Modularized polysomal sleep monitoring device and method

By splitting the polysomnography monitor into a modular design and adopting wireless transmission, the discomfort and constraint problems caused by traditional polysomnography monitors are solved, and convenient and comfortable sleep monitoring and personalized therapeutic support are achieved.

CN120477723APending Publication Date: 2025-08-15HANGZHOU QINGXUN TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510969750.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-15
Publication Date
2025-08-15

AI Technical Summary

Technical Problem

The existing polysomnography monitor requires the use of multiple sensors and instruments, which causes the patient's skin to feel itchy and pain, and the constraints of the leads limit sleep activities.

Method used

The polysomnography monitoring equipment is divided into forehead module, mandibular module, chest and abdominal module, leg module and wrist module. The wireless communication module is used for data transmission. Each module is set independently to reduce the use of cables.

Benefits of technology

Reduces the cable's constraints on the wearer, improves mobility flexibility and comfort, while providing comprehensive physiological monitoring to support personalized treatment options.

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Abstract

The invention belongs to the technical field of medical equipment, and particularly discloses a modularized polysomnosis monitoring device and method.The modularized polysomnosis monitoring device comprises a forehead module, a lower jaw module, a thoracico-abdominal module, a leg module and a wrist module which are connected with a server and are independently arranged, and a data transfer module is integrated in the wrist module; wireless communication modules are arranged on the forehead module, the lower jaw module, the thoracoabdominal module, the leg module, the wrist module and the data transfer module; the equipment is divided into a forehead module, a lower jaw module, a thoracico-abdominal module, a wrist module and a leg module which are independent parts, the equipment is more convenient to wear due to the design, the equipment is convenient to maintain and upgrade, more importantly, all the modules do not need to be connected through cables, data transmission is carried out in a wireless mode, and the data transmission efficiency is improved. This greatly reduces the constraint of the cable to the wearer, improves the flexibility of activity, and reduces the interference of the device to sleep.
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Description

Technical Field

[0001] The present invention belongs to the technical field of medical equipment, and in particular relates to a modular polysomnography device and method. Background Art

[0002] A polysomnogram is a medical device used to monitor and analyze sleep-related physiological parameters, and plays an important role in the field of sleep medicine. A polysomnogram mainly collects and records a variety of physiological signals during sleep by sticking multiple electrodes and sensors on the surface of the human body. These physiological signals include electroencephalogram (EEG), electrooculogram (EOG), electromyogram (EMG), electrocardiogram (ECG), respiratory airflow, respiratory movement, blood oxygen saturation, etc. Through comprehensive analysis of these physiological signals, doctors can accurately judge the sleep stage, sleep quality, whether there are sleep breathing disorders and other problems.

[0003] Current polysomnography monitors are usually composed of electrodes and sensors, signal amplifiers and data acquisition systems. Electrodes and sensors are the front-end acquisition devices of polysomnography monitors. Electrodes are used to collect bioelectric signals such as EEG, EOG, EMG, and ECG, while sensors are used to monitor physiological parameters such as respiratory airflow, respiratory movement, and blood oxygen saturation. Since the physiological signals collected from the human body are very weak, they need to be amplified to a processable level through a signal amplifier for subsequent analysis and processing. The data acquisition system is responsible for converting the amplified physiological signals into digital signals and recording and storing them in real time.

[0004] However, since polysomnography requires the use of multiple sensors and instruments, multiple electrodes and sensors need to be attached to the patient's body and connected to numerous lead wires, which may cause discomfort such as itching and pain on the skin. The restraint of the lead wires may also restrict movements such as turning over during sleep. Therefore, we need to propose a modular polysomnography device and method to solve the above-mentioned problems, so that it can split the polysomnography equipment into multiple modules, transmit data wirelessly, and minimize the use of cables. Summary of the Invention

[0005] The object of the present invention is to provide a modular polysomnography device and method, which can split the polysomnography equipment into multiple modules, transmit data wirelessly, and minimize the use of cables to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] A modular polysomnographic monitoring device includes a forehead module, a mandibular module, a chest and abdomen module, a leg module, and a wrist module, which are connected to a server and are independently arranged. The forehead module is capable of performing EEG monitoring, electrooculography monitoring, artifact detection, and impedance detection; the mandibular module is capable of performing mandibular electromyography monitoring, swallowing movement detection, and respiratory-related electromyography analysis; the chest and abdomen module is capable of performing electrocardiography monitoring, oral and nasal respiratory airflow monitoring, chest / abdomen respiratory effort monitoring, body position monitoring, snoring detection, and ambient light monitoring; and the leg module is capable of performing tibialis anterior and gastrocnemius electromyography monitoring, periodic limb movement detection, leg cramp event identification, movement amplitude quantification analysis, and correlation analysis with respiratory events.

[0008] The wrist module is integrated with a data transfer module, and the forehead module, mandibular module, chest and abdomen module, leg module, wrist module and data transfer module are all provided with wireless communication modules. The data transfer module is respectively connected to the forehead module, mandibular module, chest and abdomen module and leg module in a short-range wireless manner. The data transfer module aggregates and stores the data of the forehead module, mandibular module, chest and abdomen module, leg module and wrist module, and at the same time communicates with the server through a long-distance wireless communication chip to transmit data and various instructions; the wrist module can perform blood oxygen saturation monitoring, pulse rate measurement, perfusion index monitoring and fingertip blood flow volume wave analysis.

[0009] Preferably, the wireless communication module includes a Bluetooth SOC chip, and the Bluetooth SOC chips on the forehead module, mandibular module, chest and abdomen module, leg module and data transfer module are all wirelessly connected over a short distance to an LED indicator unit for displaying the working status and a switch unit for starting and stopping the module.

[0010] Preferably, the forehead module, mandibular module, chest and abdomen module, leg module and data transfer module are all provided with a power management unit, and each of the power management units is wirelessly connected to the Bluetooth SOC chip where the power management unit is located in a short distance.

[0011] Preferably, the forehead module, the mandibular module, the chest and abdomen module, and the leg module all include acceleration sensors, and each of the acceleration sensors is respectively connected to the Bluetooth SOC chip of the module where the acceleration sensor is located in a short-range wireless manner.

[0012] Preferably, the forehead module further includes an EEG simulation front end for lead wire connection, and the EEG simulation front end is connected to the Bluetooth SOC chip on the forehead module.

[0013] Preferably, the mandibular module and the leg module each further include an electromyographic simulation front end for lead wire connection, and the electromyographic simulation front end is connected to a Bluetooth SOC chip.

[0014] Preferably, the chest and abdomen module also includes a temperature sensor, a microphone, an ambient light sensor, a pressure sensor connected to the Bluetooth SOC chip, and a respiratory impedance simulation front end and an electrocardiogram simulation front end for lead wire connection.

[0015] Preferably, the data transfer module further includes a display screen and a memory card, and both the display screen and the memory card are connected to the Bluetooth SOC chip on the data transfer module.

[0016] Preferably, the wrist module also includes a blood oxygen pulse rate sensor and a real-time clock, and the blood oxygen pulse rate sensor and the real-time clock are both connected to the Bluetooth SOC chip on the wrist module, and the Bluetooth SOC chip on the wrist module is connected to the long-distance wireless communication chip on the data transfer module.

[0017] Based on the modular polysomnography device described above, the present invention further provides a modular polysomnography method, comprising the following steps:

[0018] S1. Wear the forehead module, mandibular module, chest and abdomen module, leg module, and wrist module on the corresponding parts of the patient, ensuring that each module has good contact with the human body;

[0019] S2. Each module establishes a connection with the server through the wireless communication module. At the same time, each module performs self-test and initialization to ensure the normal operation of the equipment;

[0020] S3, collects physiological characteristics of different parts of the human body through the forehead module, jaw module, chest and abdomen module, leg module and wrist module;

[0021] Specifically: the forehead module collects EEG signals and eye movement signals, performs artifact detection and impedance detection, and transmits these data to the data transfer module in real time through the wireless communication module;

[0022] The mandibular module collects mandibular electromyographic signals, detects swallowing movements, performs respiration-related electromyographic analysis, and then transmits the data to the data transfer module.

[0023] The chest and abdomen module synchronously collects ECG signals, respiratory signals, respiratory effort information, body position information, snoring signals, and ambient light data, and transmits them to the data transfer module via the wireless communication module.

[0024] The leg module collects electromyographic signals from the tibialis anterior and gastrocnemius muscles, detects periodic limb movements, identifies leg cramps, performs quantitative analysis of movement amplitude and correlation analysis with respiratory events, and transmits the analyzed data to the data transfer module.

[0025] The wrist module measures blood oxygen saturation and pulse rate, monitors perfusion index, and performs fingertip blood flow volume wave analysis. The data is first transmitted to the data transfer module;

[0026] S4, the data transfer module aggregates and stores the data from the forehead module, mandibular module, chest and abdomen module, leg module, and wrist module, and performs preliminary processing and integration on the data, and then transmits the aggregated and processed data to the server via the wireless communication module;

[0027] S5. The server receives the data from each module organized by the data transfer module, and uses the sleep analysis software to conduct a comprehensive analysis of the polysomnography data. The comprehensive analysis includes the division of sleep stages, identification of sleep breathing events, and analysis of the relationship between limb movement and sleep. A sleep monitoring report is generated based on the analysis results.

[0028] The modular polysomnography device and method proposed in the present invention have the following advantages over the prior art:

[0029] 1. The polysomnography monitor of the present invention adopts a highly modular design, which divides the device into multiple independent parts: forehead module, mandibular module, chest and abdomen module, wrist module and leg module. This design not only makes the device more convenient to wear, but also facilitates the maintenance and upgrade of the device. More importantly, there is no need for cables to connect the modules. Instead, data is transmitted wirelessly, which greatly reduces the constraints of cables on the wearer, improves the flexibility of activities, and reduces the interference of the device on sleep.

[0030] 2. The modular design and wireless transmission mode of the polysomnography monitor of the present invention make the device more convenient and comfortable during use. The wearer can selectively wear different modules as needed to reduce interference with sleep. At the same time, the wireless transmission mode also avoids the restraint and interference of cables, thereby improving the wearer's flexibility and comfort.

[0031] 3. The forehead module, mandibular module, chest and abdomen module, wrist module and leg module of the present invention are respectively responsible for monitoring different physiological indicators, such as EEG, electrooculogram, mandibular electromyography, electrocardiogram, oral and nasal airflow, respiratory effort, blood oxygen, pulse rate, leg electromyography, etc. This comprehensive monitoring not only helps doctors understand the patient's sleep condition more accurately, but also provides strong support for formulating personalized treatment plans. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 is a system block diagram of the present invention;

[0033] Figure 2 This is a structural block diagram of the forehead module of the present invention;

[0034] Figure 3 This is a structural block diagram of the mandibular module and leg module of the present invention;

[0035] Figure 4This is a structural block diagram of the chest and abdomen module of the present invention;

[0036] Figure 5 This is a structural block diagram of the wrist module and data transfer module of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. The specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0038] The present invention provides Figure 1-5 The modular polysomnographic monitoring device shown includes a forehead module, a mandibular module, a chest and abdomen module, a leg module and a wrist module that are connected to a server and are independently arranged. The wrist module is integrated with a data transfer module, and the forehead module, mandibular module, chest and abdomen module, leg module, wrist module and data transfer module are all provided with wireless communication modules. The data transfer modules are respectively connected to the forehead module, mandibular module, chest and abdomen module and leg module in a short-range wireless manner. The data transfer module summarizes and stores the data of the forehead module, mandibular module, chest and abdomen module, leg module and wrist module, and at the same time communicates with the server through a long-distance wireless communication chip to transmit data and various instructions; the polysomnographic monitor is divided into several independent parts such as the forehead module, mandibular module, chest and abdomen module, wrist module and leg module. The modules do not need to be connected by cables, and wireless data transmission is adopted. For the wearer, the constraints of cables are greatly reduced, the flexibility of activities is improved, and the interference of the equipment on sleep is reduced.

[0039] The wireless communication module includes a Bluetooth SOC chip. The Bluetooth SOC chips on the forehead module, mandibular module, chest and abdomen module, leg module and data transfer module are all wirelessly connected to an LED indicator unit for displaying the working status and a switch unit for starting and stopping the module.

[0040] The forehead module, mandibular module, chest and abdomen module, leg module and data transfer module are all provided with a power management unit. Each of the power management units is connected to the Bluetooth SOC chip where the power management unit is located in a short-range wireless manner. The power management unit is configured as a lithium battery. Each module has a built-in lithium battery for power supply. A lead wire connection interface is provided on the outside. One end of the lead wire can be plugged into the interface, and the other end can be connected to the corresponding measurement position of the human body.

[0041] The forehead module, the mandibular module, the chest and abdomen module, and the leg module all include acceleration sensors, and each acceleration sensor is respectively connected to the Bluetooth SOC chip of the module where the acceleration sensor is located in a short-range wireless manner.

[0042] The forehead module is capable of performing EEG monitoring, electrooculography monitoring, artifact detection, and impedance detection. The forehead module also includes an EEG simulation front end for lead wire connection, which is connected to the Bluetooth SOC chip on the forehead module. Electroencephalography (EEG) collects α / β / θ / δ wave frequency band signals for sleep stage analysis; electrooculography (EOG) detects the direction and frequency of eye movements through differential electrodes; artifact detection is used to automatically identify interference signals such as blinking and muscle tremors; and impedance monitoring detects electrode contact impedance in real time to ensure signal quality.

[0043] The mandibular module is capable of performing mandibular electromyography monitoring, swallowing movement detection, and respiratory-related electromyography analysis; the leg module is capable of performing tibialis anterior and gastrocnemius electromyography monitoring, periodic limb movement detection, leg spasm event identification, movement amplitude quantification analysis, and correlation analysis with respiratory events; the mandibular module and the leg module both also include an electromyography simulation front end for lead wire connection, which is connected to a Bluetooth SOC chip, and mandibular electromyography (EMG) is used to quantify the intensity of masticatory muscle activity; swallowing movement detection is to identify swallowing events during sleep; and respiratory-related electromyography analysis is used to assist in determining the type of apnea.

[0044] The chest and abdomen module can perform electrocardiogram (ECG) monitoring, oral and nasal respiratory airflow monitoring, chest / abdominal respiratory effort monitoring, body position monitoring, snoring detection, and ambient light monitoring. The chest and abdomen module also includes a temperature sensor, a microphone, an ambient light sensor, a pressure sensor, and a respiratory impedance analog front end and an ECG analog front end connected to the Bluetooth SOC chip. Electrocardiogram (ECG) monitoring is used for heart rate variability (HRV) analysis. Oral and nasal respiratory airflow monitoring is for qualitative detection of oral and nasal airflow, respiratory rate calculation, and tidal volume estimation. Chest / abdominal respiratory effort monitoring is used for quantification of chest / abdominal respiratory movement amplitude and respiratory phase synchronization analysis. Body position monitoring is used for posture resolution and turning over event counting. Snoring detection is used for sound intensity classification and frequency component analysis. Ambient light monitoring is used for real-time recording of light intensity and sleep cycle light cycle analysis.

[0045] The data transfer module further includes a display screen and a memory card, and both the display screen and the memory card are connected to the Bluetooth SOC chip on the data transfer module.

[0046] The wrist module is capable of monitoring blood oxygen saturation, pulse rate, perfusion index, and fingertip blood flow volume wave analysis; the wrist module also includes a blood oxygen pulse rate sensor and a real-time clock, both of which are connected to the Bluetooth SOC chip on the wrist module, and the Bluetooth SOC chip on the wrist module is connected to the long-distance wireless communication chip on the data transfer module;

[0047] The device is divided into multiple independent parts: forehead module, jaw module, chest and abdomen module, wrist module, and leg module. This design not only makes the device more convenient to wear, but also facilitates maintenance and upgrades. More importantly, there is no need for cables to connect the modules. Instead, data is transmitted wirelessly, which greatly reduces the constraints of cables on the wearer, improves flexibility, and reduces interference with sleep.

[0048] The forehead module, jaw module, chest and abdomen module, wrist module, and leg module are responsible for monitoring different physiological indicators, such as EEG, electrooculogram, jaw electromyography, ECG, oral and nasal airflow, respiratory effort, blood oxygen, pulse rate, leg electromyography, etc. This comprehensive monitoring not only helps doctors understand the patient's sleep condition more accurately, but also provides strong support for formulating personalized treatment plans.

[0049] Based on the modular polysomnography device described above, the present invention further provides a modular polysomnography method, comprising the following steps:

[0050] S1. Wear the forehead module, mandibular module, chest and abdomen module, leg module, and wrist module on the corresponding parts of the patient, ensuring that each module has good contact with the human body;

[0051] S2. Each module establishes a connection with the server through the wireless communication module. At the same time, each module performs self-test and initialization to ensure the normal operation of the equipment;

[0052] S3, collects physiological characteristics of different parts of the human body through the forehead module, jaw module, chest and abdomen module, leg module and wrist module;

[0053] Specifically: the forehead module collects EEG signals and eye movement signals, performs artifact detection and impedance detection, and transmits these data to the data transfer module in real time through the wireless communication module;

[0054] The mandibular module collects mandibular electromyographic signals, detects swallowing movements, performs respiration-related electromyographic analysis, and then transmits the data to the data transfer module.

[0055] The chest and abdomen module synchronously collects ECG signals, oral and nasal respiratory airflow signals, chest / abdominal respiratory effort information, body position information, snoring signals, and ambient light data, and transmits them to the data transfer module via the wireless communication module.

[0056] The leg module collects electromyographic signals from the tibialis anterior and gastrocnemius muscles, detects periodic limb movements, identifies leg cramps, performs quantitative analysis of movement amplitude and correlation analysis with respiratory events, and transmits the analyzed data to the data transfer module.

[0057] The wrist module measures blood oxygen saturation and pulse rate, monitors perfusion index, and performs fingertip blood flow volume wave analysis. The data is first transmitted to the data transfer module;

[0058] S4, the data transfer module aggregates and stores the data from the forehead module, mandibular module, chest and abdomen module, leg module, and wrist module, and performs preliminary processing and integration on the data, and then transmits the aggregated and processed data to the server via the wireless communication module;

[0059] S5. The server receives the data from each module organized by the data transfer module, and uses the sleep analysis software to conduct a comprehensive analysis of the polysomnography data. The comprehensive analysis includes the division of sleep stages, identification of sleep breathing events, and analysis of the relationship between limb movement and sleep. A sleep monitoring report is generated based on the analysis results.

[0060] Through multiple independent modules, physiological signals of different parts and types are collected respectively, covering multiple aspects of information such as EEG, electrooculogram, electromyography, electrocardiogram, respiration, and blood oxygen. It can comprehensively and meticulously reflect the patient's physiological state during sleep, improve the accuracy and completeness of the monitoring data, and provide a rich and reliable data basis for subsequent analysis and diagnosis. Each module is independently set and modular, and can be flexibly combined and adjusted according to needs when worn, which is convenient for patients to wear. At the same time, it also reduces the overall complexity and weight of the equipment and improves the comfort of patients. The modular design also facilitates maintenance and upgrades of the equipment. Each module can be inspected, repaired or replaced individually.

[0061] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A modular polysomnographic monitoring device, characterized in that: The system comprises a forehead module, a mandibular module, a chest and abdomen module, a leg module and a wrist module which are connected to the server and are independently arranged. The forehead module is capable of performing EEG monitoring, electrooculography monitoring, artifact detection and impedance detection; the mandibular module is capable of performing mandibular electromyography monitoring, swallowing movement detection and respiratory-related electromyography analysis; the chest and abdomen module is capable of performing electrocardiogram monitoring, oral and nasal respiratory airflow monitoring, chest / abdomen respiratory effort monitoring, body position monitoring, snoring detection and ambient light monitoring; the leg module is capable of performing tibialis anterior and gastrocnemius electromyography monitoring, periodic limb movement detection, leg cramp event identification, movement amplitude quantification analysis and correlation analysis with respiratory events; The wrist module is integrated with a data transfer module, and the forehead module, mandibular module, chest and abdomen module, leg module, wrist module and data transfer module are all provided with wireless communication modules. The data transfer module is respectively connected to the forehead module, mandibular module, chest and abdomen module and leg module in a short-range wireless manner. The data transfer module aggregates and stores the data of the forehead module, mandibular module, chest and abdomen module, leg module and wrist module, and at the same time communicates with the server through a long-distance wireless communication chip to transmit data and various instructions; the wrist module can perform blood oxygen saturation monitoring, pulse rate measurement, perfusion index monitoring and fingertip blood flow volume wave analysis.

2. The modular polysomnography device according to claim 1, characterized in that: The wireless communication module includes a Bluetooth SOC chip. The Bluetooth SOC chips on the forehead module, mandibular module, chest and abdomen module, leg module and data transfer module are all wirelessly connected to an LED indicator unit for displaying the working status and a switch unit for starting and stopping the module.

3. The modular polysomnography device according to claim 2, characterized in that: The forehead module, the mandibular module, the chest and abdomen module, the leg module and the data transfer module are all provided with a power management unit, and each of the power management units is connected to the Bluetooth SOC chip where the power management unit is located in a short-range wireless manner.

4. The modular polysomnography device according to claim 3, characterized in that: The forehead module, the mandibular module, the chest and abdomen module, and the leg module all include acceleration sensors, and each acceleration sensor is respectively connected to the Bluetooth SOC chip of the module where the acceleration sensor is located in a short-range wireless manner.

5. The modular polysomnography device according to claim 4, characterized in that: The forehead module also includes an EEG simulation front end for lead wire connection, and the EEG simulation front end is connected to the Bluetooth SOC chip on the forehead module.

6. The modular polysomnography device according to claim 5, characterized in that: The mandibular module and the leg module also include an electromyographic simulation front end for lead wire connection, and the electromyographic simulation front end is connected to the Bluetooth SOC chip.

7. The modular polysomnography device according to claim 6, characterized in that: The chest and abdomen module also includes a temperature sensor connected to the Bluetooth SOC chip, a microphone, an ambient light sensor, a pressure sensor, and a respiratory impedance simulation front end and an electrocardiogram simulation front end for lead wire connection.

8. The modular polysomnography device according to claim 7, characterized in that: The data transfer module further includes a display screen and a memory card, and both the display screen and the memory card are connected to the Bluetooth SOC chip on the data transfer module.

9. The modular polysomnography device according to claim 8, characterized in that: The wrist module also includes a blood oxygen pulse rate sensor and a real-time clock. The blood oxygen pulse rate sensor and the real-time clock are both connected to the Bluetooth SOC chip on the wrist module, and the Bluetooth SOC chip on the wrist module is connected to the long-distance wireless communication chip on the data transfer module.

10. A modular polysomnography method, based on the modular polysomnography device according to any one of claims 1 to 9, characterized in that: The steps include: S1. Wear the forehead module, mandibular module, chest and abdomen module, leg module, and wrist module on the corresponding parts of the patient, ensuring that each module has good contact with the human body; S2. Each module establishes a connection with the server through the wireless communication module. At the same time, each module performs self-test and initialization to ensure the normal operation of the equipment; S3, collects physiological characteristics of different parts of the human body through the forehead module, jaw module, chest and abdomen module, leg module and wrist module; Specifically: the forehead module collects EEG signals and eye movement signals, performs artifact detection and impedance detection, and transmits these data to the data transfer module in real time through the wireless communication module; The mandibular module collects mandibular electromyographic signals, detects swallowing movements, performs respiration-related electromyographic analysis, and then transmits the data to the data transfer module. The chest and abdomen module synchronously collects ECG signals, respiratory signals, respiratory effort information, body position information, snoring signals, and ambient light data, and transmits them to the data transfer module via the wireless communication module. The leg module collects electromyographic signals from the tibialis anterior and gastrocnemius muscles, detects periodic limb movements, identifies leg cramps, performs quantitative analysis of movement amplitude and correlation analysis with respiratory events, and transmits the analyzed data to the data transfer module. The wrist module measures blood oxygen saturation and pulse rate, monitors perfusion index, and performs fingertip blood flow volume wave analysis. The data is first transmitted to the data transfer module; S4, the data transfer module aggregates and stores the data from the forehead module, mandibular module, chest and abdomen module, leg module, and wrist module, and performs preliminary processing and integration on the data, and then transmits the aggregated and processed data to the server via the wireless communication module; S5. The server receives the data from each module organized by the data transfer module, and uses the sleep analysis software to conduct a comprehensive analysis of the polysomnography data. The comprehensive analysis includes the division of sleep stages, identification of sleep breathing events, and analysis of the relationship between limb movement and sleep. A sleep monitoring report is generated based on the analysis results.

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