Non-contact sleep monitoring device and monitoring method

Abstract

The present invention discloses a non-contact sleep monitoring device and a monitoring method, comprising a monitoring body, a chip box and a mobile terminal. The monitoring body is provided with an upper cover, an upper shielding layer, a PVDF pressure sensor, a lower shielding layer and a lower cover in order from top to bottom. The chip box includes a signal amplification module, a filtering module, an analog-to-digital conversion module, a control module, a WiFi module, a storage module and a timing module. The present invention can be applied to measure breathing and heart rate. The material is sensitive and the data obtained is more accurate. At the same time, the cost is low, the material is saved, and the installation and application are simple. Non-contact measurement of physiological signals can be achieved without discomfort, and the normal sleep of a person will not be disturbed, making the monitoring data more reliable. The user can understand his own sleep time, sleep duration, sleep evaluation and other contents according to the sleep monitoring situation and analysis report. At the same time, the sleep situation of the user can be adjusted according to the historical data to make the analysis benchmark more suitable for the sleep situation of the user.

Description

Technical Field

[0001] The present invention relates to the field of sleep monitoring, and in particular to a non-contact sleep monitoring device and a monitoring method based on a PVDF piezoelectric film. Background Art

[0002] The importance of sleep to human health is self-evident. Sleep allows people's brains and bodies to rest, recuperate and recover. As an important part of repairing life organisms, sleep is closely related to people's physiological and psychological functions, and affects people's health, quality of life, work efficiency and many other aspects. The quality of sleep does not depend on the length of time, but on the quality of sleep. Sleep monitoring and sleep quality analysis have become an important part of assessing people's health status and preventing related diseases. In addition, many physiological functions in the human body will change significantly during sleep, the continuity of sleep time and changes in the body's functional regulation system, and the early signals of various chronic diseases are often easy to capture during this period. Therefore, sleep monitoring technology has become an indispensable part of modern medical diagnosis.

[0003] At present, the existing monitoring equipment can be roughly divided into polysomnography, micro-motion sensitive mattresses, infrared monitoring, wearable devices, etc. Among them, polysomnography monitors more parameters and uses many sensors. It is necessary to attach multiple electrodes to the human body, which will affect normal sleep. During the monitoring process, patients have shortcomings such as hospitalization monitoring, difficulty falling asleep, and sensors are easy to fall off. The data obtained cannot accurately reflect the normal sleep condition of the subjects. Mattress-type sleep monitoring products are complex and troublesome to connect and are not easy to implement; there are too many sensors, which are difficult to connect, and the data of multiple signal sensors are separated and independent, and the continuity of signal transmission is poor. At the same time, the material consumption is high and the cost is high; in addition, the equipment is large in size, inconvenient to move, and the procedures are cumbersome, making it difficult to use at home. Infrared monitoring equipment is very expensive and can only be used in medical research institutions, and it is difficult to popularize. Some "weakly invasive" or contact devices, such as smart watches, smart bracelets, wristband measurement, fingertip monitoring of peripheral arteries, etc., cause discomfort to the person being measured and affect sleep quality. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a non-contact sleep monitoring device and monitoring method based on PVDF piezoelectric film.

[0005] The non-contact sleep monitoring device involved in the present invention includes a monitoring body, a chip box and a mobile terminal, wherein the monitoring body and the chip box are connected by a wire, the monitoring body includes an upper shielding layer, a PVDF pressure sensor and a lower shielding layer which are arranged in sequence from top to bottom and packaged together by an outer envelope, the PVDF pressure sensor is transversely arranged between the upper shielding layer and the lower shielding layer, the chip box includes a signal amplification module, a filtering module, an analog-to-digital conversion module, a control module, a WiFi module, a storage module and a timing module, wherein the signal amplification module is used to receive the breathing and heartbeat signals collected by the PVDF pressure sensor, and increase the signal amplitude and send it to the filtering module, the filtering module receives the signal sent by the signal amplification module, filters it, removes clutter and sends it to the analog-to-digital conversion module, the analog-to-digital conversion module receives the signal sent by the filtering module The signal is converted into a digital signal that the control module can recognize and operate and sends it to the control module. The control module receives the signal sent by the analog-to-digital conversion module, analyzes it to obtain the user's sleep information, and sends the sleep information to the storage module, and sends a timing instruction to the timing module at the same time. The timing module receives the timing instruction of the control module, calculates the total sleep time and the sleep time of each stage of the user by timing, and sends the information to the control module and the storage module. After receiving the signal sent by the timing module, the control module sends the sleep information to the mobile terminal through the WiFi module, and displays the sleep information to the user through the mobile terminal. The user can send instructions to the control module through the mobile terminal, and the instruction is transmitted back to the control module through the WiFi module. The storage module is used to store the sleep information sent by the control module and the duration information sent by the timing module.

[0006] Furthermore, the chip box also includes an early warning module, an alarm light and a buzzer. When the control module analyzes that the user's heart rate data is lower than 60 beats per minute or the heart rate data is higher than 100 beats per minute, the control module sends a warning signal to the early warning module. After receiving the warning signal, the early warning module sends instructions to the alarm light and the buzzer, the alarm light flashes, and the buzzer sounds an alarm.

[0007] Furthermore, the alarm light is a YLB 5611BH digital display alarm light, and the buzzer is a HY1205GPKC1206 buzzer.

[0008] Furthermore, the control module and the mobile terminal may be connected via a Bluetooth module.

[0009] Furthermore, the mobile terminal is a mobile phone, a desktop computer or a tablet computer.

[0010] Furthermore, the signal amplification module is a TLV2464CNE4 signal amplification chip, the filtering module is a MAX274BEWI filter, the analog-to-digital conversion module is an STM32F103C8T6 analog-to-digital conversion chip, the control module is an STM32F103C8T6 chip, the timing module is an LMC555CMX timing chip, and the WiFi module is an ESP8266 WiFi module.

[0011] Furthermore, the storage module is a TF memory card or an SD memory card.

[0012] Furthermore, the thickness of the outer envelope is 1 mm, the thickness of the upper shielding layer and the lower shielding layer is 1 mm, and the thickness of the PVDF pressure sensor layer is 30-500 μm.

[0013] The method for performing sleep monitoring using the non-contact sleep monitoring device as described above comprises the following steps:

[0014] S1. Determine whether the user is using the mobile terminal for the first time. If it is the first time to use the mobile terminal, the user needs to register. After registration, jump to step S2 to start establishing a sleep record. If the sleep record has been established, jump to step S6;

[0015] S2. Start to establish sleep record. When the monitoring body collects breathing and heart rate data, it starts to record the start time of sleep and collects a set of breathing frequency and heart rate data every minute;

[0016] S3. When sleep ends, the monitoring body stops collecting breathing and heart rate data, records the end time of sleep, and calculates the total sleep time, which is recorded as N minutes and stored in the storage module;

[0017] S4. Arrange the obtained N respiratory rate data in ascending order to obtain the data set {A1, A2, A3...AN}, take A[N / 4] as the deep sleep respiratory rate threshold, take A[3N / 4] as the shallow sleep respiratory rate threshold, and store them in the storage module;

[0018] S5. The obtained N heart rate data are arranged in ascending order to obtain a data set {B1, B2, B3 ... BN}, B[N / 4] is taken as the deep sleep heart rate threshold, B[3N / 4] is taken as the light sleep heart rate threshold, and stored in the storage module;

[0019] S6. Start sleep monitoring. When the monitoring body collects breathing and heartbeat data, it starts recording the sleep start time;

[0020] S7. The monitoring body collects a set of respiratory rate and heart rate data every minute;

[0021] S8. Is the minute heart rate less than the light sleep heart rate threshold? If so, jump to step S9; if so, jump to step S11;

[0022] S9. Whether the minute heart rate is less than the deep sleep heart rate threshold, if it is less than the deep sleep heart rate threshold, jump to step S10, if it is greater than the deep sleep heart rate threshold, jump to step S13;

[0023] S10. Whether the minute respiratory frequency is less than the deep sleep respiratory frequency threshold, if it is less than the deep sleep respiratory frequency threshold, jump to step S12, if it is greater than the deep sleep respiratory frequency threshold, jump to step S13;

[0024] S11. Whether the minute respiratory frequency is less than the shallow sleep respiratory frequency threshold, if it is less than the shallow sleep respiratory frequency threshold, jump to step S13, if it is greater than the shallow sleep respiratory frequency threshold, jump to step S14;

[0025] S12. Determine that the minute is a deep sleep state, and jump to step S15;

[0026] S13. Determine that the minute is a light sleep state, and jump to step S15;

[0027] S14. Determine that the minute is awake, and jump to step S15;

[0028] S15. Determine whether the sleep is over, if the sleep is over, jump to step S16, if the sleep is not over, jump to step S7;

[0029] S16. Record the end time of sleep, calculate the total sleep duration as N1 minutes, and store it in the storage module;

[0030] S17. The control module calculates the duration of the awake state, the light sleep state and the deep sleep state, and the proportion of each sleep state to the total sleep duration, and displays it to the user through the mobile terminal;

[0031] S18. The user subjectively judges whether the sleep quality is good or not. If the sleep quality is good, the process goes to step S19. If the sleep quality is poor, the process goes to step S21.

[0032] S19. Mix the N1 respiratory rate data collected this time with the respiratory rate data collected and retained previously, arrange them in order from small to large, and obtain a new {A1, A2, A3...AN+N1} data group, update A[(N+N1) / 4] as the deep sleep respiratory rate threshold, update A[3(N+N1) / 4] as the shallow sleep respiratory rate threshold, and store them in the storage module;

[0033] S20. Mix the N1 heart rate data collected this time with the previously collected and retained heart rate data, arrange them in ascending order, obtain a new data set {B1, B2, B3 ... BN + N1}, update B[(N + N1) / 4] as the deep sleep heart rate threshold, update B[3(N + N1) / 4] as the light sleep heart rate threshold, and store them in the storage module;

[0034] S21. Sleep monitoring ends.

[0035] Beneficial effects of using the sleep monitoring device and method provided by the present invention:

[0036] 1. The PVDF pressure sensor has the function of measuring pressure and vibration. The pressure sensor is determined by its structure. It is an integral structure that can measure data as a whole and can fit closely with the human body to ensure the continuity of the monitoring data.

[0037] 2. The material is sensitive, and with the amplification circuit and filtering circuit, the data obtained is more accurate. At the same time, the cost is low, the material is saved, the installation and application are simple, and no special equipment is required. The device mainly includes sensors and chips without special devices, and is easy to connect and use. The material is thin and light, has good flexibility, is not afraid of folding, is waterproof, and is easy to carry.

[0038] 3. The device can realize non-contact measurement of physiological signals, without discomfort, very light and thin, and the user cannot feel the thickness. There is no limit on sleeping posture when placing and using it. The present invention places the sensor belt in the sleeping area of ​​the human body. No matter what sleeping posture, as long as the body is in contact with the sensor, a signal can be generated, and no sleeping posture is limited.

[0039] 4. Users can understand their own sleep time, sleep duration, sleep evaluation and other contents according to the sleep monitoring and analysis report, and adjust the sleep cycle according to their own situation to improve their sleep condition. At the same time, they can also adjust their own sleep situation according to historical data to make the analysis benchmark more suitable for their own sleep situation. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The drawings in the specification, which constitute a part of this application, are used to provide a further understanding of the present invention. The illustrative embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0041] Figure 1 It is a structural diagram of the monitoring body;

[0042] Figure 2 It is a schematic diagram of the connection between the monitoring body and the chip box;

[0043] Figure 3 Schematic diagram of the position of the PVDF pressure sensor in the sleep monitoring device;

[0044] Figure 4 This is the structure diagram inside the chip box;

[0045] Figure 5 This is a flow chart of the sleep monitoring method of the present invention.

[0046] In the figure: 1. chip box, 2. PVDF pressure sensor, 3. monitoring body, 4. upper shielding layer, 5. wire, 6. lower shielding layer, 7. outer envelope, 8. filtering module, 9. analog-to-digital conversion module, 10. control module, 11. mobile terminal, 12. Bluetooth module, 13. WiFi module, 14. storage module, 15. timing module, 16. early warning module, 17. alarm light, 18. buzzer, 19. signal amplification module. DETAILED DESCRIPTION

[0047] In order to deepen the understanding of the present invention, the present invention will be further described in detail below with reference to embodiments and drawings.

[0048] like Figure 1~Figure 4As shown in , the non-contact sleep monitoring device in this embodiment includes a monitoring body 3, a chip box 1 and a mobile terminal 11, wherein the monitoring body 3 is connected to the chip box 1 through a wire 5, and the monitoring body 3 includes an upper shielding layer 4, a PVDF pressure sensor 2 and a lower shielding layer 6 which are arranged in sequence from top to bottom and packaged together through an outer envelope 7, wherein the PVDF pressure sensor 2 is transversely arranged between the upper shielding layer 4 and the lower shielding layer 6, and the chip box 1 includes a signal amplification module 19, a filtering module 8, an analog-to-digital conversion module 9, a control module 10, a WiFi module 13, a storage module 14 and a timing module 15, wherein the signal amplification module 19 is used to receive the breathing and heartbeat signals collected by the PVDF pressure sensor 2, and increase the signal amplitude and send it to the filtering module 8, wherein the filtering module 8 receives the signal sent by the signal amplification module 19, filters it and removes clutter and sends it to the analog-to-digital conversion module 9, and the analog-to-digital conversion module 9 receives the signal sent by the filtering module 8 , convert it into a digital signal that the control module 10 can recognize and operate and send it to the control module 10. The control module 10 receives the signal sent by the analog-to-digital conversion module 9, analyzes it to obtain the user's sleep information, and sends the sleep information to the storage module 14. At the same time, a timing instruction is sent to the timing module 15. The timing module 15 receives the timing instruction of the control module 10, calculates the total sleep time and the sleep time of each stage of the user by timing, and sends the information to the control module 10 and the storage module 14. After receiving the signal sent by the timing module 15, the control module 10 sends the sleep information to the mobile terminal 11 through the WiFi module 13, and displays the sleep information to the user through the mobile terminal 11. The user can send instructions to the control module 10 through the mobile terminal 11, and the instruction is transmitted back to the control module 10 through the WiFi module 13. The storage module 14 is used to store the sleep information sent by the control module 10 and the duration information sent by the timing module 15.

[0049] The chip box 1 also includes an early warning module 16, an alarm light 17 and a buzzer 18. When the control module 10 analyzes that the user's heart rate data is lower than 60 beats per minute or the heart rate data is higher than 100 beats per minute, the control module 10 sends an early warning signal to the early warning module 16. After receiving the early warning signal, the early warning module 16 sends instructions to the alarm light 17 and the buzzer 18, the alarm light 17 flashes, and the buzzer 18 sounds an alarm.

[0050] The warning light 17 is a YLB 5611BH digital display warning light, and the buzzer 18 is a HY1205GPKC1206 buzzer.

[0051] The control module 10 and the mobile terminal 11 may also be connected via a Bluetooth module 12 .

[0052] The mobile terminal 11 is a mobile phone, a desktop computer or a tablet computer.

[0053] The signal amplification module 19 is a TLV2464CNE4 signal amplification chip, the filtering module 8 is a MAX274BEWI filter, the analog-to-digital conversion module 9 is an STM32F103C8T6 analog-to-digital conversion chip, the control module 10 is an STM32F103C8T6 chip, the timing module 15 is an LMC555CMX timing chip, and the WiFi module 13 is an ESP8266 WiFi module.

[0054] The storage module 14 is a TF memory card or a SD memory card.

[0055] The thickness of the outer envelope 3 is 1 mm, the thickness of the upper shielding layer 4 and the lower shielding layer 6 is 1 mm, and the thickness of the PVDF pressure sensor 2 is 30-500 μm.

[0056] like Figure 5 As shown, the method for performing sleep monitoring using the non-contact sleep monitoring device of this embodiment comprises the following steps:

[0057] (1) Determine whether the user is using the mobile terminal 11 for the first time. If it is the first time, the user needs to register using the mobile terminal 11. After the registration is completed, jump to step (2) to start creating a sleep record. If the sleep record has been created, jump to step (6);

[0058] (2) Start to establish sleep records. When the monitoring body 3 collects breathing and heart rate data, it starts to record the sleep start time and collects a set of breathing frequency and heart rate data every minute;

[0059] (3) When sleep ends, the monitoring body 3 stops collecting breathing and heartbeat data, records the end time of sleep, and calculates the total sleep time, which is recorded as N minutes and stored in the storage module 14;

[0060] (4) Arrange the obtained N respiratory rate data in ascending order to obtain a data group {A1, A2, A3...AN}, take A[N / 4] as the deep sleep respiratory rate threshold, take A[3N / 4] as the shallow sleep respiratory rate threshold, and store them in the storage module 14;

[0061] (5) Arrange the obtained N heart rate data in ascending order to obtain a data group {B1, B2, B3...BN}, take B[N / 4] as the deep sleep heart rate threshold, take B[3N / 4] as the light sleep heart rate threshold, and store them in the storage module 14;

[0062] (6) Start sleep monitoring. When the monitoring body 3 collects breathing and heartbeat data, it starts recording the sleep start time;

[0063] (7) The monitoring body 3 collects a set of respiratory rate and heart rate data every minute;

[0064] (8) Whether the heart rate of the minute is less than the light sleep heart rate threshold, if so, jump to step (9); if so, jump to step (11);

[0065] (9) Whether the minute heart rate is less than the deep sleep heart rate threshold, if so, jump to step (10); if so, jump to step (13);

[0066] (10) Whether the breathing frequency in this minute is less than the deep sleep breathing frequency threshold, if so, jump to step (12); if so, jump to step (13);

[0067] (11) Whether the respiratory rate in this minute is less than the shallow sleep respiratory rate threshold, if so, jump to step (13); if so, jump to step (14);

[0068] (12) Determine that the minute is a deep sleep state, and jump to step (15);

[0069] (13) Determine that the minute is a light sleep state, and jump to step (15);

[0070] (14) Determine that the minute is the awake state, and jump to step (15);

[0071] (15) Determine whether sleep is over. If sleep is over, jump to step (16); if sleep is not over, jump to step (7);

[0072] (16) Recording the end time of sleep, and calculating the total sleep duration as N1 minutes, and storing it in the storage module 14;

[0073] (17) The control module calculates the duration of the awake state, the light sleep state and the deep sleep state, and the proportion of each sleep state to the total sleep duration, and displays them to the user through the mobile terminal 11;

[0074] (18) The user subjectively judges whether the sleep quality is good or not. If the sleep quality is good, the user jumps to step (19); if the sleep quality is poor, the user jumps to step (21);

[0075] (19) Mix the N1 respiratory rate data collected this time with the respiratory rate data collected and retained previously, arrange them in order from small to large, and obtain a new {A1, A2, A3...AN+N1} data group, update A[(N+N1) / 4] as the deep sleep respiratory rate threshold, update A[3(N+N1) / 4] as the shallow sleep respiratory rate threshold, and store them in the storage module 14;

[0076] (20) Mix the N1 heart rate data collected this time with the previously collected and retained heart rate data, arrange them in order from small to large, and obtain a new data group {B1, B2, B3...BN+N1}, update B[(N+N1) / 4] as the deep sleep heart rate threshold, update B[3(N+N1) / 4] as the light sleep heart rate threshold, and store them in the storage module 14;

[0077] (21) Sleep monitoring ends.

[0078] The above are only specific embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for sleep monitoring using a non-contact sleep monitoring device, the non-contact sleep monitoring device comprising a monitoring body, a chip box and a mobile terminal, the monitoring body and the chip box being connected by a wire, the monitoring body comprising an upper shielding layer, a PVDF pressure sensor and a lower shielding layer which are sequentially arranged from top to bottom and packaged together by an outer envelope, the PVDF pressure sensor being transversely arranged between the upper shielding layer and the lower shielding layer, the chip box comprising a signal amplification module, a filtering module, an analog-to-digital conversion module, a control module, a WiFi module, a storage module and a timing module, wherein the signal amplification module is used to receive the breathing and heartbeat signals collected by the PVDF pressure sensor, and increase the signal amplitude and then send it to the filtering module, the filtering module receives the signal sent by the signal amplification module, filters it and removes clutter and sends it to the analog-to-digital conversion module, the analog-to-digital conversion module receives The signal sent by the filtering module is converted into a digital signal that can be recognized and operated by the control module and sent to the control module. The control module receives the signal sent by the analog-to-digital conversion module, analyzes it to obtain the user's sleep information, and sends the sleep information to the storage module, and sends a timing instruction to the timing module at the same time. The timing module receives the timing instruction of the control module, calculates the total sleep time and the sleep time of each stage of the user by timing, and sends the information to the control module and the storage module. After receiving the signal sent by the timing module, the control module sends the sleep information to the mobile terminal through the WiFi module, and displays the sleep information to the user through the mobile terminal. The user can send instructions to the control module through the mobile terminal, and the instruction is transmitted back to the control module through the WiFi module. The storage module is used to store the sleep information sent by the control module and the duration information sent by the timing module, characterized in that S1. Determine whether the user is using the device for the first time through the mobile terminal. If it is the first time, the user needs to register with the mobile terminal. After the registration is completed, jump to step S2 to start creating a sleep record. If the sleep record has been created, jump to step S6. S2. Start to establish sleep record. When the monitoring body collects breathing and heart rate data, it starts to record the sleep start time and collects a set of breathing frequency and heart rate data every minute; S3, when sleep ends, the monitoring body stops collecting breathing and heartbeat data, records the end time of sleep, and calculates the total sleep time, which is recorded as N minutes and stored in the storage module; S4, arranging the obtained N respiratory frequency data in ascending order to obtain a data group {A1, A2, A3...AN}, taking A[N / 4] as the deep sleep respiratory frequency threshold, taking A[3N / 4] as the shallow sleep respiratory frequency threshold, and storing them in a storage module; S5, arranging the obtained N heart rate data in ascending order to obtain a data group {B1, B2, B3...BN}, taking B[N / 4] as the deep sleep heart rate threshold, taking B[3N / 4] as the light sleep heart rate threshold, and storing them in a storage module; S6, start sleep monitoring, when the monitoring body collects breathing and heartbeat data, start recording the sleep start time; S7, the monitoring body collects a set of respiratory frequency and heart rate data every minute; S8, whether the minute heart rate is less than the light sleep heart rate threshold, if it is less than the light sleep heart rate threshold, jump to step S9, if it is greater than the light sleep heart rate threshold, jump to step S11; S9, whether the minute heart rate is less than the deep sleep heart rate threshold, if it is less than the deep sleep heart rate threshold, jump to step S10, if it is greater than the deep sleep heart rate threshold, jump to step S13; S10, whether the minute respiratory frequency is less than the deep sleep respiratory frequency threshold, if it is less than the deep sleep respiratory frequency threshold, jump to step S12, if it is greater than the deep sleep respiratory frequency threshold, jump to step S13; S11, whether the minute breathing frequency is less than the shallow sleep breathing frequency threshold, if it is less than the shallow sleep breathing frequency threshold, jump to step S13, if it is greater than the shallow sleep breathing frequency threshold, jump to step S14; S12, determine that the minute is a deep sleep state, and jump to step S15; S13, determine that the minute is a light sleep state, and jump to step S15; S14, determine that the minute is awake, and jump to step S15; S15, judging whether the sleep is over, if the sleep is over, jumping to step S16, if the sleep is not over, jumping to step S7; S16, recording the end time of sleep, and calculating the total sleep duration as N1 minutes, and storing it in the storage module; S17, the control module calculates the duration of the awake state, the light sleep state and the deep sleep state, and the proportion of each sleep state to the total sleep time, and displays them to the user through the mobile terminal; S18: The user subjectively judges whether the sleep quality is good or not. If the sleep quality is good, the process goes to step S19; if the sleep quality is poor, the process goes to step S21; S19, the N1 respiratory rate data collected this time are mixed with the respiratory rate data collected and retained previously, and arranged in order from small to large to obtain a new {A1, A2, A3...AN+N1} data group, and A[(N+N1) / 4] is updated as the deep sleep respiratory rate threshold, and A[3(N+N1) / 4] is updated as the shallow sleep respiratory rate threshold, and stored in the storage module; S20, mixing the N1 heart rate data collected this time with the previously collected and retained heart rate data, arranging them in ascending order to obtain a new data group {B1, B2, B3 ... BN+N1}, updating B[(N+N1) / 4] as the deep sleep heart rate threshold, updating B[3(N+N1) / 4] as the light sleep heart rate threshold, and storing them in the storage module; S21. Sleep monitoring ends.

2. The method for sleep monitoring using a non-contact sleep monitoring device according to claim 1, characterized in that: The chip box also includes an early warning module, an alarm light and a buzzer. When the control module analyzes that the user's heart rate data is lower than 60 beats per minute or the heart rate data is higher than 100 beats per minute, the control module sends an early warning signal to the early warning module. After receiving the early warning signal, the early warning module sends instructions to the alarm light and the buzzer, the alarm light flashes, and the buzzer sounds an alarm.

3. The method for sleep monitoring using a non-contact sleep monitoring device as claimed in claim 2, characterized in that: The alarm light is a YLB 5611BH digital display alarm light, and the buzzer is a HY1205GP KC1206 buzzer.

4. The method for sleep monitoring using a non-contact sleep monitoring device according to claim 1, characterized in that: The control module and the mobile terminal may also be connected via a Bluetooth module.

5. The method for sleep monitoring using a non-contact sleep monitoring device according to claim 1, characterized in that: The mobile terminal is a mobile phone, a desktop computer or a tablet computer.

6. The method for sleep monitoring using a non-contact sleep monitoring device according to claim 1, characterized in that: The signal amplification module is a TLV2464CNE4 signal amplification chip, the filtering module is a MAX274BEWI filter, the analog-to-digital conversion module is an STM32F103C8T6 analog-to-digital conversion chip, the control module is an STM32F103C8T6 chip, the timing module is an LMC555CMX timing chip, and the WiFi module is an ESP8266 WiFi module.

7. The method for sleep monitoring using a non-contact sleep monitoring device according to claim 1, characterized in that: The storage module is a TF memory card or an SD memory card.

8. The method for sleep monitoring using a non-contact sleep monitoring device as claimed in claim 1, characterized in that: The thickness of the outer envelope is 1 mm, the thickness of the upper shielding layer and the lower shielding layer is 1 mm, and the thickness of the PVDF pressure sensor layer is 30-500 μm.

Images