CN110742720A

CN110742720A - Electronic snore stopper

Info

Publication number: CN110742720A
Application number: CN201910985937.1A
Authority: CN
Inventors: 王丰; 林倩芸; 熊英杰
Original assignee: Studio Of Acoustic Technology Shanghai
Current assignee: Studio Of Acoustic Technology Shanghai
Priority date: 2019-10-17
Filing date: 2019-10-17
Publication date: 2020-02-04
Anticipated expiration: 2039-10-17
Also published as: CN110742720B

Abstract

Disclosed is an electronic snore stopper, comprising: the audio sampler is used for collecting sound signals and converting the collected sound signals into electric signals; an audio signal gain amplifier for amplifying the electrical signal; the central controller comprises an audio identification module and a white noise generation module, wherein the audio identification module is used for identifying the amplified electric signal and determining first snore; the white noise generation module is used for determining white noise according to the first snore; the audio signal transmitter is used for converting the white noise signal into a vibration signal and transmitting the vibration signal; and the self-adaptive regulator is used for regulating the white noise according to the collected sound signal after the vibration signal is sent. The snoring frequency of the patient is reduced, the sleeping quality is greatly improved, the apnea phenomenon is reduced, and the suspension contraction force is enhanced.

Description

Electronic snore stopper

Technical Field

The invention relates to a snore stopping device, in particular to an electronic snore stopping device capable of being adjusted in a self-adaptive mode.

Background

Snoring refers to the sound of snoring caused by the vibration of the uvula (uvula) due to upper airway stenosis during sleep. Snoring may be caused by tonsil hypertrophy, tongue enlargement, excessive drinking, and the like. Snoring can lead to daytime sleepiness, weakness, inattention, headache, decreased working ability, etc. Snoring is an independent risk factor for hypertension, and severe snoring is often accompanied by sleep apnea syndrome.

At present, surgical treatment, laser treatment and drug treatment are mainly adopted as methods for treating snoring during sleep, but practice proves that the methods are not obvious in curative effect, and the bolete can be reacted and certain harm and side effects can be caused to a human body after a period of time.

At present, three methods for treating snoring are generally adopted in the medical field:

continuous Positive Airway Pressure (CPAP) in which air is infused directly into the patient using a respiratory mask;

second, uvula soft palate throat reshaping (UPPP), cutting to remove the soft palate and uvula to reduce the occlusion of the tongue;

third, a Mandible Advancer (MAD), an appliance made by a dental method, causes the mandible to bite in a forward extending position. The CPAP has the most obvious effects of improving apnea and oxygen content, but many people cannot bear the sleep feeling, cover a breathing mask on the face and carry an inflator when going out for a trip; UPPP seems to be once and for all, but many research reports show improvements of only fifty percent, and possibly recurrence; although the improvement in using MADs can be as much as seventy percent, it is uncomfortable to bite the MAD while sleeping, and if the shape and size of the MAD are not designed for an individual, it can cause gum soreness and problems with the jaw joints and muscles.

The electronic snore stopper has an intelligent snore recognition function and automatically adjusts the physical treatment strength of the chip on an appointed acupuncture point, so that the tension of the overhung muscles of the throat of a patient is promoted to change, the originally blocked respiratory tract is recovered to be smooth, the most comfortable breathing effect is achieved, and the electronic snore stopper almost immediately takes effect.

Nowadays, electronic snore relieving devices are mainly divided into: wrist type and ear type.

The principle of the wrist type snore stopper is that when a organism micro-detector in a machine body detects that the snore of a user exceeds 65 decibels for three times continuously, the machine body outputs a weak electric pulse with the length of 4 seconds to stimulate the skin of the user, and the stimulation enables the user to generate the following reflecting behaviors, thereby achieving the purpose of reducing or inhibiting the snore. The technology is possibly influenced by sounds other than the snore, the circuit lacks of distinguishing the snore from the noise, for example, when noise and dream sound exist outside, misoperation can be avoided, false alarm exists, the circuit is easy to cause false triggering, an electric stimulus is generated for a user, the pulse voltage stimulates the patient to feel that the patient feels acupuncturing pain, the sleep quality of the patient can be influenced, the user is forced to wake up from deep sleep, the snore is small, but the sleep quality is reduced; when the snore detector is worn on a hand, the snore detection is possibly influenced by being shielded by a quilt or other objects, so that the detection is inaccurate.

The ear-worn snore stopper detects whether snoring occurs by combining a bone conduction technology, sound discrimination and the like, and realizes the snore stopping by adopting a pure physical intervention principle of micro sound and micro vibration, and has the defects that the sleep is interfered by adopting a vibration mode, and the sleep quality is reduced; the in-ear type interferes with the user's sleep hearing.

Disclosure of Invention

The invention provides an electronic snore stopper, which comprises: the audio sampler is used for collecting sound signals and converting the collected sound signals into electric signals; an audio signal gain amplifier for amplifying the electrical signal; the central controller comprises an audio identification module and a white noise generation module, wherein the audio identification module is used for identifying the amplified electric signal and determining first snore; the white noise generation module is used for determining white noise according to the first snore; the audio signal transmitter is used for converting the white noise signal into a vibration signal and transmitting the vibration signal; and the self-adaptive regulator is used for regulating the white noise according to the collected sound signal after the vibration signal is sent.

Preferably, the electronic snore stopper further comprises: the central controller is respectively connected with the audio signal gain amplifier, the self-adaptive regulator, the audio signal emitter, the control button, the display screen, the memory and the power supply.

Preferably, the audio sampler comprises a bone conduction collector and the audio signal transmitter comprises a bone conduction transmitter.

Preferably, the identifying the amplified electrical signal and the determining the first snore includes: clipping and screening the amplified electric signals; matching the clipped and screened result with a sample library to determine the first snore.

Preferably, said determining white noise according to said snoring comprises: identifying the lowest audio frequency and the highest audio frequency of the snore; and determining white noise according to the lowest audio frequency, the highest audio frequency and a preset audio element.

Preferably, the determining white noise according to the lowest audio frequency, the highest audio frequency and the preset other audio elements includes: setting the lowest audio frequency to a starting frequency of the white noise; setting the highest audio frequency to a cutoff frequency of the white noise; and determining the white noise according to the initial frequency of the white noise, the cut-off frequency of the white noise and the preset audio element.

Preferably, the adjusting the white noise according to the re-collected sound signal includes: identifying a second snore sound from the re-acquired sound signal; judging the volume of the second snore and the first snore; and when the second snore volume is smaller than the first snore volume, reducing the cut-off frequency of the white noise.

Preferably, the adjusting the white noise according to the re-collected sound signal further includes: and when the second snore volume is smaller than the first snore volume, reducing the initial frequency of the white noise.

The beneficial effects brought by the technical scheme of the invention comprise the following aspects:

1. this technique filters the sound of gathering when the audio frequency passes through the audio sampler, plays filterable effect to sound wave analog signal, has got rid of the noise, and after digit/analog signal converter converted analog signal into digital signal, filter sound wave digital signal again, enlargies through the secondary and makes sound signal purer, facilitates for the judgement of later stage sound.

2. The technology collects the snore through the audio collector and sends the snore to the central control chip to process the snore, and the snore stopping device has a better snore stopping effect.

3. Solves the problem of the sleep of the snorer (reduces the snore frequency of the snorer, reduces the audio frequency of the snorer, greatly improves the sleep quality) and solves the problem of the body health (reduces the apnea phenomenon and enhances the suspension contraction force).

4. The white noise processed by the method relaxes the spirit and has the effect of helping sleep.

Drawings

Fig. 1 is a first structural diagram of an electronic snore relieving device.

Fig. 2 is a second structure diagram of the electronic snore stopping device.

Detailed Description

To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention.

Referring to fig. 1-2, the electronic snore stopper provided in the embodiment of the present invention is worn on a jaw bone part of a face, and includes an audio sampler, a central controller, an audio signal transmitter, an adaptive regulator, a control button, a display screen, a memory, and a power supply. The central controller is respectively connected with the audio signal gain amplifier, the self-adaptive regulator, the audio signal emitter, the control button, the display screen, the memory and the power supply. The audio sampler and the audio signal transmitter are both positioned on the machine body close to the jaw bone beside the ear. The audio sampler is used for collecting sound signals and converting the collected sound signals into electric signals; an audio signal gain amplifier for amplifying the electrical signal; the central controller comprises an audio identification module and a white noise generation module, wherein the audio identification module is used for identifying the amplified electric signal and determining first snore; the white noise generation module is used for determining white noise according to the first snore; the audio signal transmitter is used for converting the white noise signal into a vibration signal and transmitting the vibration signal; and the self-adaptive regulator is used for regulating the white noise according to the collected sound signal after the vibration signal is sent. White noise is noise with a uniform and continuous spectrum, and has the function of covering other sounds, and white noise generated by compiling has the function of covering other sounds to assist sleep.

In one example, the audio sampler comprises a bone conduction collector and the audio signal transmitter comprises a bone conduction transmitter. Bone conduction refers to the transmission of sound waves through the vibration of the skull, jaw bone, etc., e.g., a bone conduction transmitter transmits sound waves to the inner ear through the vibration of the skull, jaw bone, etc. In addition, the audio sampler may also employ a conventional microphone and the audio signal emitter may also employ a conventional speaker.

In one example, the method for identifying the amplified electrical signal and determining the first snore specifically includes frequency identifying the amplified electrical signal, where the sound frequency of a person is 85Hz to 200Hz, if the collected sound frequency does not belong to the range, the central controller considers that the sound frequency is not the sound of the person, and determines that the sound frequency is false triggering, the central controller discards the audio data, and if the sound frequency belongs to the range, determines that the section of audio data is likely to be snore, and filters the sound frequency of the section of audio data exceeding the range of 85Hz to 200Hz, so as to filter out the environmental noise. Because snore is generally regular audio and other sounds are irregular sounds, the audio data which may be the snore can be edited and screened, the edited and screened result is matched with the sample library, and the first snore can be effectively analyzed. In addition, a neural network model can be trained, and the first snore can be directly identified through the trained neural network model.

In one example, the specific method for determining white noise according to the snore comprises the following steps: identifying the lowest audio frequency and the highest audio frequency of the snore; and determining white noise according to the lowest audio frequency, the highest audio frequency and a preset audio element.

The preset audio elements are audio segments which assist sleeping or calm people, such as segments of classical music, or flowing water and insect singing. The high frequency signal is too strong to stimulate the brain, so that the person is excited and is difficult to fall asleep. On the contrary, the sound frequency of the low-frequency signal is low, so that the brain is immersed, the hypnotic effect is achieved, and people can fall asleep easily. In the state of falling asleep, the low-frequency sound does not interfere the sleep, but is matched with the brain wave scanning period of the cerebral cortex in the static state, namely the state that the brain does not think, resonance is formed, the brain wave frequency value is stable, and the sleep quality is high. On the contrary, if the body noise is around, the audio frequency is disturbed and is higher than the scanning frequency of the brain wave in the sleeping state, the brain wave frequency value is undoubtedly disturbed, and once the frequency exceeds the normal frequency value range, the brain can recover the excitation state, so that the person is in the sleeping-like non-sleeping state, and the sleeping quality is greatly reduced. By using the principle, white noise is determined according to the lowest audio frequency, the highest audio frequency and preset audio elements, and high-frequency signals in the synthesized white noise can enable a person to be in a proper excited state, so that snoring does not occur.

In one example, determining white noise according to the lowest audio frequency, the highest audio frequency and other preset audio elements comprises: setting the lowest audio frequency to a starting frequency of the white noise; setting the highest audio frequency to a cutoff frequency of the white noise; and determining the white noise according to the initial frequency of the white noise, the cut-off frequency of the white noise and the preset audio element. Further, the lowest audio frequency multiplied by a predetermined coefficient may be set as the start frequency of the white noise; setting the cut-off frequency of the white noise by multiplying the maximum audio frequency by a predetermined coefficient; and determining the white noise according to the initial frequency of the white noise, the cut-off frequency of the white noise and the preset audio element.

In one example, the adjusting the white noise according to the re-collected sound signal includes: identifying a second snore sound from the re-acquired sound signal; judging the volume of the second snore and the first snore; and when the second snore volume is smaller than the first snore volume, reducing the cut-off frequency of the white noise. The high-frequency signal is added in the white noise frequency synthesized when a user snores, so that the user temporarily reduces a bit of sleep depth, and the throat muscle relaxed by the user recovers a bit of tension, so as to stop snoring. After the self-adaptive adjustment is carried out for a period of time, white noise which is most suitable for the user can be synthesized, so that the snore can be relieved, and the sleep quality of the user can be ensured to the maximum extent.

In one example, said adjusting said white noise according to the re-collected sound signal further comprises: and when the second snore volume is smaller than the first snore volume, reducing the initial frequency of the white noise. By reducing the initial frequency of the white noise, the frequency of the low-frequency signal can be increased, and the proportion of the high-frequency signal is reduced, so that the sleep quality of a user is improved.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims

1. An electronic snore stopper, characterized in that the electronic snore stopper comprises:

the audio sampler is used for collecting sound signals and converting the collected sound signals into electric signals;

an audio signal gain amplifier for amplifying the electrical signal;

the central controller comprises an audio identification module and a white noise generation module, wherein the audio identification module is used for identifying the amplified electric signal and determining first snore; the white noise generation module is used for determining white noise according to the first snore;

the audio signal transmitter is used for converting the white noise signal into a vibration signal and transmitting the vibration signal;

and the self-adaptive regulator is used for regulating the white noise according to the collected sound signal after the vibration signal is sent.

2. The electronic snore stopper of claim 1, wherein the electronic snore stopper further comprises: the central controller is respectively connected with the audio signal gain amplifier, the self-adaptive regulator, the audio signal emitter, the control button, the display screen, the memory and the power supply.

3. The electronic snore stopper of claim 1, wherein the audio sampler comprises a bone conduction collector and the audio signal emitter comprises a bone conduction transmitter.

4. The electronic snore stopper of claim 1, wherein said identifying the amplified electrical signal and determining the first snore includes:

clipping and screening the amplified electric signals;

matching the clipped and screened result with a sample library to determine the first snore.

5. The electronic snore stopper of claim 1, wherein said determining white noise based on said snore comprises:

identifying the lowest audio frequency and the highest audio frequency of the snore;

and determining white noise according to the lowest audio frequency, the highest audio frequency and a preset audio element.

6. The electronic snore stopper of claim 5, wherein determining white noise based on the bass frequency, and a preset other audio element comprises:

setting the lowest audio frequency to a starting frequency of the white noise;

setting the highest audio frequency to a cutoff frequency of the white noise;

and determining the white noise according to the initial frequency of the white noise, the cut-off frequency of the white noise and the preset audio element.

7. The electronic snore stopper of claim 6, wherein said adjusting the white noise based on the reacquired sound signal comprises:

identifying a second snore sound from the re-acquired sound signal;

judging the volume of the second snore and the first snore;

and when the second snore volume is smaller than the first snore volume, reducing the cut-off frequency of the white noise.

8. The electronic snore stopper of claim 7, wherein said adjusting the white noise based on the reacquired sound signal further comprises:

and when the second snore volume is smaller than the first snore volume, reducing the initial frequency of the white noise.