Wireless integrated microsystem for intelligently monitoring breathing and sleep states

Abstract

The invention relates to the technical field of artificial intelligence, in particular to a breathing sleep state intelligent monitoring wireless integrated microsystem which comprises a breathing sleep state intelligent monitoring module, a central processing unit module and a monitoring terminal which are connected in sequence. Four physiological signals including chest and abdomen movement signals, blood oxygen data, mouth and nose airflow information and snore characteristics are collected through the intelligent breathing and sleep state monitoring module to replace traditional detection of more than 10 physiological signals, so that diagnosis of the sleep apnea-hypopnea syndrome is lighter; on the premise that PSG monitoring accuracy is guaranteed, lead setting is reduced, and portability is improved; the system is designed for adapting to non-professional personnel, and the operation process is simplified.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to a wireless integrated microsystem for intelligent monitoring of respiratory and sleeping states. Background Art

[0002] OSA is a sleep breathing disorder with sleep snoring accompanied by apnea and daytime sleepiness as the main clinical manifestations. It can lead to multi-organ and multi-system damage such as hypertension, coronary heart disease, arrhythmia, cerebrovascular disease, cognitive dysfunction, type 2 diabetes, etc. Studies have shown that the mortality rate of untreated severe OSA patients is 3.8 times that of the general population. In addition, the probability of stroke in the OSA population is 4.33 times that of the control group, and the mortality rate is 1.98 times that of the control group. It can be seen that OSA can cause damage to multiple systems of the body and is a veritable systemic disease. Age and gender, obesity, family history, upper airway anatomical abnormalities, drinking or use of sedative hypnotic drugs, smoking, and other related diseases (such as cerebrovascular disease, neuromuscular disease, etc.) are the causes and risk factors of OSA. PSG is the gold standard for diagnosing OSA and grading its severity. The monitoring leads mainly include electroencephalogram, electrocardiogram, electromyogram, eye movement, chest and abdominal respiratory tension graph, nasal and oral ventilation, body position and movement, blood oxygen saturation and more than 10 channels of physiological signals. According to the PSG results, not only can the sleep apnea hypopnea syndrome be diagnosed, but also its severity can be judged, which is convenient for formulating clinical treatment plans and quantitatively evaluating the effects of surgery or other treatments. Therefore, PSG should be performed before taking any treatment measures for snoring and sleep apnea hypopnea syndrome.

[0003] Traditional PSG equipment adopts a multi-lead monitoring mode, and has the following problems in application: First, PSG examinations need to be conducted in a special sleep monitoring room and performed by professional sleep technicians; second, the large number of leads connected to the sensor will interfere with the patient's sleep, especially for children or patients with light sleep, whose compliance is poor; third, the equipment is expensive, the appointment time is long, and monitoring of suspected patients requires a lot of medical resources; fourth, the workload is large, and the examination procedures are complicated, time-consuming and labor-intensive.

[0004] To address these issues, there are currently some portable sleep breathing monitoring devices and monitoring accessories, such as remote sleep monitors, wristwatch monitoring systems, portable sleep monitors based on Bluetooth transmission, and electrode fixing pillows, sleep belts, and polysomnography caps for sleep monitoring. Although these devices can achieve remote monitoring, in order to ensure the accuracy of the test data, they still retain a large number of leads, making them less portable. The operation of the equipment involves complex medical expertise and skills, such as the correct placement of electrodes and the setting of equipment parameters, which still requires professional operation. Summary of the invention

[0005] The purpose of the present invention is to provide a wireless integrated microsystem for intelligent monitoring of respiratory sleep status, which reduces the lead settings and improves portability while ensuring the accuracy of PSG monitoring; the system is designed for use by non-professionals and simplifies the operation process.

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

[0007] The wireless integrated microsystem for intelligent monitoring of respiratory sleep state comprises: an intelligent monitoring module for respiratory sleep state, a central processing unit module and a monitoring terminal connected in sequence;

[0008] The respiratory sleep state intelligent monitoring module is used to collect relevant physiological signals reflecting the respiratory sleep state of the human body, and the physiological signals include chest and abdominal movement signals, blood oxygen data, oral and nasal airflow information and snoring characteristics;

[0009] The central processing unit module is composed of a main control chip and a wireless transmission module. The main control chip is provided with an analog-to-digital converter, which is connected to the respiratory sleep state intelligent monitoring module and is used to receive the physiological signal output by the respiratory sleep state intelligent monitoring module and convert it into a digital signal;

[0010] The monitoring terminal receives and outputs the digital signal from the central processing unit.

[0011] Furthermore, the respiratory sleep state intelligent monitoring module mainly includes a chest and abdominal movement monitoring module, a blood oxygen detection module, an oral and nasal airflow detection module and a snoring recording module;

[0012] The thoracoabdominal motion monitoring module includes a measuring unit, a digital motion processing module, and a microprocessor connected in sequence; the measuring unit includes a three-axis MEMS gyroscope and a three-axis MEMS accelerometer, the three-axis MEMS gyroscope is used to collect the three-axis angular velocity value during the thoracoabdominal motion process, and the three-axis MEMS accelerometer is used to collect the three-axis acceleration value during the thoracoabdominal motion process; the digital motion processing module calculates the displacement data of the thoracoabdominal motion according to the three-axis angular velocity value and the three-axis acceleration value; the first microprocessor controls the execution of displacement data processing according to the preset configuration, generates a thoracoabdominal motion signal and sends it;

[0013] The blood oxygen detection module uses a photoelectric detection method to detect the blood oxygen saturation of the human body, including a blood oxygen collection component and a second microprocessor. The blood oxygen collection component is worn at one or more places on the user's fingers, earlobes or wrists, and is used to collect the blood oxygen saturation concentration and pulse data at the place and transmit it to the second microprocessor through a standard IIC interface; the second microprocessor controls the execution of blood oxygen data processing and transmission according to the preset configuration;

[0014] The oral and nasal airflow detection module is used to monitor the breathing state of the patient's oral cavity and nasal cavity during sleep, and includes a carrying platform and two sensor modules. The two sensor modules are respectively located on the front and back sides of the carrying platform and are used to monitor the airflow information near the mouth and nose;

[0015] The snoring recording module includes a miniature microphone, an amplifier circuit, an analog-to-digital conversion circuit and a third microprocessor connected in sequence. The miniature microphone collects sound, the amplifier circuit amplifies the collected sound, the analog-to-digital conversion circuit is used to sample the amplified sound and output the sampled sound signal; the third microprocessor is used to analyze the snoring characteristics according to the sampled sound signal.

[0016] Furthermore, the first microprocessor, the second microprocessor and the third microprocessor are all single-chip microcomputers.

[0017] Furthermore, the wireless integrated microsystem for intelligent monitoring of respiratory sleep status adopts a flexible antibacterial and hydrophobic material as a carrying platform and uses silicone packaging to form a flexible wireless integrated microsystem for intelligent monitoring of respiratory sleep status. While collecting sleep data, it reduces the impact on the subject's sleep quality, while increasing the adhesion to the subject's skin, thereby improving the accuracy of respiratory sleep status monitoring.

[0018] Furthermore, the chest and abdomen movement monitoring module and the blood oxygen detection module need to continuously monitor and collect data from the subject, so reducing the power consumption of the circuit mainly depends on reducing the power consumption of the main control chip and the data transmission chip:

[0019] For the chest and abdomen movement monitoring module, the first microprocessor is configured to be in the STOP mode awakened by the RTC alarm clock when idle to reduce power consumption; the RTC alarm clock is similar to the universal clock, which can make the single-chip microcomputer wake up regularly in the STOP mode to perform data processing and sending operations;

[0020] For the blood oxygen detection module, the second microprocessor is configured as the STOP mode awakened by an external interrupt when idle to reduce power consumption; the data transmission chip sends a stack overflow signal to the microcontroller every time it completes data acquisition. This signal serves as an external interrupt signal to wake up the microcontroller to process data and send it. After data processing and sending are completed, the microcontroller automatically enters the STOP mode.

[0021] Furthermore, the measurement range of the three-axis MEMS gyroscope is ±250, ±500, ±1000, ±2000dps, and the measurement range of the three-axis MEMS accelerometer is ±2, ±4, ±8, ±16g.

[0022] Furthermore, the supporting platform of the oral and nasal airflow detection module is in the shape of a long thin sheet and is applied between the mouth and nose. The length-to-width ratio of the supporting platform is set between 1.1 and 1.5 according to the specific situation of the user; both sensor modules include a temperature sensor, a humidity sensor, and a piezoelectric sensor.

[0023] Furthermore, both sensor modules are any two-by-two combinations of a temperature sensor, a humidity sensor, and a piezoelectric sensor;

[0024] The temperature sensor is based on the fact that the temperature of the exhaled airflow from the mouth and nose is higher than the ambient temperature. The temperature sensor is placed at a position that contacts the exhaled airflow from the mouth and nose. It can detect a sudden change in temperature when the patient exhales, thereby monitoring the temperature change near the mouth and nose to determine the respiratory state. The operating temperature of the temperature sensor is: 5-40°C;

[0025] The humidity sensor is based on the fact that the water content of the exhaled gas from the mouth and nose is higher than that of the air. The humidity sensor is placed in a position that contacts the exhaled gas flow from the mouth and nose. It can detect a sudden change in humidity when the patient exhales, thereby monitoring the respiratory state. The working environment humidity of the humidity sensor is: 30-80%;

[0026] The piezoelectric sensor is made of a piezoelectric film and placed at the position where the airflow passes through the mouth and nose. The airflow causes the piezoelectric film to vibrate. Due to the piezoelectric effect, the electrodes on the piezoelectric film will output electrical signals. The breathing state can be determined by analyzing the signals. The working atmospheric pressure of the piezoelectric sensor is: 70~106kPa.

[0027] Compared with the prior art, the wireless integrated microsystem for intelligent monitoring of respiratory sleep status of the present invention has the following beneficial effects:

[0028] 1. The accuracy of the intelligent monitoring microsystem's measurements will directly affect the system's judgment accuracy. By using flexible packaging technology to encapsulate the microsystem and performing hydrophobic treatment on the packaging material, the wearing comfort and the degree of adhesion to human skin are increased, the impact of the microsystem on the subject's sleep quality is reduced, and the accuracy of the microsystem's measurements is improved;

[0029] 2. The diagnosis of sleep apnea hypopnea syndrome is made easier by monitoring four physiological signals, namely chest and abdominal movement, blood oxygen, oral and nasal airflow and snoring, instead of the traditional detection of more than 10 physiological signals;

[0030] 3. For the raw data collected by the sensor, data preprocessing is usually required to reduce the impact of interference signals on measurement accuracy. For the specific range of human respiratory frequency, the present invention uses a bandpass filter with a hardware design frequency of 10-100Hz in the central processing module to preliminarily filter out clutter signals based on the needs for the data obtained by the chest and abdominal movement monitoring module, the oral and nasal airflow detection module, and the snoring recording module; at the same time, smoothing filtering is performed through software, and peak and trough feature extraction is performed on the processed signal to improve the measurement accuracy of the microsystem;

[0031] 4. The integrated design between the modules of the microsystem minimizes the number of movable long wires, and improves the convenience and comfort of using the microsystem while ensuring the stable operation of the equipment; the monitoring terminal of the microsystem conducts wireless communication via Bluetooth to achieve long-distance wireless monitoring and eliminate the impact of connecting wires on the patient's sleep quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a principle block diagram of a wireless integrated microsystem for intelligent monitoring of breathing and sleeping state in an embodiment;

[0033] Figure 2 is a principle block diagram of a chest and abdomen movement monitoring module of an embodiment;

[0034] Figure 3 is a work flow chart of the chest and abdomen movement monitoring module of the embodiment;

[0035] Figure 4 Schematic diagram of the device of the oral and nasal airflow detection module of the embodiment;

[0036] Figure 5 is a working flow chart of the blood oxygen detection module of the embodiment;

[0037] Figure 6 is a functional block diagram of a snoring recording module of an embodiment;

[0038] Figure 7 This is the "Sleep Respiration Signs Monitoring" APP interface of the embodiment. DETAILED DESCRIPTION

[0039] The principles and features of the present invention are described below in conjunction with embodiments. The examples given are only used to explain the present invention and are not used to limit the scope of the present invention.

[0040] Unless explicitly stated otherwise, throughout the specification and claims, the term “comprise” or variations such as “include” or “comprising”, etc., will be understood to include the stated elements or components but not to exclude other elements or components.

[0041] like Figure 1As shown, a wireless integrated microsystem for intelligent monitoring of respiratory sleep status provided in this embodiment includes an intelligent monitoring module for respiratory sleep status, a central processing unit module and a monitoring terminal; the intelligent monitoring module for respiratory sleep status is used to collect relevant physiological signals reflecting the respiratory sleep status of the human body and transmit them to the central processing unit module; the central processing unit module includes a main control chip and a wireless transmission module, and an analog-to-digital converter is provided in the main control chip, and the analog-to-digital converter receives the relevant signals reflecting the respiratory sleep status of the human body and converts them into digital signals; the monitoring terminal is connected to the analog-to-digital converter in the main control chip via Bluetooth, receives the digital signal and outputs it.

[0042] In this embodiment, a flexible PCB (Printed Circuit Board) with an elastic modulus of 10-200kPa or one of the flexible medical polymer materials is used as a bearing platform; one of perfluorooctyl trichlorosilane, perfluoroquinoline trichlorosilane, perfluorooctyl dimethyl chlorosilane, perfluorooctyl triethoxysilane, perfluorooctanoyl chloride or hexadecyl trichlorosilane is used as a fluorination agent to perform hydrophobic treatment on the bearing platform to reduce the sweat from staying in the application area for a long time, causing sticky discomfort and bacterial growth. Polydimethylsiloxane (PDMS) is used to encapsulate the wireless integrated microsystem for intelligent monitoring of respiratory sleep status, making it a wearable flexible wireless integrated microsystem for intelligent monitoring of sleep status, which can be directly attached to the skin of the subject or fixed to the corresponding detection part of the human body by a strap. Compared with traditional silicon-based wearable devices, the wearable wireless integrated microsystem for intelligent monitoring of sleep status of the present invention has the advantages of strong surface adaptability, human-friendliness, and a wide monitoring range.

[0043] In the normal breathing process, oral and nasal breathing and chest and abdominal movement are carried out simultaneously. However, if there is an abnormality in the upper respiratory tract, the chest and abdomen may move while there is no airflow inhalation or exhalation from the mouth and nose. Therefore, in addition to the blood oxygen detection module, the oral and nasal airflow detection module and the snoring recording module, the intelligent monitoring module for breathing and sleeping state in this embodiment also has a chest and abdominal movement monitoring module. Specifically:

[0044] like Figure 2 As shown, the thoracoabdominal motion monitoring module uses a three-axis MEMS gyroscope and a three-axis MEMS accelerometer to measure thoracoabdominal motion data. The three-axis MEMS gyroscope is used to measure the angular velocity value during thoracoabdominal motion, and the three-axis MEMS acceleration is used to test the velocity value during thoracoabdominal motion. According to the measured angular velocity value and acceleration value, the thoracoabdominal motion displacement data is calculated to achieve real-time monitoring of thoracoabdominal motion. In this embodiment, the measurable range of the three-axis MEMS gyroscope is ±250, ±500, ±1000, ±2000dps, and the measurable range of the three-axis MEMS accelerometer is ±2, ±4, ±8, ±16g. Figure 3This is the workflow diagram of the chest and abdomen movement monitoring module of this embodiment, as shown in Figure 3 As shown: First, the STM32 and MPU6050 chips are initialized, and then the main program is entered. The RTC alarm is started to make the STM32 enter the stop mode, and at the same time, the pitch angle processed by the digital motion processing module (DMP) is collected by interruption; when the RTC alarm ends, the STM32 is started to process the data to obtain the peak value of the chest and abdomen movement angle, and at the same time, it is determined whether the time reaches 30s. If so, the data is transmitted through the communication module. If not, the RTC interrupt continues to collect data.

[0045] During implementation, the single-chip microcomputer in the chest and abdominal movement monitoring module is configured as the STOP mode awakened by the RTC alarm clock when idle to reduce power consumption; the RTC alarm clock is similar to a universal clock, which can enable the single-chip microcomputer to wake up regularly in the STOP mode to perform data processing and sending operations to reduce circuit power consumption.

[0046] The oral and nasal airflow detection module is used to monitor the breathing state of the patient's oral cavity and nasal cavity during sleep. The module includes two sensor modules for monitoring the airflow information near the mouth and nose. Both sensor modules include a temperature sensor, a humidity sensor, a piezoelectric sensor (pressure-voltage signal, pressure-current signal or pressure-resistance signal), etc. The supporting platform (substrate) of the oral and nasal airflow detection module is in the shape of a long thin sheet, and the aspect ratio is set to between 1.1 and 1.5 according to the specific situation of the user.

[0047] like Figure 4 As shown, the two sensor modules are located on the front and back sides of the carrying platform respectively. When in use, the two sensor modules are any combination of temperature sensors, humidity sensors and piezoelectric sensors;

[0048] The temperature sensor is based on the fact that the temperature of the exhaled airflow from the mouth and nose is higher than the ambient temperature. Therefore, the breathing state can be judged by monitoring the temperature changes near the mouth and nose. Therefore, the operating temperature of the temperature sensor is: 5~40℃;

[0049] The humidity sensor is based on the fact that the water content of the exhaled gas from the mouth and nose is higher than that of the air. The humidity sensor is set at a position that can contact the exhaled airflow from the mouth and nose. It can detect the sudden change of humidity when the patient exhales, thereby monitoring the respiratory state. Therefore, the working environment humidity of the humidity sensor is: 30-80%;

[0050] The piezoelectric sensor is made of a piezoelectric film and placed at the location where the airflow passes through the mouth and nose. The airflow causes the piezoelectric film to vibrate. Due to the piezoelectric effect, the electrodes on the piezoelectric film will output electrical signals. The breathing state can be determined by analyzing the signal. Therefore, the working atmospheric pressure of the piezoelectric sensor is: 70~106kPa.

[0051] The blood oxygen detection module uses a photoelectric detection method to detect the blood oxygen saturation of the human body, including a blood oxygen collection component and a single chip. The blood oxygen collection component is worn at one or more places of the user's finger, earlobe or wrist. The working process diagram of the blood oxygen detection module is as follows: Figure 5 As shown in the figure: After initializing the STM32 and MAX30102 chips, the main program is entered. During the operation of MAX30102, data integration is first performed, and then the AC and DC parts are divided. After removing the baseline drift, if the signal correlation is not good, it returns to re-measurement; otherwise, autocorrelation operation is performed to output the measured values ​​of heart rate and blood oxygen. The single-chip microcomputer in the blood oxygen detection module is configured as the STOP mode awakened by external interrupts when idle to reduce power consumption; the data transmission chip sends a stack overflow signal to the single-chip microcomputer every time data is collected. This signal is used as an external interrupt signal to wake up the single-chip microcomputer to process data and send it. After data processing and sending are completed, the single-chip microcomputer automatically enters the STOP mode, thereby reducing circuit power consumption.

[0052] like Figure 6 As shown, the snoring recording module includes a micro-microphone, an amplifier circuit, an analog-to-digital conversion circuit and a single chip connected in sequence. The snoring recording module collects sound through the micro-microphone, amplifies and samples the sound signal through the amplifier circuit and the analog-to-digital conversion circuit, and analyzes the snoring characteristics in the single chip.

[0053] The central processing unit module is connected to the respiratory sleep state intelligent monitoring module through the analog-to-digital converter in the main control chip, and is used to receive the physiological signal output by the respiratory sleep state intelligent monitoring module and convert it into a digital signal. The central processing unit module can directly output the digital signal, or it can filter the received signal as needed and then output it, and send the digital signal to a personal terminal (such as a smart phone, tablet, etc.) through the wireless transmission module. The terminal can display the received data for users to query or browse. The APP interface is as follows: Figure 7 As shown. The wireless transmission module of this embodiment can use Bluetooth, WIFI and other methods for data transmission. The user can view the four physiological signals of chest and abdominal movement, blood oxygen, oral and nasal airflow and snoring captured in real time on the personal terminal, and can send the data to the cloud server. The cloud server can pre-train the deep learning network model according to the needs to monitor and analyze the human respiratory state, and feed back the results to the personal terminal.

[0054] From the above, it can be seen that the wireless integrated microsystem for intelligent monitoring of respiratory sleep status proposed in this embodiment, focusing on the requirements of portability, ease of operation and accuracy in smart medical care, realizes lightweight intelligent monitoring of respiratory sleep status through multi-sensor fusion of four physiological signals of chest and abdominal movement, blood oxygen, oral and nasal airflow and snoring; through low-power design and flexible packaging, the judgment accuracy of the microsystem is improved, and the convenience and comfort of using the microsystem are improved while ensuring stable operation of the equipment; finally, the monitoring terminal of the microsystem realizes long-distance wireless monitoring through wireless communication, eliminating the influence of connecting wires on the patient's sleep quality.

[0055] The foregoing description of specific exemplary embodiments of the present invention is for the purpose of illustration and demonstration. These descriptions are not intended to limit the present invention to the precise form disclosed, and it is clear that many changes and variations can be made based on the above teachings. The purpose of selecting and describing the exemplary embodiments is to explain the specific principles of the present invention and its practical application, so that those skilled in the art can realize and utilize various different exemplary embodiments of the present invention and various different selections and changes. The scope of the present invention is intended to be limited by the claims and their equivalents.

Claims

1. A wireless integrated microsystem for intelligent monitoring of respiratory and sleeping status, characterized in that: include: A breathing and sleeping state intelligent monitoring module, a central processing unit module and a monitoring terminal connected in sequence; The respiratory sleep state intelligent monitoring module is used to collect relevant physiological signals reflecting the respiratory sleep state of the human body, and the physiological signals include chest and abdominal movement signals, blood oxygen data, oral and nasal airflow information and snoring characteristics; The central processing unit module is composed of a main control chip and a wireless transmission module. The main control chip is provided with an analog-to-digital converter, which is connected to the respiratory sleep state intelligent monitoring module and is used to receive the physiological signal output by the respiratory sleep state intelligent monitoring module and convert it into a digital signal; The monitoring terminal receives and outputs the digital signal from the central processing unit.

2. According to claim 1, a wireless integrated microsystem for intelligent monitoring of respiratory and sleeping states is characterized by: The respiratory sleep state intelligent monitoring module mainly includes a chest and abdominal movement monitoring module, a blood oxygen detection module, an oral and nasal airflow detection module and a snoring recording module; The thoracoabdominal motion monitoring module includes a measuring unit, a digital motion processing module, and a microprocessor connected in sequence; the measuring unit includes a three-axis MEMS gyroscope and a three-axis MEMS accelerometer, the three-axis MEMS gyroscope is used to collect the three-axis angular velocity value during the thoracoabdominal motion process, and the three-axis MEMS accelerometer is used to collect the three-axis acceleration value during the thoracoabdominal motion process; the digital motion processing module calculates the displacement data of the thoracoabdominal motion according to the three-axis angular velocity value and the three-axis acceleration value; the first microprocessor controls the execution of displacement data processing according to the preset configuration, generates a thoracoabdominal motion signal and sends it; The blood oxygen detection module uses a photoelectric detection method to detect the blood oxygen saturation of the human body, including a blood oxygen collection component and a second microprocessor. The blood oxygen collection component is worn at one or more places on the user's fingers, earlobes or wrists, and is used to collect the blood oxygen saturation concentration and pulse data at the place and transmit it to the second microprocessor through a standard IIC interface; the second microprocessor controls the execution of blood oxygen data processing and transmission according to the preset configuration; The oral and nasal airflow detection module is used to monitor the breathing state of the patient's oral cavity and nasal cavity during sleep, and includes a carrying platform and two sensor modules. The two sensor modules are respectively located on the front and back sides of the carrying platform and are used to monitor the airflow information near the mouth and nose; The snoring recording module includes a miniature microphone, an amplifier circuit, an analog-to-digital conversion circuit and a third microprocessor connected in sequence. The miniature microphone collects sound, the amplifier circuit amplifies the collected sound, the analog-to-digital conversion circuit is used to sample the amplified sound and output the sampled sound signal; the third microprocessor is used to analyze the snoring characteristics according to the sampled sound signal.

3. The wireless integrated microsystem for intelligent monitoring of respiratory and sleeping states according to claim 2, characterized in that: The first microprocessor, the second microprocessor and the third microprocessor are all single chip microcomputers.

4. The wireless integrated microsystem for intelligent monitoring of respiratory and sleeping states according to claim 1, characterized in that: The wireless integrated microsystem for intelligent monitoring of breathing and sleeping status adopts a flexible antibacterial and hydrophobic material as a bearing platform and uses silica gel packaging to form a flexible wireless integrated microsystem for intelligent monitoring of breathing and sleeping status.

5. The wireless integrated microsystem for intelligent monitoring of respiratory and sleeping states according to claim 2 is characterized by: The chest and abdomen movement monitoring module configures the first microprocessor to be in a STOP mode awakened by an RTC alarm clock when idle to reduce power consumption; the RTC alarm clock is similar to a universal clock and can cause the single-chip microcomputer to be awakened regularly in the STOP mode to perform data processing and sending operations; The blood oxygen detection module configures the second microprocessor to a STOP mode awakened by an external interrupt when idle to reduce power consumption; the data transmission chip sends a stack overflow signal to the single-chip microcomputer each time data is collected. The signal serves as an external interrupt signal to wake up the single-chip microcomputer to process and send data. After data processing and sending are completed, the single-chip microcomputer automatically enters the STOP mode.

6. The wireless integrated microsystem for intelligent monitoring of respiratory and sleeping states according to claim 2, characterized in that: The measurement range of the three-axis MEMS gyroscope is ±250, ±500, ±1000, ±2000dps, and the measurement range of the three-axis MEMS accelerometer is ±2, ±4, ±8, ±16g.

7. The wireless integrated microsystem for intelligent monitoring of respiratory and sleeping states according to claim 2, characterized in that: The carrier platform of the oral and nasal airflow detection module is in the shape of a long thin sheet, and the length-to-width ratio of the carrier platform is set between 1.1 and 1.5 according to the specific situation of the user.

8. A wireless integrated microsystem for intelligent monitoring of respiratory and sleeping states according to claim 7, characterized in that: The two sensor modules both include a temperature sensor, a humidity sensor, and a piezoelectric sensor. Preferably, the two sensor modules are any combination of the temperature sensor, the humidity sensor, and the piezoelectric sensor.

9. The wireless integrated microsystem for intelligent monitoring of respiratory and sleeping states according to claim 8, characterized in that: The humidity sensor is arranged at a position in contact with the airflow exhaled from the mouth and nose, and the humidity of the working environment is 30-80%; the piezoelectric sensor is a piezoelectric sensor composed of a piezoelectric film, and is placed at a position where the airflow passes through the mouth and nose, and its working atmospheric pressure is 70-106 kPa.

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