CN112043489A - Snore detection method and device based on intelligent snore stopping pillow - Google Patents
Snore detection method and device based on intelligent snore stopping pillow Download PDFInfo
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- CN112043489A CN112043489A CN202010988543.4A CN202010988543A CN112043489A CN 112043489 A CN112043489 A CN 112043489A CN 202010988543 A CN202010988543 A CN 202010988543A CN 112043489 A CN112043489 A CN 112043489A
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- 206010041235 Snoring Diseases 0.000 title claims abstract description 164
- 238000001514 detection method Methods 0.000 title claims description 13
- 238000000034 method Methods 0.000 claims abstract description 19
- 238000001914 filtration Methods 0.000 claims abstract description 17
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 9
- 230000003321 amplification Effects 0.000 claims description 5
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 5
- 239000000463 material Substances 0.000 abstract description 10
- 230000035807 sensation Effects 0.000 abstract description 7
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 210000003205 muscle Anatomy 0.000 description 3
- 230000007958 sleep Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 210000003800 pharynx Anatomy 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000005236 sound signal Effects 0.000 description 2
- 210000001519 tissue Anatomy 0.000 description 2
- 206010001497 Agitation Diseases 0.000 description 1
- 208000024806 Brain atrophy Diseases 0.000 description 1
- 206010021143 Hypoxia Diseases 0.000 description 1
- 206010042434 Sudden death Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000000988 bone and bone Anatomy 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000001447 compensatory effect Effects 0.000 description 1
- 230000008602 contraction Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000001146 hypoxic effect Effects 0.000 description 1
- 238000002513 implantation Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 210000000867 larynx Anatomy 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 210000005036 nerve Anatomy 0.000 description 1
- 210000001331 nose Anatomy 0.000 description 1
- 230000000241 respiratory effect Effects 0.000 description 1
- 210000003625 skull Anatomy 0.000 description 1
- 201000002859 sleep apnea Diseases 0.000 description 1
- 230000003860 sleep quality Effects 0.000 description 1
- 210000001260 vocal cord Anatomy 0.000 description 1
- 230000002618 waking effect Effects 0.000 description 1
Images
Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61F—FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
- A61F5/00—Orthopaedic methods or devices for non-surgical treatment of bones or joints; Nursing devices; Anti-rape devices
- A61F5/56—Devices for preventing snoring
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4818—Sleep apnoea
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a snore detecting method based on an intelligent snore stopping pillow. A snore detecting method based on an intelligent snore stopping pillow comprises the following steps: s1: collecting snore signals through a piezoelectric film; s2: amplifying the collected snore signals through a signal amplifying circuit; s3: the amplified snore signal is filtered through a signal filtering circuit; s4: performing data processing on the filtered snore signals through a preset program, and identifying snore characteristics; s5: and statistically recording snore data of the user. The snore detecting device adopts the piezoelectric film as the snore signal collecting end, has good signal corresponding characteristics, and is very suitable for being applied to the snore stopping pillow to detect weak dynamic snore signals; meanwhile, the piezoelectric film sensor material is soft in texture and high in plasticity, can be highly attached to a soft pillow material, and a user does not feel foreign body sensation.
Description
Technical Field
The invention relates to the field of snore stopping pillows, in particular to a snore detecting method and device based on an intelligent snore stopping pillow.
Background
Snoring (sleep apnea syndrome) is a ubiquitous sleep phenomenon. Most people are not in the same place, and snoring is the first big enemy affecting sleep quality. The authoritative research data show that long-term snoring can cause unsmooth breathing at night, 78% can induce hypoxic brain atrophy and even sudden death, and 4000 people die from various diseases caused by the snoring every day in the world. Therefore, timely detection of snoring conditions and medical intervention are effective ways to ensure the health of the population prone to snoring.
The existing snore detection is named as a snore stopping pillow by Chinese patent number (CN 209678809U), the snore stopping pillow comprises a pillow body and an air bag device, whether a user snores is judged by collecting snore of the user during sleep at night, and then a rear-end device is started to relieve the snore of the user. The device detects the means of sound signal of snoring is general means, adopts miaow head (sound transducer) as the collection end of sound signal of snoring, but its shortcoming is, says the dream signal of dreaming with the user easily and thinks the snore signal by mistake, leads to the snore stopping system to trigger by mistake to miaow head texture is hard, when implanting in the pillow product, has obvious foreign body sensation, causes the discomfort.
The technical problem to be solved by the application is as follows: how to solve the accuracy that the snore stopping pillow detected the snore signal and how to realize the travelling comfort behind the pillow implantation snore detection device.
Disclosure of Invention
The invention aims to provide a snore detecting method and device based on an intelligent snore stopping pillow for accurately judging snore.
In order to achieve the purpose, the snore detecting method based on the intelligent snore stopping pillow adopts the following technical scheme, and comprises the following steps:
s1: collecting snore signals through a piezoelectric film;
s2: amplifying the collected snore signals through a signal amplifying circuit;
s3: the amplified snore signal is filtered through a signal filtering circuit;
s4: performing data processing on the filtered snore signals through a preset program, and identifying snore characteristics;
s5: and statistically recording snore data of the user.
The piezoelectric film is used as a snore signal acquisition end, has good signal corresponding characteristics, is very suitable for being applied to the snore stopping pillow to detect weak dynamic snore signals, and the detection precision of the piezoelectric film can start the snore stopping function to intervene under the condition that the snore state of a body is not obvious, so that the influence on the sleeping quality of a bedridden person due to the snore interference is avoided; meanwhile, the piezoelectric film sensor material is soft in texture and high in plasticity, can be highly attached to a soft pillow material, and a user does not feel foreign body sensation.
In some embodiments, in step S4, the preset program uses the a/D to collect the filtered snore analog signal, and the MCU converts the a/D collected signal into a digital signal.
In some embodiments, in step S4, the snore characteristics include volume, frequency, and duration of the snore to determine the level of snoring.
In some embodiments, the step S1 includes heartbeat, respiration, and body movement signals in the collected snore signals.
In some embodiments, the signal filtering circuit in step S3 employs a high-pass filter to filter the low-frequency signals of the heartbeat, respiration, and body movement signals to obtain the high-frequency snore signals.
Snore detection device based on intelligence snore relieving pillow is equipped with piezoelectric film collector in including the pillow, still includes signal amplification circuit, signal filter circuit and the MCU of electric connection in proper order.
In some embodiments, the MCU is provided with an A/D acquisition circuit, and the A/D acquisition circuit is electrically connected with the signal filtering circuit and the MCU.
In some embodiments, the piezoelectric film collector is disposed on the pillow portion.
In some embodiments, the signal filtering circuit is provided with a high pass filter.
The invention has the beneficial effects that: according to the snore detecting method and device based on the intelligent snore stopping pillow, the piezoelectric film collector is arranged to collect snore signals, the MCU is used for judging data after signal processing is realized through the signal amplifying circuit and the signal filtering circuit, whether snoring exists or not can be accurately judged, and misoperation is avoided; meanwhile, the detection precision is high, the snore stopping function can be started for intervention under the condition that the snore state of the body is not obvious, and the influence on the sleeping quality of the bedridden person due to the snore interference is avoided; meanwhile, the piezoelectric film sensor material is soft in texture and high in plasticity, can be highly attached to a soft pillow material, and a user does not feel foreign body sensation.
Drawings
FIG. 1 is a schematic flow chart of a snore detecting method based on an intelligent snore stopping pillow according to the invention;
FIG. 2 is a schematic diagram of snoring;
FIG. 3 is a waveform diagram of the snore signal;
FIG. 4 is a schematic structural diagram of the snore detecting device based on the intelligent snore stopping pillow according to the present invention;
fig. 5 is a schematic diagram of a simple structure of a snore detecting device applied to a snore stopping pillow in embodiment 2 of the invention;
fig. 6 is a schematic flow chart of the snore detecting signal of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, the snore detecting method based on the intelligent snore stopping pillow comprises the following steps:
s1: collecting snore signals through a piezoelectric film;
s2: amplifying the collected snore signals through a signal amplifying circuit;
s3: the amplified snore signal is filtered through a signal filtering circuit;
s4: performing data processing on the filtered snore signals through a preset program, and identifying snore characteristics;
s5: and statistically recording snore data of the user.
In step S4, the preset program adopts A/D to collect the filtered snore analog signal, and the MCU converts the A/D collected signal into digital signal.
In step S4, the snore characteristics include volume, frequency, and duration of the snore, so as to determine the degree of snoring.
In step S1, the collected snore signals also include heartbeat, respiration, and body movement signals.
In step S3, the signal filtering circuit adopts a high-pass filter to filter the low-frequency signals of the heartbeat, respiration, and body movement signals to obtain the high-frequency snore signals.
As shown in fig. 2, if the three locations of the nose, pharynx and larynx become blocked while a person is sleeping, the respiratory airflow will impact these locations causing them to vibrate to different degrees.
The high-frequency snore signals generated by vocal cord vibration transmit the signals to the surface of the skin through human bones (including cervical vertebra, skull, and the like) and media such as muscle tissues, blood, tissue fluid and the like. Since the piezoelectric film sensor is sensitive to the response of the vibration signal, when the piezoelectric film sensor is placed on the head of a human body, the piezoelectric film sensor can record the vibration signal.
Due to the characteristics of the piezoelectric film, the vibration signal can be converted into a voltage signal, and then the snore signal of the user can be indirectly obtained by collecting the change of the output voltage of the piezoelectric film.
In the existing product process, a microphone (sound sensor) is usually adopted as a snore signal acquisition end, and the working principle of the microphone is as follows: the user snores to cause the vibration of the diaphragm, and the diaphragm can change the distance between the diaphragm and the polar plate, so that the conversion from the acoustic signal to the electric signal is completed. Only when the sound source signal reaches a certain degree, the snore signal can be collected by the microphone, and the snore detection precision is not high due to the fact that the snore signal can be collected by the microphone. And because the microphone is hard, the microphone can have obvious foreign body sensation when being implanted into some products, so the microphone is not suitable for being implanted into the pillow.
The problem can be avoided by adopting the piezoelectric film sensor as the snore signal acquisition end. The piezoelectric film sensor has good signal response characteristics as a flexible sensor, is very suitable for being applied to the snore stopping pillow to detect weak dynamic snore signals, and meanwhile, the sensor material is soft in texture and high in plasticity, can be highly attached to a soft pillow material, and does not cause foreign body sensation to a user. The detection precision of the snore stopping device can start the snore stopping function to intervene under the condition that the snore state of a body is not obvious, and the influence on the sleeping quality of a bedridden person due to the snore interference is avoided.
Because the output signal of the piezoelectric film is very weak, and the attenuation is very fast, the piezoelectric film is easily interfered by the external environment. Therefore, the signal has a certain loading capacity, so the signal is processed in the first step by amplification. The signal amplification circuit is used for amplifying the collected snore signals, so that the further processing of the back-end circuit is facilitated.
As shown in fig. 3, since the snorer's airway is usually narrower than normal, the compensatory contraction of the muscles of the throat keeps the airway open during daytime waking hours, and no blockage occurs. However, when sleeping at night, nerve excitability is reduced, muscles are relaxed, pharyngeal tissues are blocked, an upper airway is collapsed, and when airflow passes through a narrow part, vortex is generated and vibration is caused, so that snore occurs. Thus, snoring is a high frequency signal.
In the signal acquisition process, the piezoelectric film not only acquires snoring signals of a user, but also acquires heartbeat, respiration, body movement and other signals of the user, and the signals are useless signals for snore judgment of the user, so that the signals need to be filtered in the second step, and the heartbeat, respiration and body movement signals of the user are filtered. Since the frequency of these filtered signals is much lower than that of the snore signal, the filtering of the signals can be achieved by using a high-pass filter. After filtering, a pure snoring signal can be obtained.
After the signals are amplified and filtered, A/D acquisition can be carried out on the signals, the MCU converts the signals after AD acquisition into digital signals, and then the signals are processed through the digital signals, and the characteristics of the snore signals are identified, so that the sleeping state of the current user can be judged, and whether snoring occurs or not can be judged. The degree and length of snoring of the user can also be judged. Thus, the detection and recording of the snore signal are completed.
The piezoelectric film is used as a snore signal acquisition end, has good signal corresponding characteristics, is very suitable for being applied to the snore stopping pillow to detect weak dynamic snore signals, and the detection precision of the piezoelectric film can start the snore stopping function to intervene under the condition that the snore state of a body is not obvious, so that the influence on the sleeping quality of a bedridden person due to the snore interference is avoided; meanwhile, the piezoelectric film sensor material is soft in texture and high in plasticity, can be highly attached to a soft pillow material, and a user does not feel foreign body sensation.
Example 2
As shown in figure 4, the snore detecting device based on the intelligent snore stopping pillow comprises a pillow inner, wherein a piezoelectric film collector is arranged in the pillow inner, and the snore detecting device further comprises a signal amplifying circuit, a signal filtering circuit and an MCU which are sequentially and electrically connected.
The MCU is provided with an A/D acquisition circuit, the A/D acquisition circuit is electrically connected with the signal filtering circuit and the MCU, and the signal filtering circuit is provided with a high-pass filter.
As shown in fig. 5, the piezoelectric film collector is disposed on the headrest portion of the pillow core, and the headrest portion is in direct contact with the human body, so that vibration information can be fully acquired, and a snore signal can be conveniently collected.
The piezoelectric film collector nearly spans the whole pillow core, so that snore signals which can be detected when a user sleeps at different positions of the pillow are guaranteed. MCU, signal amplification circuit, signal filter circuit external integration are on the PCB board, avoid influencing the comfort level of pillow.
External PCB board still usually will be equipped with data interface, power source, and data interface adopts USB or Type-C interface, is provided with wireless bluetooth or WIFI module simultaneously, can carry out the data intercommunication with removal ends such as cell-phone APP, conveniently looks over the snore data of record.
In this embodiment, the snore detecting device based on the intelligent snore stopping pillow adopts the detecting method described in embodiment 1 when in operation, which is not described herein again.
What has been described above are merely some embodiments of the present invention. It will be apparent to those skilled in the art that various changes and modifications can be made without departing from the inventive concept thereof, and these changes and modifications can be made without departing from the spirit and scope of the invention.
Claims (9)
1. A snore detecting method based on an intelligent snore stopping pillow is characterized by comprising the following steps:
s1: collecting snore signals through a piezoelectric film;
s2: amplifying the collected snore signals through a signal amplifying circuit;
s3: the amplified snore signal is filtered through a signal filtering circuit;
s4: performing data processing on the filtered snore signals through a preset program, and identifying snore characteristics;
s5: and statistically recording snore data of the user.
2. The snore detecting method based on the intelligent snore stopping pillow according to claim 1, wherein in the step S4, a preset program adopts an A/D to collect the filtered snore analog signals, and an MCU converts the A/D collected signals into digital signals.
3. The snore detecting method based on the intelligent snore stopping pillow as claimed in claim 1, wherein in the step S4, the snore characteristics include volume, frequency and duration of the snore so as to judge the degree of snoring.
4. The snore detecting method based on the intelligent snore stopping pillow as claimed in claim 1, wherein the collected snore signals in the step S1 further include heartbeat, respiration and body movement signals.
5. The intelligent snore stopping pillow based snore detecting method of claim 4, wherein the signal filtering circuit in step S3 adopts a high-pass filter to filter the low-frequency signals of the heartbeat, respiration and body movement signals to obtain the high-frequency snore signals.
6. Snore detection device based on intelligence snore relieving pillow, including the pillow, its characterized in that, be equipped with piezoelectric film collector in the pillow, still include signal amplification circuit, signal filter circuit and the MCU of electric connection in proper order.
7. The intelligent snore stopping pillow based snore detecting method of claim 6, wherein the MCU is provided with an A/D acquisition circuit, and the A/D acquisition circuit is electrically connected with the signal filtering circuit and the MCU.
8. The snore detecting method based on the intelligent snore stopping pillow according to claim 6, wherein the piezoelectric film collector is arranged on a pillow part of the pillow core.
9. The intelligent snore stopping pillow based snore detecting method of claim 6, wherein the signal filtering circuit is provided with a high pass filter.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010988543.4A CN112043489A (en) | 2020-09-18 | 2020-09-18 | Snore detection method and device based on intelligent snore stopping pillow |
| CN202310040010.7A CN116919706A (en) | 2020-09-18 | 2020-09-18 | Snore detecting method based on intelligent snore relieving pillow |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010988543.4A CN112043489A (en) | 2020-09-18 | 2020-09-18 | Snore detection method and device based on intelligent snore stopping pillow |
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| CN202310040010.7A Division CN116919706A (en) | 2020-09-18 | 2020-09-18 | Snore detecting method based on intelligent snore relieving pillow |
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| CN112043489A true CN112043489A (en) | 2020-12-08 |
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| CN202010988543.4A Pending CN112043489A (en) | 2020-09-18 | 2020-09-18 | Snore detection method and device based on intelligent snore stopping pillow |
| CN202310040010.7A Pending CN116919706A (en) | 2020-09-18 | 2020-09-18 | Snore detecting method based on intelligent snore relieving pillow |
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| CN202310040010.7A Pending CN116919706A (en) | 2020-09-18 | 2020-09-18 | Snore detecting method based on intelligent snore relieving pillow |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103251474A (en) * | 2013-04-13 | 2013-08-21 | 许彦斌 | Snore stopping pillow |
| CN204863622U (en) * | 2015-04-30 | 2015-12-16 | 深圳市前海安测信息技术有限公司 | A massaging apparatus for sleeping quality control |
| CN105919716A (en) * | 2016-05-18 | 2016-09-07 | 深圳市云传智联技术有限公司 | Sleeping posture regulating device and sleeping posture regulating system |
| CN206044806U (en) * | 2016-06-20 | 2017-03-29 | 深圳市量子慧智科技有限公司 | Device for preventing snoring based on piezoelectric transducer |
| CN108618880A (en) * | 2018-04-13 | 2018-10-09 | 昆明理工大学 | It is a kind of that there is smart machine that is only intoxicated and preventing apnea from function occurs |
| CN109875313A (en) * | 2019-03-14 | 2019-06-14 | 深圳市弘楚源科技发展有限公司 | A kind of intelligent monitoring health care bed mattress |
-
2020
- 2020-09-18 CN CN202010988543.4A patent/CN112043489A/en active Pending
- 2020-09-18 CN CN202310040010.7A patent/CN116919706A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103251474A (en) * | 2013-04-13 | 2013-08-21 | 许彦斌 | Snore stopping pillow |
| CN204863622U (en) * | 2015-04-30 | 2015-12-16 | 深圳市前海安测信息技术有限公司 | A massaging apparatus for sleeping quality control |
| CN105919716A (en) * | 2016-05-18 | 2016-09-07 | 深圳市云传智联技术有限公司 | Sleeping posture regulating device and sleeping posture regulating system |
| CN206044806U (en) * | 2016-06-20 | 2017-03-29 | 深圳市量子慧智科技有限公司 | Device for preventing snoring based on piezoelectric transducer |
| CN108618880A (en) * | 2018-04-13 | 2018-10-09 | 昆明理工大学 | It is a kind of that there is smart machine that is only intoxicated and preventing apnea from function occurs |
| CN109875313A (en) * | 2019-03-14 | 2019-06-14 | 深圳市弘楚源科技发展有限公司 | A kind of intelligent monitoring health care bed mattress |
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| CN116919706A (en) | 2023-10-24 |
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