CN104739413B - A kind of sound of snoring detection method and system - Google Patents
A kind of sound of snoring detection method and system Download PDFInfo
- Publication number
- CN104739413B CN104739413B CN201510128686.7A CN201510128686A CN104739413B CN 104739413 B CN104739413 B CN 104739413B CN 201510128686 A CN201510128686 A CN 201510128686A CN 104739413 B CN104739413 B CN 104739413B
- Authority
- CN
- China
- Prior art keywords
- sound
- breathing
- snoring
- breath signal
- threshold value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Pulmonology (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Physiology (AREA)
- Physics & Mathematics (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a kind of sound of snoring detection method system, sound of snoring accuracy when overcoming the shortcomings of to detect sleep quality in the prior art is relatively low.This method includes：Breath signal is persistently detected at the gas outlet of lung ventilator；Breathing vibrations threshold value is obtained according to the vibration amplitude value for the breath signal being continuously detected；When the vibration amplitude value of the breath signal detected in the last time is more than the breathing vibrations threshold value, the breathing corresponding to breath signal that identification described the last time detects there occurs the sound of snoring.Embodiments of the invention reduce the accuracy realized difficulty and development cost, improve sound of snoring detection of equipment.
Description
Technical field
The present invention relates to human body respiration treatment technology, more particularly to a kind of sound of snoring detection method and system.
Background technology
Snore disease (medical terminology is sleep apnea syndrome, also known as snores or snores) is a kind of generally existing
Sleep phenomenon.Sound of snoring loudness is increased above more than 60 decibels (dB) after generally people is slept soundly, and hinders gas during eupnea
Exchange and be referred to as snore disease.It is different degrees of during slight snore disease is little to Health Impact, but 5% snore disease patient has sleep concurrently
Feel suffocated phenomenon, i.e., with the snore disease of sleep apnea, different degrees of anoxic can be caused.More serious snore disease is even more health
Formidable enemy.
Because snore disease can be such that sleep-respiratory suspends repeatedly, brain, blood severe depletion of oxygen are easily caused, hypoxemia is formed,
So as to induce the diseases such as hypertension, brain worry, arrhythmia cordis, myocardial infarction and angina pectoris.Easily to human body multiple systems, many
Organ is planted to damage.Snore Symptom in Children can also influence body and intelligence development.Night respiration time out was also easy to more than 120 seconds
Died suddenly in morning.
Snore disease and obstructive sleep apnea are two developing stage of Upper airway obstruction from light to heavy.It is generally acknowledged that having
50% snore disease patient can develop into obstructive sleep apnea.Research finds that Upper airway obstruction or ventilation can all not sent out freely
Raw snore disease and obstructive sleep apnea.
Continuous positive airway (Continuous Positive Airway Pressure, CPAP) is current obstruction
Property Sleep Apnea-hypopnea Syndrome (OSAHS) therapeutic modality in, override recommends the therapeutic modality that uses of patient.Its
Treatment principle is by providing patient's epithelium healing lasting positive airway pressure, the epithelium healing that patient collapses being strutted, so as to recover simultaneously
Ensure the ventilation of patient.For snore, disease patient is treated using CPAP, is not only a kind of effective therapeutic modality, and can be with
OSAHS is prevented trouble before it happens.
The existing mode for judging snore disease, mainly realizes, it is based on to each general breathing of human body by sound of snoring detection
Individually analyzed.I.e. in the exhalation process breathed each time, to being divided based on this time breathing detected signal
Analysis, and the sound of snoring detected value this time breathed.During respiration, the sound at mask is obtained using microphone
Overall noise signal in signal, i.e. air flue.After expiration section is entered, it will this time breathe and be divided into inspiratory limb and expiration section.To inhaling
The voice signal of gas section and expiration section uses T respectivelyinspAnd TexpBe filtered as time constant, respectively obtain inspiratory limb and
The sound of snoring signal of expiration section.
As shown in figure 1, the main flow of existing sound of snoring detection method, comprises the following steps.
Step S110, uses inspiratory duration constant TinspThe noise of inspiratory limb is filtered.
Step S120, uses expiratory duration constant TexpThe noise of expiration section is filtered.
Step S130, judges in expiration section, (air-breathing sound of snoring signal-expiration sound of snoring signal)>(expiration sound of snoring signal/threshold
The value factor) whether set up.If set up, go to step S140 and continue executing with；If invalid, return to step S110 is to continue
The noise filtering of inspiratory limb next time.
Step S140, obtains detecting the result of the sound of snoring, and records the sound of snoring value of this sound of snoring.
Step S150, for repeatedly breathing, is filtered to detected sound of snoring value, obtains average sound of snoring value.
Prior art shown in Fig. 1, it is believed that sound of snoring signal is equal to the inherent noise of the equipment such as the human body sound of snoring and lung ventilator, and
And think that human body snore disease only occurs in inspiratory limb, and the sound of snoring signal of expiration section is as being handled in equipment in noise.
On the one hand, above-mentioned prior art needs to use the equipment such as microphone to detect voice signal, it is necessary to by means of certain
Software and hardware, cost is higher, while being also easy to be influenceed by the noise of surrounding environment.On the other hand, prior art need with
Premised on can accurately distinguishing inspiratory limb and expiration section, in the event of irregular respiratory waveform, cause for inspiratory limb and
The false judgment of expiration section, the accuracy that can also influence the sound of snoring to detect.
The content of the invention
The technical problems to be solved by the invention are that sound of snoring when detecting sleep quality in the prior art to overcome is accurate
The relatively low deficiency of property.
In order to solve the above-mentioned technical problem, embodiments of the invention provide firstly a kind of sound of snoring detection method, including：
Breath signal is persistently detected at the gas outlet of lung ventilator；Obtained according to the vibration amplitude value for the breath signal being continuously detected
Breathing vibrations threshold value；The vibration amplitude value of the breath signal detected in the last time is more than the breathing vibrations threshold value
When, the breathing corresponding to breath signal that identification described the last time detects there occurs the sound of snoring.
Preferably, the breath signal includes voice signal, airflow signal or air pressure signal.
Preferably, breathing vibrations threshold value is obtained according to the vibration amplitude value for the breath signal being continuously detected, including：To exhaling
Inhale signal and carry out high-pass filtering；Calculate the sliding average of the breath signal after the high-pass filtering；For respiration, by height
Difference between the maximum of breath signal after pass filter and the sliding average, is used as the vibration amplitude of this breathing
Value；The breathing vibrations threshold value is obtained according to the vibration amplitude value repeatedly breathed.
Preferably, the breathing vibrations threshold value is obtained according to the vibration amplitude value repeatedly breathed, including：To what is repeatedly breathed
Vibration amplitude value carries out moving average, obtains amplitude average value；The breathing shake is obtained according to the amplitude average value repeatedly breathed
Dynamic threshold value.
Preferably, this method includes：The breathing corresponding to breath signal that described the last time detects there occurs the sound of snoring
When, bonus point is carried out to default sound of snoring event score；The breathing corresponding to breath signal that described the last time detects is not sent out
During the raw sound of snoring, deduction is carried out to the sound of snoring event score.
Preferably, this method includes：When the sound of snoring event score exceeds default first threshold value, exhaled described in rise
The treatment pressure of suction machine；When the sound of snoring event score is less than default second threshold value, the lung ventilator is maintained or reduced
Treatment pressure；Wherein, first threshold value is more than second threshold value.
Embodiments of the invention additionally provide a kind of sound of snoring detecting system, including：Detection module, is set in lung ventilator
Breath signal is persistently detected at gas outlet；Acquisition module, is set to the vibration amplitude value according to the breath signal being continuously detected
Obtain breathing vibrations threshold value；Judge module, is set to be more than institute in the vibration amplitude value of the last breath signal detected
When stating breathing vibrations threshold value, the breathing corresponding to breath signal that identification described the last time detects there occurs the sound of snoring.
Preferably, the acquisition module includes：Filter unit, is set to carry out high-pass filtering to breath signal；Calculate single
Member, is set to calculate the sliding average of the breath signal after the high-pass filtering；Acquiring unit, is set to for once exhaling
Inhale, by the difference between the maximum of the breath signal after high-pass filtering and the sliding average, be used as the shake of this breathing
Dynamic range value；And the breathing vibrations threshold value is obtained according to the vibration amplitude value repeatedly breathed.
Preferably, the system includes：Logging modle, is set to corresponding to the breath signal that described the last time detects
When breathing there occurs the sound of snoring, bonus point is carried out to default sound of snoring event score；And the breathing letter that described the last time detects
When the sound of snoring does not occur for the breathing corresponding to number, deduction is carried out to the sound of snoring event score.
Preferably, the system includes：Voltage regulating module, is set to when the sound of snoring event score exceeds default first thresholding
During value, the treatment pressure of the lung ventilator is raised；When the sound of snoring event score is less than default second threshold value, institute is reduced
State the treatment pressure of lung ventilator；Wherein, first threshold value is more than second threshold value.
Compared with prior art, embodiments of the invention persistently detect breath signal, it is not necessary to distinguish the inspiratory limb of breathing
With expiration section, reduce equipment realizes difficulty and development cost.Embodiments of the invention are by detecting at lung ventilator gas outlet
Breath signal change, to be made whether the judgement that there occurs sound of snoring event.Human body snore disease is generally believed compared with prior art
Occur over just inspiratory limb and using the sound of snoring of expiration section as noise of equipment, air-breathing of the embodiments of the invention to respiration
Section and expiration section are completely detected and considered, and significantly improve the accuracy of sound of snoring detection.
Embodiments of the invention can be directed to the pressure of user's adjust automatically lung ventilator of different degrees of snore disease, pointedly
Provide the user suitable treatment pressure.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
Obtain it is clear that or being understood by implementing technical scheme.The purpose of the present invention and other advantages can by
Specifically noted structure and/or flow are realized and obtained in specification, claims and accompanying drawing.
Brief description of the drawings
Accompanying drawing is used for providing further understanding technical scheme or prior art, and constitutes specification
A part.Wherein, the accompanying drawing of the expression embodiment of the present invention is used for the technical side for explaining the present invention together with embodiments of the present invention
Case, but do not constitute the limitation to technical solution of the present invention.
Fig. 1 is the schematic flow sheet of current sound of snoring detection method.
Fig. 2 is the schematic flow sheet of the sound of snoring detection method of the embodiment of the present invention.
Fig. 3 shows for the flow for obtaining breathing vibrations threshold value according to breath signal in the sound of snoring detection method of the embodiment of the present invention
It is intended to.
Fig. 4 is the structural representation of the sound of snoring detecting system of the embodiment of the present invention.
Fig. 5 for the embodiment of the present invention sound of snoring detecting system in acquisition module structural representation.
Embodiment
Describe embodiments of the present invention in detail below with reference to drawings and Examples, how the present invention is applied whereby
Technological means solves technical problem, and reaches the implementation process of relevant art effect and can fully understand and implement according to this.This hair
Each feature in bright embodiment and embodiment, can be combined with each other under the premise of not colliding, the technical scheme formed
Within protection scope of the present invention.
The step of method of embodiments of the invention shown by accompanying drawing is included be able to can hold in such as one group computer
Performed in the computer system of row instruction.And, although the method for embodiments of the invention shows that logic is suitable in flow charts
Sequence, but in some cases, the method for embodiments of the invention can also be shown to be performed different from order shown in the drawings
The step of going out or describe.
Fig. 2 shows the schematic flow sheet of the sound of snoring detection method of the embodiment of the present invention.As shown in Fig. 2 the snore of the present invention
The embodiment of sound detection method, mainly comprises the following steps.
Step S210, breath signal is persistently detected at the gas outlet of lung ventilator.Each breath signal correspondence is used should
The respiration of the user of lung ventilator.
Step S220, breathing vibrations threshold value is obtained according to the vibration amplitude value for the breath signal being continuously detected.
Step S230, when the vibration amplitude value of the breath signal detected in the last time is more than breathing vibrations threshold value,
The breathing corresponding to breath signal that the last time is detected is judged to there occurs the sound of snoring.
Embodiments of the invention, after detecting and there occurs a sound of snoring, perform step S210 to step again
S230 detection and judgement.
The present inventor's research is found, when snore disease patient snores, expiration sound can be produced in the exit of lung ventilator
Change, the change of gas pressure or the change of gas flow etc..Embodiments of the invention are held at the gas outlet of lung ventilator
Voice signal, air pressure signal or the airflow signal of continuous detection user breathing.Then basis is examined at the gas outlet of lung ventilator
Voice signal, air pressure signal or the airflow signal measured carries out the judgement whether user of lung ventilator snores.
Technical scheme can use pressure sensor in lung ventilator, to detect the gas at lung ventilator gas outlet
Body pressure.By detecting that obtained gas atmosphere signal carries out high-pass filtering to pressure sensor, obtained high-frequency signal can
To be considered sound of snoring signal.It is of course also possible to gather the sound at lung ventilator gas outlet using microphone, flow sensor etc.
Signal or airflow signal etc., then carry out corresponding high-pass filtering processing to the voice signal or air-flow that collect, can also
Obtain the breath signal of Unified Form.
In embodiments of the invention, breathing vibrations threshold value is obtained according to the breath signal being continuously detected, can be by such as
Flow shown in Fig. 3 is carried out.
Multiple breath signals in a period of time are carried out high-pass filtering by step S310.
The a period of time therein, expression is the period detected to breath signal, during with according to this
Between section obtain breathing vibrations threshold value.In actual applications, a period of time can persistently be transported after lung ventilator device power-up
Capable a period of time, or can also be a period since current time.
Step S320, calculates the sliding average of the breath signal after these high-pass filterings.
Step S330, for respiration, after this breathing terminates, by the maximum of the breath signal after high-pass filtering
Difference between the sliding average that is calculated, is used as the vibration amplitude value of this breathing.
Step S340, according to the vibration amplitude value repeatedly breathed, it is possible to obtain breathing vibrations threshold value.
Wherein, when calculating the sliding average of these breath signals, corresponding time window length could be arranged to 10 seconds
Or 20 seconds.Certainly, in order to improve accuracy, the length of time window is set to longer or shorter is also all possible.
And obtained according to the vibration amplitude value repeatedly breathed in breathing vibrations threshold value, embodiments of the invention, it is to multiple
The carry out moving average of the vibration amplitude value of breathing, the amplitude average value obtained according to the moving average, to obtain the breathing
Shake threshold value.The breathing vibrations threshold value obtained, can be for judging whether respiration there occurs sound of snoring event.Wherein, it is right
The carry out moving average of the vibration amplitude value repeatedly breathed, can be that continuous multiple respective vibration amplitude values of breathing are carried out
Moving average or the respective vibration amplitude value of multiple breathings in a continuous period carry out moving average.
For example, in one embodiment of the present of invention, moving average is carried out with the range value of 64 nearest breathings.Then,
/ 2nd of the amplitude average value that the moving average is obtained, threshold value is shaken as above-mentioned breathing.
After breathing vibrations threshold value is obtained, it is possible to shake threshold value according to the breathing obtained whether to judge follow-up breathing
It there occurs sound of snoring event.Such as, when the vibration amplitude value of the last breath signal detected is more than breathing vibrations threshold value,
It can be assumed that user there occurs the sound of snoring in the respiratory corresponding to the breath signal detected by the last time, namely
User snores in this time respiratory.Otherwise, it is possible to assert user in the breathing letter detected by the last time
Do not snored in respiratory corresponding to number.
The generation of sound of snoring event, often imply that the possibility of generation or the generation of apnea.It therefore, it can by adjusting
Regulation treats pressure come unobstructed, the generation of prevention apnea for the epithelium healing for maintaining user.
For breathing each time, if detected when there occurs the sound of snoring, bonus point just is carried out to default sound of snoring event score.
The sound of snoring is there occurs if do not detected, deduction just is carried out to the sound of snoring event score.Then, by persistently recording the sound of snoring
Event score, it is possible to which more suitable treatment pressure, specific aim are provided with the sound of snoring event score come the user for lung ventilator
Ground avoids the user of different snore disease degree from occurring apnea.
Assuming that the initial value of sound of snoring event score is 0.For first breath, detect that this breathing there occurs the sound of snoring, then
The sound of snoring event score value of this breathing is 1；Sound of snoring event score is updated using the score value 1.After first breath terminates,
Sound of snoring event score is updated to 1.For second wind, detect that this breathing also there occurs the sound of snoring, then the sound of snoring of this breathing
Event score value is 1；Sound of snoring event score is updated again using the score value 1.After second wind terminates, sound of snoring event is obtained
Divide and be updated to 2.For third time breathe, detect this time breathing without occur the sound of snoring, then the sound of snoring event score value of this breathing for-
1；It is updated again using -1 pair of sound of snoring event score of the score value.After third time breathing terminates, sound of snoring event score is updated to
1.By that analogy, by prolonged detection, it is possible to obtain with the sound of snoring event score of breathing real-time update.
When a period of time, the sound of snoring event score of accumulative gained exceeds default first threshold value (the adjustment upper limit), then shows
Under the Current therapeutic pressure of lung ventilator, the user of lung ventilator still there occurs more snoring, illustrate lung ventilator Current therapeutic pressure
It is also relatively low for the user, do not maintain the degree of mobility of user's epithelium healing effectively.Therefore, can be to exhaling under this situation
The treatment pressure of suction machine carries out the boosting adjustment of certain amplitude, improves the treatment pressure of lung ventilator, prevents the user from breathing
Pause.First threshold value such as can be 5 or 10.Certainly, it can show that the treatment pressure of lung ventilator currently using other
The numerical value for the treatment of pressure that is relatively low, needing appropriate rise lung ventilator is used as threshold value, also feasible.
If not occurring sound of snoring event in certain time length using the user of lung ventilator or occurring sound of snoring event
Breathing is seldom, illustrates that the treatment pressure of lung ventilator currently is not less than the optimum treatment pressure that needs are provided the user, currently
Treatment pressure has been able to effectively maintain the degree of mobility of user's epithelium healing, can effectively prevent user from occurring apnea.Dimension
The treatment pressure of lung ventilator currently, or the treatment pressure of appropriate reduction lung ventilator currently is held to improve user's autonomous respiration energy
Power, is all feasible.Therefore, when sound of snoring event score is less than default second threshold value, it is possible to suitably reduce lung ventilator
The treatment pressure provided.Certainly, first threshold value is more than second threshold value.Second threshold value such as can be -20
Or -30 etc..Certainly, using other can show that the treatment pressure of lung ventilator currently may it is higher, can suitably reduce and exhale
The numerical value of the treatment pressure of suction machine is used as threshold value, also feasible.
The sound of snoring detecting system that the present invention is provided, as shown in figure 4, mainly including detection module 410, acquisition module 420
And judge module 430.
Detection module 410, is set to persistently detect breath signal at the gas outlet of lung ventilator.Each breath signal pair
Answer respiration.
Acquisition module 420, is connected with detection module 410, is set to the vibrations width according to the breath signal being continuously detected
Angle value obtains breathing vibrations threshold value.
Judge module 430, is connected with acquisition module 420, is set to the vibrations of breath signal detected in the last time
When range value is more than breathing vibrations threshold value, assert that the breathing corresponding to the last breath signal detected there occurs the sound of snoring.
As shown in figure 5, the acquisition module 420 mainly includes filter unit 421, computing unit 422 and acquiring unit
423。
Filter unit 421, is connected with detection module 410, is set to carry out high-pass filtering to breath signal.
Computing unit 422, is connected with filter unit 421, and the slip for being set to calculate the breath signal after high-pass filtering is put down
Average.
Acquiring unit 423, is connected with computing unit 422 and judge module 430, is set to for respiration, by high pass
Difference between the maximum and sliding average of filtered breath signal, is used as the vibration amplitude value of this breathing；And root
Breathing vibrations threshold value is obtained according to the vibration amplitude value repeatedly breathed.
As shown in figure 4, the sound of snoring detecting system that the present invention is provided can also include logging modle 440, with judge module 430
It is connected, when being set to the breathing corresponding to the last breath signal detected and there occurs the sound of snoring, to default sound of snoring event
Score carries out bonus point；And the breathing corresponding to the last breath signal detected is not when occurring the sound of snoring, to sound of snoring event
Score carries out deduction.
As shown in figure 4, the sound of snoring detecting system that the present invention is provided can also include voltage regulating module 450, with logging modle 440
It is connected, is set to, when sound of snoring event score exceeds default first threshold value, raise the treatment pressure of lung ventilator；When sound of snoring thing
When part score is less than default second threshold value, the treatment pressure of lung ventilator is reduced；Wherein, the first threshold value is more than the second thresholding
Value.
Those skilled in the art should be understood that each part for the system that the above-mentioned embodiment of the present invention is provided,
And each step in method, they can be concentrated on single computing device, or are distributed in multiple computing device institutes group
Into network on.Alternatively, they can be realized with the executable program code of computing device.It is thus possible to which they are deposited
Storage performed in the storage device by computing device, either they are fabricated to respectively each integrated circuit modules or by it
In multiple modules or step single integrated circuit module is fabricated to realize.So, the present invention is not restricted to any specific
Hardware and software combine.
Although disclosed herein embodiment as above, described content is only to readily appreciate technical solution of the present invention
And the embodiment used, it is not limited to the present invention.Technical staff in any art of the present invention, is not departing from this
On the premise of the disclosed spirit and scope of invention, any modification and change can be carried out in the form and details of implementation,
But the scope of patent protection of the present invention, still should be subject to the scope of the claims as defined in the appended claims.
Claims (7)
1. a kind of sound of snoring detection method, including：
Breath signal is persistently detected at the gas outlet of lung ventilator；
Breathing vibrations threshold value is obtained according to the vibration amplitude value for the breath signal being continuously detected；
When the vibration amplitude value of the breath signal detected in the last time is more than the breathing vibrations threshold value, assert described
The breathing corresponding to breath signal that the last time detects there occurs the sound of snoring；
Wherein, breathing vibrations threshold value is obtained according to the vibration amplitude value for the breath signal being continuously detected, including：
High-pass filtering is carried out to breath signal；
Calculate the sliding average of the breath signal after the high-pass filtering；
For respiration, the difference between the maximum of the breath signal after high-pass filtering and the sliding average is made
For the vibration amplitude value of this breathing；
The breathing vibrations threshold value is obtained according to the vibration amplitude value repeatedly breathed.
2. according to the method described in claim 1, it is characterised in that：
The breath signal includes voice signal, airflow signal or air pressure signal.
3. according to the method described in claim 1, it is characterised in that the breathing is obtained according to the vibration amplitude value repeatedly breathed
Threshold value is shaken, including：
Moving average is carried out to the vibration amplitude value repeatedly breathed, amplitude average value is obtained；
The breathing vibrations threshold value is obtained according to the amplitude average value repeatedly breathed.
4. according to the method described in claim 1, it is characterised in that this method includes：
When the breathing corresponding to breath signal that described the last time detects there occurs the sound of snoring, to default sound of snoring event score
Carry out bonus point；
When the sound of snoring does not occur for the breathing corresponding to breath signal that described the last time detects, the sound of snoring event score is entered
Row deduction.
5. a kind of sound of snoring detecting system, including：
Detection module, is set to persistently detect breath signal at the gas outlet of lung ventilator；
Acquisition module, is set to obtain breathing vibrations threshold value according to the vibration amplitude value for the breath signal being continuously detected；
Judge module, the vibration amplitude value being set in the last breath signal detected is more than the breathing vibrations threshold value
When, the breathing corresponding to breath signal that identification described the last time detects there occurs the sound of snoring；
Wherein, the acquisition module includes：
Filter unit, is set to carry out high-pass filtering to breath signal；
Computing unit, is set to calculate the sliding average of the breath signal after the high-pass filtering；
Acquiring unit, is set to for respiration, by the maximum of the breath signal after high-pass filtering and the moving average
Difference between value, is used as the vibration amplitude value of this breathing；And the breathing is obtained according to the vibration amplitude value repeatedly breathed
Shake threshold value.
6. system according to claim 5, it is characterised in that the system includes：
Logging modle, when being set to the breathing corresponding to the breath signal that described the last time detects and there occurs the sound of snoring, to pre-
If sound of snoring event score carry out bonus point；And snore does not occur for the breathing corresponding to the breath signal that detects of described the last time
During sound, deduction is carried out to the sound of snoring event score.
7. system according to claim 6, it is characterised in that the system includes：
Voltage regulating module, is set to, when the sound of snoring event score exceeds default first threshold value, raise the lung ventilator
Treat pressure；When the sound of snoring event score is less than default second threshold value, the treatment pressure of the lung ventilator is reduced；
Wherein, first threshold value is more than second threshold value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510128686.7A CN104739413B (en) | 2015-03-23 | 2015-03-23 | A kind of sound of snoring detection method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510128686.7A CN104739413B (en) | 2015-03-23 | 2015-03-23 | A kind of sound of snoring detection method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104739413A CN104739413A (en) | 2015-07-01 |
| CN104739413B true CN104739413B (en) | 2017-09-26 |
Family
ID=53580077
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510128686.7A Active CN104739413B (en) | 2015-03-23 | 2015-03-23 | A kind of sound of snoring detection method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104739413B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105615884B (en) | 2016-03-17 | 2020-04-14 | 苏州泓乐智能科技有限公司 | Method and device for detecting snoring |
| CN107456211B (en) * | 2017-08-24 | 2020-07-31 | 深圳创达云睿智能科技有限公司 | Snore detection method, system and terminal equipment |
| CN107981844A (en) * | 2017-12-08 | 2018-05-04 | 绵眠（上海）智能科技有限公司 | A kind of sound of snoring recognition methods and system based on piezoelectric membrane |
| CN109984726A (en) * | 2018-01-03 | 2019-07-09 | 广州和普乐健康科技有限公司 | A kind of sound of snoring detection method |
| CN112107293B (en) * | 2020-08-11 | 2021-09-21 | 山东大学 | Snore monitoring system based on breathing parameters during sleep |
| CN112545851A (en) * | 2020-11-03 | 2021-03-26 | 未来穿戴技术有限公司 | Massage method and device, electronic device and computer readable storage medium |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005099798A1 (en) * | 2004-04-15 | 2005-10-27 | Resmed Limited | Snoring treatment apparatus and methods of managing snorers |
| CN101972505B (en) * | 2006-01-06 | 2013-07-31 | 雷斯梅德有限公司 | Computer controlled CPAP system with snore detection |
| CN100418468C (en) * | 2006-01-20 | 2008-09-17 | 浙江工业大学 | Constrain-free, imperceptible sleep disorder measuring device and its method |
| CN102186416B (en) * | 2008-10-16 | 2014-08-20 | 富士通株式会社 | Apnea detector |
| CN108114355A (en) * | 2012-04-13 | 2018-06-05 | 瑞思迈有限公司 | For the apparatus and method of ventilation therapy |
| JP5942566B2 (en) * | 2012-04-19 | 2016-06-29 | 富士通株式会社 | Apnea determination program, apnea determination apparatus, and apnea determination method |
| US20130281883A1 (en) * | 2012-04-19 | 2013-10-24 | Fujitsu Limited | Recording medium, apnea determining apparatus, and apnea determining method |
-
2015
- 2015-03-23 CN CN201510128686.7A patent/CN104739413B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN104739413A (en) | 2015-07-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104739413B (en) | A kind of sound of snoring detection method and system | |
| US11089994B2 (en) | Device to detect and treat apneas and hypopnea | |
| CN104302338B (en) | Apparatus and method for ventilation therapy | |
| JP4865229B2 (en) | Method and apparatus for maintaining and monitoring sleep quality during therapeutic treatment | |
| US9289566B2 (en) | System and method for automated titration of continuous positive airway pressure using an obstruction index | |
| US8794235B2 (en) | System and method for treating ventilatory instability | |
| JP3232092B2 (en) | Sleep disorder breathing control device | |
| US8366631B2 (en) | System and method for detecting respiratory events | |
| JP2018020166A (en) | Automated control for detection of flow limitation | |
| JP2010104814A (en) | Method and apparatus for maintaining and monitoring sleep quality during therapeutic treatment | |
| US20040225226A1 (en) | System and method for detecting the onset of an obstructive sleep apnea event | |
| US20100163043A1 (en) | Self-contained oral ventilation device | |
| CN107106800A (en) | The method and apparatus for treating hyperarousal illness | |
| JP5739863B2 (en) | System and method for regulating the breathing volume of a spontaneous breathing subject | |
| CN101448539A (en) | Ventilatory control system | |
| WO2012095813A1 (en) | Method and system for the delivery of carbon dioxide to a patient | |
| AU2005251726A1 (en) | System and method for automated titration of continuous positive airway pressure | |
| CN110464944B (en) | Control method and device of breathing machine and breathing machine | |
| CN103221086A (en) | Obesity hypoventilation syndrome treatment system and method | |
| US20190344005A1 (en) | System for CO2 Removal | |
| CN109222978A (en) | A kind of respiratory effort detection method | |
| CN109045429A (en) | Pregnant woman's ventilation control method, device, ventilator, system and storage medium | |
| CN108290019B (en) | Method and apparatus for treating ataxic breathing | |
| Spießhöfer et al. | Respiratory effects of adaptive servoventilation therapy in patients with heart failure and Cheyne-Stokes respiration compared to healthy volunteers | |
| US20220409834A1 (en) | System and Method for Automated Titration of Continuous Positive Airway Pressure Using an Obstruction Index |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP01 | Change in the name or title of a patent holder |
Address after: 100043, five main floor, 19 West Street, Shijingshan District, Beijing. Patentee after: Beijing Ka Yip Yee medical Polytron Technologies Inc Address before: 100043, five main floor, 19 West Street, Shijingshan District, Beijing. Patentee before: Beijing delightful harmony Jia Ye medical science and technology company limited |
|
| CP01 | Change in the name or title of a patent holder |