiving of medical information sent by a doctor personal terminal, and the consultation service comprises medical answers and suggestions of various problems related to sleep;
the personal terminal of the doctor, its function includes storage and viewing of the historical data, medical signal generating unit sends the receiving of the medical information and offers the sending of the medical information in time for users.
The hospital AI intelligent data center comprises:
the evaluation model storage unit stores pre-trained artificial neural network models with different degrees of sleep disordered breathing, the input of the artificial neural network models comprises body position data and snore data, and the output of the artificial neural network models is sleep quality;
and the model selection evaluation unit comprehensively determines the range of the sleep data and selects a corresponding artificial neural network model for evaluation to obtain the sleep quality according to the collected data, wherein the collected data comprises body position data, snore data and vibration intervention data of the warning prompting module.
And the medical signal generating unit is used for determining whether to generate a medical signal according to the sleep quality obtained by evaluation so as to remind a main doctor to perform medical intervention on the sleep problem of the user in time.
When the Bluetooth wireless communication device is used, a user switches the device to different states including a standby state, a sleep recording state and a Bluetooth wireless communication state according to the guidance of the indicator lamp.
Compared with the prior art, the invention has the following advantages:
(1) the invention is developed aiming at POSA patients with higher proportion in OSAHS population, relevant data acquisition is mainly carried out through a body position sensor (an acceleration sensor) and a sound sensor, sleep quality is comprehensively evaluated according to the acquired data, intervention treatment is carried out on supine positions by matching with a warning reminding module, and the supine position Apnea and Hypopnea Index (AHI) of the patient can be effectively improved;
(2) the system is mini-portable and comfortable to wear, so that the defect that the patient has poor compliance and cannot accurately monitor data is avoided, the POSA evaluation result is more accurate and reliable, and data support is provided for evaluating and formulating a more appropriate and accurate medical scheme;
(3) the medical service terminal is adopted to provide a human-computer interaction medium for doctors and patients, and the system has the functions of data service, medical information feedback and consultation service, wherein the data service comprises the storage and the check of personal historical data of a user and the inquiry of a sleep evaluation result, a doctor provides timely medical information for the patient according to data analysis, and the consultation service comprises the medical answer and suggestion of various problems related to sleep for the user;
(4) the wearable monitoring device is used as a carrier, so that the portability of the wearable monitoring device is improved, and the medical popularization and use are facilitated.
Drawings
Fig. 1 is a schematic structural diagram of a wearable device according to the present invention.
Fig. 2 is a structural block diagram of a wearable device body working module.
Fig. 3 is a block diagram of a wearable device data output module and an intelligent management system.
Fig. 4 is a structural block diagram of the operation of the health sleep management system based on the device.
Reference numbers in the figures: 1 is equipment shell, 2 is the equipment body, 3 is the neck area, 4 is healthy sleep management system, 21 is the data acquisition module, 22 is the data storage module, 23 is data output module, 24 is warning reminding module, 25 is lithium battery management module, 26 is man-machine interaction module, 27 is central processing module, 41 medical service terminal, 42 hospital AI intelligent data center, 211 is acceleration sensor, 212 is sound transducer, 411 is user's cell-phone APP terminal, 412 is user PC equipment WEB terminal, 413 is doctor personal terminal, 421 is evaluation model memory cell, 422 is evaluation unit for the model selection, 423 is medical signal generation unit.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. Note that the following description of the embodiments is merely a substantial example, and the present invention is not intended to be limited to the application or the use thereof, and is not limited to the following embodiments.
Examples
As shown in fig. 1, a wearable sleep monitoring health management instrument suitable for postural apnea syndrome, includes wearable equipment and healthy sleep management system based on equipment, and the wearable equipment body includes equipment shell 1, equipment body 2, neck strap 3 and healthy sleep management system 4, includes in the equipment body 2:
the data acquisition module 21: the system is used for acquiring human sleep data closely related to the body position correlation OSAHS;
the data storage module 22: storing snore and body position information of the sleep record state;
the data output module 23: the module outputs the stored sleep record data to external equipment, including mobile phone or PC equipment, by the communication Bluetooth;
the warning reminding module 24: when the equipment is in a sleep recording state and the data processing module detects that the body position is in a non-lateral lying body position, the data processing module triggers the vibrator to generate vibration intervention through an instruction to prompt a user to return to a correct body position;
lithium battery management module 25: through charge and discharge management, working power is provided for the product;
the human-computer interaction module 26: the module is responsible for guiding the user to switch the device to different states;
the central processing module 27: the module carries out comprehensive processing on the acquired data through a preset program, and the modules are electrically connected with the module;
fig. 1 shows seven modules included in the wearable device body of the present invention in a stacked form: the wearable device comprises a data acquisition module 21, a data storage module 22, a data output module 23, a warning reminding module 24, a lithium battery management module 25, a human-computer interaction module 26 and a central processing module 27, which are only schematic illustrations of the wearable device composition structure and do not represent the specific physical structure thereof.
(1) Data acquisition module 21
As shown in fig. 3, the module is provided with an acceleration sensor 211 and a sound sensor 212, and collects body position data of a user in a sleeping process through the acceleration sensor 211, and collects snore data of the user in the sleeping process through the sound sensor 212; each sensor of the data acquisition module 21 is powered by the lithium battery management module 25;
(2) data storage module 22
The module is responsible for storing snore and body position information of a sleep record state of a user;
(3) data output module 23
The module outputs the stored sleep record data to external equipment, including mobile phone or PC equipment, by the communication Bluetooth;
(4) warning prompt module 24
The module is responsible for processing the warning and reminding functions when the user is in a non-lateral position state, and when the equipment is in a sleep record state and the data processing module detects that the position is in the non-lateral position state, the data processing module triggers the vibrator to generate vibration intervention through an instruction to prompt the user to return to a correct position;
(5) lithium battery management module 25
The module is responsible for providing working power for the product through charge and discharge management;
(6) human-computer interaction module 26
The module comprises a human-computer interaction indicator light and a human-computer interaction input key and is responsible for guiding a user to switch to different states, including a standby state, a sleep recording state and a Bluetooth communication state;
(7) central processing module 27
As shown in fig. 2, the user sets the central processing module 27 through the human-computer interaction module 26 to switch the device to different states; when the device is in a working state, the data storage module 22 is responsible for transmitting the data acquired from the data acquisition module 21 to the central processing module 27, and after the central processing module 27 processes the data, the data are transmitted to the data output module 23 and the warning and reminding module 24 according to data analysis.
As shown in fig. 3, the health sleep management system 4 includes a medical service terminal 41 and a hospital AI intelligent data center 42. The data output module 23 acquires data information from the acceleration sensor 211, the sound sensor 212, and the warning module 24, and then transmits the acquired data to the medical service terminal 41 and the hospital AI intelligent data center 42, respectively.
As shown in fig. 4, the medical service terminal 41 includes a user handset APP terminal 411, a user PC device WEB terminal 412, and a doctor personal terminal 413. The hospital AI intelligent data center 42 includes an evaluation model storage unit 421, a model selection evaluation unit 422, and a medical signal generation unit 423. The model selection and evaluation unit 422 performs data evaluation based on the model stored in advance in the evaluation model storage unit 421, and then transmits the data to the medical service terminal 41 and the medical signal generation unit 423, respectively, and the medical signal generation unit 423 is responsible for determining whether to generate a medical signal for individual prompt to be transmitted to the doctor personal terminal 413.
Claims (6)
1. A wearable sleep monitoring health management instrument is used for monitoring postural apnea syndrome and is characterized by comprising wearable equipment and a health sleep management system based on the wearable equipment; the wearable device includes:
the data acquisition module is used for acquiring human body sleep data closely related to the body position correlation OSAHS, and comprises snore data and body position data;
the data storage module is used for storing the sleep state data obtained by the data acquisition module;
a data output module for outputting the sleep data to an external device;
the warning reminding module is used for triggering the vibrator to generate vibration intervention through an instruction to remind a user to return to a correct position when the system monitors abnormal snore information;
the lithium battery management module provides working power for the product through charge and discharge management;
the human-computer interaction module is responsible for guiding a user to switch the equipment to different working states;
the central processing module is used for comprehensively processing the acquired data through a preset program; the central processing module is electrically connected with the modules;
the health sleep management system comprises a medical service terminal and a hospital AI intelligent data center; the system is responsible for the aggregation and analysis of sleep data, the assessment of sleep disordered breathing conditions, and the provision of targeted medical intervention recommendations.
2. The wearable sleep monitoring health manager of claim 1, wherein the data acquisition module comprises an acceleration sensor, a sound sensor; the acceleration sensor is responsible for recording body position data in a sleeping state, including supine, lateral and prone positions; the sound sensor is responsible for recording snore data in a sleeping state.
3. The wearable sleep monitoring health manager of claim 1, wherein the human-computer interaction module comprises a human-computer interaction indicator light and a human-computer interaction input key for guiding the user to switch to different states, including a standby state, a sleep recording state, and a bluetooth communication state.
4. The wearable sleep monitor health manager of claim 1, wherein the medical services terminal comprises: a user mobile phone APP terminal, a user PC equipment WEB terminal and a doctor personal terminal; wherein:
the user mobile phone APP terminal has a personal data service function, and comprises storage and check of personal historical data, inquiry of sleep evaluation results and reception of medical information sent by a doctor personal terminal;
the user PC equipment WEB terminal has a personal data service function and a consultation service function, wherein the personal data service comprises storage and viewing of personal historical data, inquiry of sleep evaluation results and receiving of medical information sent by a doctor personal terminal, and the consultation service comprises medical answers and suggestions of various problems related to sleep;
the personal terminal of the doctor, its function includes storage and viewing of the historical data, medical signal generating unit sends the receiving of the medical information and offers the sending of the medical information in time for users.
5. The wearable sleep monitor health manager of claim 1, wherein the hospital AI intelligent data center comprises:
the evaluation model storage unit stores pre-trained artificial neural network models with different degrees of sleep disordered breathing, the input of the artificial neural network models comprises body position data and snore data, and the output of the artificial neural network models is sleep quality;
the model selection and evaluation unit comprehensively determines the range of the sleep data and selects a corresponding artificial neural network model for evaluation to obtain the sleep quality according to the collected data, wherein the collected data comprises body position data, snore data and vibration intervention data of the warning and prompting module;
and the medical signal generating unit is used for determining whether to generate a medical signal according to the sleep quality obtained by evaluation so as to remind a main doctor to perform medical intervention on the sleep problem of the user in time.
6. The wearable sleep monitor health manager of claim 1, wherein in use, the user switches the device to different states including a standby state, a sleep recording state, and a bluetooth wireless communication state according to the guidance of the indicator light.
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- 2021-10-01 CN CN202111168938.0A patent/CN113925460A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104035370A (en) * | 2014-06-09 | 2014-09-10 | 曹亮明 | Sleep monitoring system and monitoring method |
| CN106021939A (en) * | 2016-05-25 | 2016-10-12 | 江苏省人民医院 | Mobile guarding preliminary-diagnosis system |
| CN109171663A (en) * | 2018-10-31 | 2019-01-11 | 朱昀正 | A kind of sleep monitor bracelet based on skin electricity |
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Application publication date: 20220114 |