CN104739413A - Snore detecting method and system - Google Patents
Snore detecting method and system Download PDFInfo
- Publication number
- CN104739413A CN104739413A CN201510128686.7A CN201510128686A CN104739413A CN 104739413 A CN104739413 A CN 104739413A CN 201510128686 A CN201510128686 A CN 201510128686A CN 104739413 A CN104739413 A CN 104739413A
- Authority
- CN
- China
- Prior art keywords
- breathing
- sound
- snoring
- threshold value
- breath signal
- 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.)
- Granted
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 snore detecting method and system. The snore detecting method and system overcome the defect that in the prior art, the accuracy of detection of snores generated when people sleep is low. The snore detecting method comprises the steps that breathing signals are detected continuously at the position of an air outlet of a breathing machine; a breathing vibration threshold value is obtained according to the vibration amplitude values of the continuously-detected breathing signals; when the vibration amplitude value of the breathing signal detected mostrecently is larger than the breathing vibration threshold value, it is confirmed that snores are generated during breathing corresponding to the breathing signal detected most recently. According to the snore detecting method and system, equipment obtaining difficulty is lowered, development cost is reduced, and snore detection accuracy is improved.
Description
Technical field
The present invention relates to human body respiration treatment technology, particularly relate to a kind of sound of snoring detection method and system.
Background technology
Snoring (medical terminology is sleep apnea syndrome, is also called snoring or snores) is a kind of ubiquitous sleep phenomenon.Usually after people being slept soundly, sound of snoring loudness increases above more than 60 decibels (dB), hinders gas exchange during eupnea to be called snoring.Slight snoring is little to Health Impact, but 5% snoring patient to have between sleep period phenomenon of feeling suffocated in various degree concurrently, namely with the snoring of sleep apnea, can cause anoxia in various degree.The formidable enemy of more serious snoring health especially.
Because snoring can make sleep-respiratory repeatedly suspend, easily cause brain, blood severe depletion of oxygen, form hypoxemia, thus bring out the diseases such as hypertension, brain cardiopathia, arrhythmia, myocardial infarction and angina pectoris.Easily human body multiple systems, multiple organ are damaged.Snore Symptom in Children also can affect health and intelligent development.Night respiration time out is also easy more than 120 seconds died suddenly in morning.
Snoring and obstructive sleep apnea are Upper airway obstruction two developmental stage from light to heavy.It is generally acknowledged that the snoring patient of 50% can develop into obstructive sleep apnea.Research finds, Upper airway obstruction or ventilation freely all snoring and obstructive sleep apnea can not occur.
Continuous positive airway (Continuous Positive Airway Pressure, CPAP) be current obstruction sleep apnea-hypopnea syndrome (OSAHS) therapeutic modality in, override recommend patient use therapeutic modality.Its treatment principle is by providing lasting positive airway pressure to patient's epithelium healing, struts the epithelium healing that patient is subsided, thus recovers and ensure the ventilation of patient.Use CPAP to treat for snoring patient, be not only a kind of effective therapeutic modality, and can prevent trouble before it happens to OSAHS.
The mode of existing judgement snoring, is mainly detected by the sound of snoring and realizes, and it is analyzed separately based on to each general breathing of human body.Namely, in the exhalation process of breathing each time, analyze based on this time breathing detected signal, and the sound of snoring detected value this time breathed.In the process of respiration, mike is used to obtain the acoustical signal at face shield place, the overall noise signal namely in air flue.After entering expiration section, this time will breathe and be divided into inspiratory limb and expiration section.Respectively T is used to the acoustical signal of inspiratory limb and expiration section
inspand T
expcarry out filtering as time constant, obtain the sound of snoring signal of inspiratory limb and expiration section respectively.
As shown in Figure 1, the main flow of existing sound of snoring detection method, comprises the steps.
Step S110, uses inspiratory duration constant T
inspfiltering is carried out to the noise of inspiratory limb.
Step S120, uses expiratory duration constant T
expfiltering is carried out to the noise of expiration section.
Step S130, judges when expiration section, and whether (air-breathing sound of snoring signal-expiration sound of snoring signal) > (expiration sound of snoring signal/threshold factor) is set up.If set up, then go to step S140 and continue to perform; If be false, then return step S110 to continue the noise filtering of inspiratory limb next time.
Step S140, obtains the result sound of snoring being detected, and records the sound of snoring value of this sound of snoring.
Step S150, for repeatedly breathing, carrying out filtering to detected sound of snoring value, obtaining average sound of snoring value.
Prior art shown in Fig. 1, thinks that sound of snoring signal equals the inherent noise of the equipment such as the human body sound of snoring and respirator, and thinks that human body snoring only occurs in inspiratory limb, and the sound of snoring signal of the section of expiration processes as the inherent noise of equipment.
On the one hand, above-mentioned prior art needs to use the equipment such as mike to detect acoustical signal, and need by means of certain software and hardware, cost is higher, is also easily subject to the effect of noise of surrounding simultaneously.On the other hand, prior art needs can accurately distinguish premised on inspiratory limb and expiration section, in the event of irregular respiratory waveform, causes the false judgment for inspiratory limb and expiration section, also can affect the accuracy that the sound of snoring detects.
Summary of the invention
Technical problem to be solved by this invention is in order to the lower deficiency of sound of snoring accuracy when overcoming human body sleep in prior art.
In order to solve the problems of the technologies described above, embodiments of the invention provide firstly a kind of sound of snoring detection method, comprising: continue at the gas outlet place of respirator to detect breath signal; Obtain according to the vibration amplitude value of the described breath signal continuing to detect and breathe vibrations threshold value; When the vibration amplitude value of the described breath signal detected in the last time is greater than described breathing vibrations threshold value, assert that the breathing corresponding to the breath signal that described the last time detects there occurs the sound of snoring.
Preferably, described breath signal comprises acoustical signal, airflow signal or air pressure signal.
Preferably, obtain according to the vibration amplitude value of the breath signal continuing to detect and breathe vibrations threshold value, comprising: high-pass filtering is carried out to breath signal; Calculate the sliding average of the breath signal after described high-pass filtering; For respiration, by the difference between the maximum of the breath signal after high-pass filtering and described sliding average, as the vibration amplitude value of this breathing; Described breathing vibrations threshold value is obtained according to the vibration amplitude value of repeatedly breathing.
Preferably, obtain described breathing vibrations threshold value according to the vibration amplitude value of repeatedly breathing, comprising: moving average is carried out to the vibration amplitude value of repeatedly breathing, obtain amplitude average value; Described breathing vibrations threshold value is obtained according to the amplitude average value repeatedly breathed.
Preferably, the method comprises: when the breathing corresponding to the breath signal that described the last time detects there occurs the sound of snoring, carries out bonus point to the sound of snoring event score preset; When the sound of snoring does not occur in breathing corresponding to the breath signal that described the last time detects, deduction is carried out to described sound of snoring event score.
Preferably, the method comprises: when described sound of snoring event score exceeds the first default threshold value, raise the treatment pressure of described respirator; When described sound of snoring event score is lower than the second threshold value preset, maintain or reduce the treatment pressure of described respirator; Wherein, described first threshold value is greater than described second threshold value.
Embodiments of the invention additionally provide a kind of sound of snoring detection system, comprising: detection module, are set to continue at the gas outlet place of respirator to detect breath signal; Acquisition module, is set to obtain according to the vibration amplitude value continuing the breath signal detected breathe vibrations threshold value; Judge module, when the vibration amplitude value being set to the breath signal detected in the last time is greater than described breathing vibrations threshold value, assert that the breathing corresponding to the breath signal that described the last time detects there occurs the sound of snoring.
Preferably, described acquisition module comprises: filter unit, is set to carry out high-pass filtering to breath signal; Computing unit, is set to the sliding average of the breath signal after calculating described high-pass filtering; Acquiring unit, is set to for respiration, by the difference between the maximum of the breath signal after high-pass filtering and described sliding average, as the vibration amplitude value of this breathing; And obtain described breathing vibrations threshold value according to the vibration amplitude value of repeatedly breathing.
Preferably, this system comprises: logging modle, is set to the breathing corresponding to breath signal that described the last time detects when there occurs the sound of snoring, carries out bonus point to the sound of snoring event score preset; And the breathing corresponding to breath signal that detects of described the last time is not when the sound of snoring occurs, deduction is carried out to described sound of snoring event score.
Preferably, this system comprises: voltage regulating module, is set to, when described sound of snoring event score exceeds the first default threshold value, raise the treatment pressure of described respirator; When described sound of snoring event score is lower than the second threshold value preset, reduce the treatment pressure of described respirator; Wherein, described first threshold value is greater than described second threshold value.
Compared with prior art, embodiments of the invention continue to detect breath signal, and do not need inspiratory limb and the expiration section of distinguishing breathing, what reduce equipment realizes difficulty and development cost.Embodiments of the invention, by detecting the change of the breath signal at respirator gas outlet place, carry out the judgement that whether there occurs sound of snoring event.Human body snoring is generally believed to occur over just inspiratory limb compared to existing technology and using the sound of snoring of expiration section as noise of equipment, embodiments of the invention carry out complete detection to the inspiratory limb of respiration and expiration section and consider, and significantly improve the accuracy that the sound of snoring detects.
Embodiments of the invention can adjust the pressure of respirator automatically for the user of snoring in various degree, pointedly for user provides suitable treatment pressure.
Other features and advantages of the present invention will be set forth in the following description, and, partly become apparent from description, or understand by implementing technical scheme of the present invention.Object of the present invention and other advantages realize by structure specifically noted in description, claims and accompanying drawing and/or flow process and obtain.
Accompanying drawing explanation
Accompanying drawing is used to provide the further understanding to technical scheme of the present invention or prior art, and forms a part for description.Wherein, express the accompanying drawing of the embodiment of the present invention together with embodiments of the present invention for explaining technical scheme of the present invention, but do not form the restriction 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 obtains according to breath signal the schematic flow sheet breathing vibrations threshold value in the sound of snoring detection method of the embodiment of the present invention.
Fig. 4 is the structural representation of the sound of snoring detection system of the embodiment of the present invention.
Fig. 5 is the structural representation of acquisition module in the sound of snoring detection system of the embodiment of the present invention.
Detailed description of the invention
Describe embodiments of the present invention in detail below with reference to drawings and Examples, to the present invention, how application technology means solve technical problem whereby, and the implementation procedure reaching relevant art effect can fully understand and implement according to this.Each feature in the embodiment of the present invention and embodiment, can be combined with each other under prerequisite of not conflicting mutually, the technical scheme formed is all within protection scope of the present invention.
The step that the method for the embodiments of the invention shown by accompanying drawing comprises can perform in the computer system of such as one group of computer executable instructions.Further, although the method for embodiments of the invention shows logical order in flow charts, in some cases, the method for embodiments of the invention also can be different from the step shown or described by order shown in the drawings execution.
Fig. 2 shows the schematic flow sheet of the sound of snoring detection method of the embodiment of the present invention.As shown in Figure 2, this embodiment of sound of snoring detection method of the present invention, mainly comprises the steps.
Step S210, continues at the gas outlet place of respirator to detect breath signal.Each breath signal correspondence uses the respiration of the user of this respirator.
Step S220, obtains according to the vibration amplitude value of the breath signal continuing to detect and breathes vibrations threshold value.
Step S230, when the vibration amplitude value of the breath signal detected in the last time is greater than this breathing vibrations threshold value, the breathing corresponding to the breath signal detect this last time is judged to there occurs the sound of snoring.
Embodiments of the invention, after detecting and there occurs a sound of snoring, perform detection and the judgement of step S210 to step S230 again.
The present inventor studies discovery, when snoring patient snores, can produce the change etc. of the change of expiration sound, the change of gas pressure or gas flow in the exit of respirator.Embodiments of the invention continue acoustical signal, air pressure signal or the airflow signal that detection user breathes at the gas outlet place of respirator.The judgement whether user then carrying out respirator according to the acoustical signal, air pressure signal or the airflow signal that detect at the gas outlet place of respirator snores.
Technical scheme of the present invention can use pressure transducer in respirator, to detect the gas pressure at respirator gas outlet place.Carry out high-pass filtering by detecting to pressure transducer the gas atmosphere signal obtained, the high-frequency signal obtained just can think sound of snoring signal.Certainly, also mike, flow transducer etc. can be used gather the acoustical signal or airflow signal etc. at respirator gas outlet place, then corresponding high-pass filtering process is carried out to the acoustical signal collected or air-flow, also can obtain the breath signal of Unified Form.
In embodiments of the invention, obtain according to the breath signal continuing to detect and breathe vibrations threshold value, can be undertaken by flow process as shown in Figure 3.
Step S310, carries out high-pass filtering to the multiple breath signals in a period of time.
This period of time wherein, expression be the time period that breath signal is detected, with according to this time period obtain breathe vibrations threshold value.In actual applications, this period of time can be such as a period of time of continuous service after respirator device power-up, or also can be a time period from 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 difference between the maximum of the breath signal after high-pass filtering and the sliding average calculated, as the vibration amplitude value of this breathing.
Step S340, according to the vibration amplitude value of repeatedly breathing, just can obtain this breathing vibrations threshold value.
Wherein, when calculating the sliding average of these breath signals, corresponding time window length can be set to 10 seconds or 20 seconds.Certainly, in order to improve accuracy, the length of time window is set to more to grow or is shortlyer also all fine.
And obtain breathing vibrations threshold value according to the vibration amplitude value of repeatedly breathing, in embodiments of the invention, be the moving average of carrying out to the vibration amplitude value of repeatedly breathing, according to the amplitude average value that this moving average obtains, obtain this breathing vibrations threshold value.The breathing vibrations threshold value obtained, can be used for judging whether respiration there occurs sound of snoring event.Wherein, carry out moving average to the vibration amplitude value of repeatedly breathing, can be carry out moving average to the multiple breathing of continuous print vibration amplitude value separately, also can be that the multiple breathings vibration amplitude value separately in the continuous print time period carries out moving average.
Such as, in one embodiment of the present of invention, the range value breathed with nearest 64 carries out moving average.Then, by 1/2nd of the amplitude average value that this moving average obtains, as above-mentioned breathing vibrations threshold value.
After vibrations threshold value is breathed in acquisition, just can judge whether follow-up breathing there occurs sound of snoring event according to obtained breathing vibrations threshold value.Such as, when the vibration amplitude value of the breath signal that the last time detects is greater than this breathing vibrations threshold value, namely just can assert that user there occurs the sound of snoring in the respiratory corresponding to the breath signal detected by this last time, also user has snored in this time respiratory.Otherwise, just can assert user's not snoring in the respiratory corresponding to the breath signal detected by this last time.
The generation of sound of snoring event, often imply that the probability of apneic generation or generation.Therefore, the unobstructed of the epithelium healing of user can be maintained by adjustment treatment pressure, prevent apneic generation.
For breathing each time, if detect when there occurs the sound of snoring, just bonus point is carried out to the sound of snoring event score preset.If do not detect and there occurs the sound of snoring, just deduction is carried out to described sound of snoring event score.Then, by continuing to record this sound of snoring event score, more suitable treatment pressure just can be provided with the user that this sound of snoring event score is respirator, avoid the user of different snoring degree that asphyxia occurs pointedly.
Suppose that the initial value of sound of snoring event score is 0.For first breath, detect this breathing and there occurs the sound of snoring, then the sound of snoring event score value of this breathing is 1; This score value 1 pair of sound of snoring event score is adopted to upgrade.After first breath terminates, sound of snoring event score is updated to 1.For second wind, detect this breathing and also there occurs the sound of snoring, then the sound of snoring event score value of this breathing is 1; This score value 1 pair of sound of snoring event score is adopted again to upgrade.After second wind terminates, sound of snoring event score is updated to 2.Breathe for third time, detect this breathing and the sound of snoring does not occur, then the sound of snoring event score value of this breathing is-1; This score value-1 pair of sound of snoring event score is adopted again to upgrade.After third time breathing terminates, sound of snoring event score is updated to 1.By that analogy, through detecting for a long time, the sound of snoring event score along with breathing real-time update just can be obtained.
The sound of snoring event score adding up gained when a period of time exceeds default the first threshold value (the adjustment upper limit), under then showing the Current therapeutic pressure of respirator, the user of respirator still there occurs more snoring, illustrate that respirator Current therapeutic press pin is also lower to this user, effectively do not maintain the degree of mobility of user's epithelium healing.Therefore, under this situation, the boosting adjustment of certain amplitude can be carried out the treatment pressure of respirator, improve the treatment pressure of respirator, prevent this user from asphyxia occurring.This first threshold value can be such as 5 or 10.Certainly, the current treatment pressure of respirator is lower, needs suitably raise the treatment pressure of respirator numerical value is used as threshold value to adopt other to show, is equally also feasible.
If the breathing that sound of snoring event or generation sound of snoring event do not occur the user of use respirator in certain hour length is little, illustrate that the current treatment pressure of respirator is not less than the optimum treatment pressure needed for user provides, Current therapeutic pressure effectively can maintain the degree of mobility of user's epithelium healing, can effectively prevent user from asphyxia occurring.The treatment pressure that Hold up voltage machine is current, or suitably reduce the current treatment pressure of respirator to improve user's autonomous respiration ability, be all feasible.Therefore, when sound of snoring event score is lower than the second threshold value preset, the treatment pressure that respirator provides can just suitably be reduced.Certainly, this first threshold value is greater than this second threshold value.This second threshold value can be such as-20 or-30 etc.Certainly, the current treatment pressure of respirator may be used as threshold value by numerical value that is higher, the treatment pressure that suitably can reduce respirator to adopt other to show, is equally also feasible.
Sound of snoring detection system provided by the invention, as shown in Figure 4, mainly includes detection module 410, acquisition module 420 and judge module 430.
Detection module 410, is set to continue at the gas outlet place of respirator to detect breath signal.The corresponding respiration of each breath signal.
Acquisition module 420, is connected with detection module 410, is set to obtain according to the vibration amplitude value continuing the breath signal detected breathe vibrations threshold value.
Judge module 430, is connected with acquisition module 420, and the vibration amplitude value being set to the breath signal detected in the last time is greater than when breathing vibrations threshold value, assert that the last breathing corresponding to breath signal detected there occurs the sound of snoring.
As shown in Figure 5, this 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, is set to the sliding average of the breath signal after calculating high-pass filtering.
Acquiring unit 423, is connected with computing unit 422 and judge module 430, is set to for respiration, by the difference between the maximum of the breath signal after high-pass filtering and sliding average, as the vibration amplitude value of this breathing; And obtain this breathing vibrations threshold value according to the vibration amplitude value of repeatedly breathing.
As shown in Figure 4, sound of snoring detection system provided by the invention can also comprise logging modle 440, is connected with judge module 430, is set to the breathing corresponding to breath signal that the last time detects when there occurs the sound of snoring, carries out bonus point to the sound of snoring event score preset; And the breathing corresponding to breath signal that detects of the last time is not when the sound of snoring occurs, deduction is carried out to sound of snoring event score.
As shown in Figure 4, sound of snoring detection system provided by the invention can also comprise voltage regulating module 450, is connected with logging modle 440, is set to when sound of snoring event score exceeds the first default threshold value, raises the treatment pressure of respirator; When sound of snoring event score is lower than the second threshold value preset, reduce the treatment pressure of respirator; Wherein, the first threshold value is greater than the second threshold value.
It is apparent to those skilled in the art that each ingredient of the system that the above-mentioned embodiment of the present invention provides, and each step in method, they can concentrate on single accountant, or are distributed on network that multiple accountant forms.Alternatively, they can realize with the executable program code of accountant.Thus, they can be stored and be performed by accountant in the storage device, or they are made into each integrated circuit modules respectively, or the multiple module in them or step are made into single integrated circuit module to realize.Like this, the present invention is not restricted to any specific hardware and software combination.
Although the embodiment disclosed by the present invention is as above, the embodiment that described content only adopts for ease of understanding technical solution of the present invention, and be not used to limit the present invention.Those of skill in the art belonging to any the present invention; under the prerequisite not departing from the spirit and scope disclosed by the present invention; any amendment and change can be carried out in the form implemented and details; but scope of patent protection of the present invention, the scope that still must define with appending claims is as the criterion.
Claims (10)
1. a sound of snoring detection method, comprising:
Continue at the gas outlet place of respirator to detect breath signal;
Obtain according to the vibration amplitude value of the described breath signal continuing to detect and breathe vibrations threshold value;
When the vibration amplitude value of the described breath signal detected in the last time is greater than described breathing vibrations threshold value, assert that the breathing corresponding to the breath signal that described the last time detects there occurs the sound of snoring.
2. method according to claim 1, is characterized in that:
Described breath signal comprises acoustical signal, airflow signal or air pressure signal.
3. method according to claim 1, is characterized in that, obtains and breathes vibrations threshold value, comprising according to the vibration amplitude value of the breath signal continuing to detect:
High-pass filtering is carried out to breath signal;
Calculate the sliding average of the breath signal after described high-pass filtering;
For respiration, by the difference between the maximum of the breath signal after high-pass filtering and described sliding average, as the vibration amplitude value of this breathing;
Described breathing vibrations threshold value is obtained according to the vibration amplitude value of repeatedly breathing.
4. method according to claim 3, is characterized in that, obtains described breathing vibrations threshold value, comprising according to the vibration amplitude value of repeatedly breathing:
Moving average is carried out to the vibration amplitude value of repeatedly breathing, obtains amplitude average value;
Described breathing vibrations threshold value is obtained according to the amplitude average value repeatedly breathed.
5. method according to claim 1, is characterized in that, the method comprises:
When breathing corresponding to the breath signal that described the last time detects there occurs the sound of snoring, bonus point is carried out to the sound of snoring event score preset;
When the sound of snoring does not occur in breathing corresponding to the breath signal that described the last time detects, deduction is carried out to described sound of snoring event score.
6. method according to claim 5, is characterized in that, the method comprises:
When described sound of snoring event score exceeds the first default threshold value, raise the treatment pressure of described respirator;
When described sound of snoring event score is lower than the second threshold value preset, maintain or reduce the treatment pressure of described respirator;
Wherein, described first threshold value is greater than described second threshold value.
7. a sound of snoring detection system, comprising:
Detection module, is set to continue at the gas outlet place of respirator to detect breath signal;
Acquisition module, is set to obtain according to the vibration amplitude value continuing the breath signal detected breathe vibrations threshold value;
Judge module, when the vibration amplitude value being set to the breath signal detected in the last time is greater than described breathing vibrations threshold value, assert that the breathing corresponding to the breath signal that described the last time detects there occurs the sound of snoring.
8. system according to claim 7, is characterized in that, described acquisition module comprises:
Filter unit, is set to carry out high-pass filtering to breath signal;
Computing unit, is set to the sliding average of the breath signal after calculating described high-pass filtering;
Acquiring unit, is set to for respiration, by the difference between the maximum of the breath signal after high-pass filtering and described sliding average, as the vibration amplitude value of this breathing; And obtain described breathing vibrations threshold value according to the vibration amplitude value of repeatedly breathing.
9. system according to claim 7, is characterized in that, this system comprises:
Logging modle, is set to the breathing corresponding to breath signal that described the last time detects when there occurs the sound of snoring, carries out bonus point to the sound of snoring event score preset; And the breathing corresponding to breath signal that detects of described the last time is not when the sound of snoring occurs, deduction is carried out to described sound of snoring event score.
10. system according to claim 9, is characterized in that, this system comprises:
Voltage regulating module, is set to, when described sound of snoring event score exceeds the first default threshold value, raise the treatment pressure of described respirator; When described sound of snoring event score is lower than the second threshold value preset, reduce the treatment pressure of described respirator;
Wherein, described first threshold value is greater than described 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 true CN104739413A (en) | 2015-07-01 |
| CN104739413B 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) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105615884A (en) * | 2016-03-17 | 2016-06-01 | 杨松 | Sleep apnea syndrome detecting method and device |
| 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 |
| WO2019037456A1 (en) * | 2017-08-24 | 2019-02-28 | 深圳创达云睿智能科技有限公司 | Snoring detection method and system, and terminal device |
| 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 |
| CN112107293A (en) * | 2020-08-11 | 2020-12-22 | 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 |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1803089A (en) * | 2006-01-20 | 2006-07-19 | 浙江工业大学 | Constrain-free, imperceptible sleep disorder measuring device and its method |
| CN1942213A (en) * | 2004-04-15 | 2007-04-04 | 雷斯梅德有限公司 | Snoring treatment apparatus and methods of managing snorers |
| CN101365383A (en) * | 2006-01-06 | 2009-02-11 | 雷斯梅德有限公司 | Computer controlled cpap system with snore detection |
| WO2010044162A1 (en) * | 2008-10-16 | 2010-04-22 | 富士通株式会社 | Apnea detection program, apnea detector, and apnea detection method |
| WO2013152403A1 (en) * | 2012-04-13 | 2013-10-17 | Resmed Limited | Apparatus and methods for ventilatory treatment |
| CN103371829A (en) * | 2012-04-19 | 2013-10-30 | 富士通株式会社 | apnea determining device and apnea determining method |
| CN103371830A (en) * | 2012-04-19 | 2013-10-30 | 富士通株式会社 | Apnea determining apparatus and apnea determining method |
-
2015
- 2015-03-23 CN CN201510128686.7A patent/CN104739413B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1942213A (en) * | 2004-04-15 | 2007-04-04 | 雷斯梅德有限公司 | Snoring treatment apparatus and methods of managing snorers |
| CN101365383A (en) * | 2006-01-06 | 2009-02-11 | 雷斯梅德有限公司 | Computer controlled cpap system with snore detection |
| CN1803089A (en) * | 2006-01-20 | 2006-07-19 | 浙江工业大学 | Constrain-free, imperceptible sleep disorder measuring device and its method |
| WO2010044162A1 (en) * | 2008-10-16 | 2010-04-22 | 富士通株式会社 | Apnea detection program, apnea detector, and apnea detection method |
| WO2013152403A1 (en) * | 2012-04-13 | 2013-10-17 | Resmed Limited | Apparatus and methods for ventilatory treatment |
| CN103371829A (en) * | 2012-04-19 | 2013-10-30 | 富士通株式会社 | apnea determining device and apnea determining method |
| CN103371830A (en) * | 2012-04-19 | 2013-10-30 | 富士通株式会社 | Apnea determining apparatus and apnea determining method |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105615884A (en) * | 2016-03-17 | 2016-06-01 | 杨松 | Sleep apnea syndrome detecting method and device |
| WO2017157285A1 (en) * | 2016-03-17 | 2017-09-21 | 杨松 | Method and device for detecting osahs |
| 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 |
| US11020049B2 (en) | 2016-03-17 | 2021-06-01 | Song Yang | Method and device for detecting OSAHS |
| WO2019037456A1 (en) * | 2017-08-24 | 2019-02-28 | 深圳创达云睿智能科技有限公司 | Snoring detection method and system, and terminal device |
| 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 |
| CN112107293A (en) * | 2020-08-11 | 2020-12-22 | 山东大学 | Snore monitoring system based on breathing parameters during sleep |
| 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104739413B (en) | 2017-09-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104739413A (en) | Snore detecting method and system | |
| JP6782267B2 (en) | Servo ventilator, method, and computer readable storage medium | |
| JP6574648B2 (en) | Automatic control for flow restriction detection | |
| JP5039057B2 (en) | Computer controlled CPAP system with snoring detection | |
| US7819823B2 (en) | System and method for detecting the onset of an obstructive sleep apnea event | |
| JP4960246B2 (en) | A system for detecting inactive expiratory effort in patient-ventilator interactions | |
| JP3232092B2 (en) | Sleep disorder breathing control device | |
| US9289566B2 (en) | System and method for automated titration of continuous positive airway pressure using an obstruction index | |
| CN103221086B (en) | Fat hypoventilation syndrome disposal system | |
| JP2010104814A (en) | Method and apparatus for maintaining and monitoring sleep quality during therapeutic treatment | |
| CN104916069B (en) | Method and apparatus for generating alarm during the patient ventilation of machinery | |
| JP2006516100A (en) | Method and apparatus for maintaining and monitoring sleep quality during therapeutic treatment | |
| CA2775467C (en) | System and method for anticipating the onset of an obstructive sleep apnea event | |
| JP2012518452A (en) | Automatic pressure titration | |
| US9757532B2 (en) | Detection of patient interface disconnect for controlling continuous positive airway pressure therapy | |
| CN110464944B (en) | Control method and device of breathing machine and breathing machine | |
| CN104161519A (en) | Sputum deposition online detecting and warning system | |
| CN109222978A (en) | A kind of respiratory effort detection method | |
| CN115334959A (en) | Sleep state detection for apnea-hypopnea index calculation | |
| CN109924980A (en) | Respiration case decision-making system and sleep monitor | |
| JP6885943B2 (en) | Methods and Devices 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 | |
| US20210213217A1 (en) | Airway anomaly recognition method, ventilation device, and storage medium | |
| CN104689444A (en) | Pressure adjustment method and system of positive-pressure breathing therapy machine | |
| CN116236652A (en) | Spontaneous breathing trigger judging method and system in noninvasive ventilation mode of neonate |
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 |