CN106175770A - Apneic determination methods and system during a kind of sleep - Google Patents

Apneic determination methods and system during a kind of sleep Download PDF

Info

Publication number
CN106175770A
CN106175770A CN201610630791.5A CN201610630791A CN106175770A CN 106175770 A CN106175770 A CN 106175770A CN 201610630791 A CN201610630791 A CN 201610630791A CN 106175770 A CN106175770 A CN 106175770A
Authority
CN
China
Prior art keywords
sleep
during
breathing rate
apneic
respiratory
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
Application number
CN201610630791.5A
Other languages
Chinese (zh)
Other versions
CN106175770B (en
Inventor
李翔
张涵
陈澎彬
庞志强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
GUANGDONG JUNFENG BFS INDUSTRY CO LTD
Original Assignee
South China Normal University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by South China Normal University filed Critical South China Normal University
Priority to CN201610630791.5A priority Critical patent/CN106175770B/en
Publication of CN106175770A publication Critical patent/CN106175770A/en
Application granted granted Critical
Publication of CN106175770B publication Critical patent/CN106175770B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/08Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/0826Detecting or evaluating apnoea events
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/08Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/0816Measuring devices for examining respiratory frequency
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • A61B5/4818Sleep apnoea
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7225Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/725Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0247Pressure sensors

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Public Health (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Physiology (AREA)
  • Signal Processing (AREA)
  • Pulmonology (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Psychiatry (AREA)
  • Power Engineering (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The present invention relates to apneic determination methods and system during a kind of sleep, wherein, the method includes: step 1: the sleep-respiratory signal during the sleep of Real-time Collection testee;Step 2: described sleep-respiratory signal processing is obtained breathing rate oscillogram and pulse frequency oscillogram;Step 3: whether apneic judgement conclusion occurs during being analyzed being slept to breathing rate oscillogram and pulse frequency oscillogram.Thus, the present invention is achieved by such scheme and need not contact with testee, the judgement that sleep is suspended can be realized, radiationless, testing result is accurate, and is easy to carry, convenient to use, user can be met and be under the environment such as house or travel use when carrying out apneic detection and investigation, reduce time and money cost consumption.

Description

Apneic determination methods and system during a kind of sleep
Technical field
The present invention relates to the detection technique of a kind of sleep apnea being applicable under everyday environments, particularly to one Kind in a non-contact manner the vital sign such as the breathing in monitoring sleep, pulse, sentences the breathing from suspending state in sleep Apneic determination methods and system during disconnected sleep.
Background technology
Sleep apnea syndrome Sleep Apnea Syndrome (SAS), is a kind of common sleeping Journey occurs the disease of respiratory disorder, specifically, refer to every night in 7 hours sleep procedure asphyxia recurrent exerbation 30 times with Upper or apnea hypopnea indexes (often referred to simply as AHI) >=5 times/hour the one with the clinical disease such as drowsiness Sleep breathing disorders.SAS has become the stealthy killer jeopardizing human life, according to statistics at present in developed country through the SAS of diagnosis and treatment Patient accounts for the 20% of patient populations, and China occupies 2%.Figure (PSG) stream is led in predominantly standard monitoring method sleep of tracing it to its cause more Journey complexity, somewhat expensive, user experience difference etc. and be difficult to popularization and application.Therefore, a kind of convenience, accurately substituting PSG is studied The high detection method of rate, by providing strong technical support for SAS patient's early detection and diagnosis, has higher practical value.
At present, the method for existing detection sleep apnea syndrome typically has following several:
1, reduce the physiological parameter that PSG measures, measure the major parameter relevant with sleep apnea: such as patent documentation CN202776304U discloses a kind of device analyzing sleep apnea event, and it is exhaled by mouth and nose pneumatic sensor, chest and abdomen Inhale motion sensor, multiple physiological signal is detected by body position sensor, differentiates the generation of sleep-respiratory event.This kind of side Although the monitoring parameter that method is than PSG is few, but remains a need for testee and wear multiple sensors, affect the sleep state of testee.
2, use non-contacting metering system or use less monitoring signal, making operation the simplest, to user The as far as possible the fewest scheme of sleep impact: breathe pulse inspection as patent documentation CN102475541A discloses a kind of simple sleep state Measuring alarming device, utilizes respiratory murmur and body temperature trans to monitor, and i.e. arranges expansion at bedside while using body temperature trans Sound device, the respiratory movement in sleep is monitored by body temperature based on the testee in sleep and respiratory murmur.This kind of method due to It is based primarily upon respiratory murmur to distinguish breathing from suspending state, it is therefore possible to be also identified as exhaling by the sound with respiratory murmur same frequency band Sound-absorbing, thus there is the problem that measurement accuracy is the highest.
3, use other physiological features that asphyxia is judged: as patent documentation CN102973244A discloses one Non-contact type sleep apnea monitoring method based on thermal infrared imaging technology and device, utilize thermal imaging system Real-time Collection people Nostril and oral cavity thermal infrared images during somatic sleep, realize contactless monitoring sleep asphyxia by analyzing image.Also As patent documentation CN102641125A discloses a kind of sleep apnea decision maker, by breast detected in sleep The detection of the echo of the microwave that portion, abdominal part send realizes the judgement to breathing from suspending state.This kind of method must be based on tested At person nostril, detection could realize thermal imaging, and it is one fixing to utilize the reflection of microwave to cause the healthy of testee and safety Ringing, the ortho sleep that both modes all affect testee is healthy, and life-time service even can be with potential potential safety hazard.
4, application artificial intelligence technology, improves Detection accuracy: examine as patent documentation CN103083770A discloses one Break and the system and method for the treatment of patient's breathing patterns, by the air-flow of oral nose mask monitoring patient, in recording respiration parameter Value, meansigma methods, scope and standard deviation, collected and be input to neutral net, detects patient's states by neutral net.Also as specially Profit document CN103690168A discloses the detection method of a kind for the treatment of obstructive sleep apnea syndrome, is satisfied by detection blood oxygen With degree, the sound of snoring, three kinds of parameters of breath signal, according to artificial intelligence's decision-making theory, build obscuring element set membership function, then Determine whether suffer from sleep apnea syndrome by maximum subjection principle.Neutral net that this kind of method is applied, maximum It is subordinate to element scheduling algorithm and lacks certain priori, apneic judging process lacks credibility.
Therefore, the apneic method of above-mentioned judgement is required to rely on complicated loaded down with trivial details and that Consumer's Experience is extremely low PSG, doctor Detection investigation could be realized, it is impossible to be applied to the everyday environments such as family or travel under institute's environment.
Summary of the invention
The invention aims to solve the shortcoming and defect of above-mentioned prior art, it is provided that breathe temporarily during a kind of sleep The determination methods stopped and system, it is not necessary to contact with testee, can realize the judgement suspending sleep, radiationless, detection knot Fruit accurately, and is easy to carry, convenient to use, can meet user and is at home or carries out apneic under the environment such as travel Use when detection and investigation, reduces time and money cost consumption.
To achieve these goals, the technical solution used in the present invention is as follows:
First, it is provided that apneic determination methods during a kind of sleep, it comprises the following steps:
Step 1: the sleep-respiratory signal during the sleep of Real-time Collection testee;
Step 2: described sleep-respiratory signal processing is obtained breathing rate oscillogram and pulse frequency oscillogram;
Step 3: whether asphyxia occurs during being analyzed being slept to breathing rate oscillogram and pulse frequency oscillogram Judgement conclusion.
Specifically, in described step 1, specifically include following steps:
Step 11: the sleep-respiratory analogue signal during being slept by piezoelectric transducer Real-time Collection testee;
Step 12: described sleep-respiratory analogue signal is converted to sleep-respiratory digital signal by A/D modular converter.
Further, in described step 2, specifically include following steps:
Step 21: described sleep-respiratory digital signal is carried out preliminary analysis and obtains the waveform of breathing rate and the ripple of pulse frequency Shape;
Step 22: pass sequentially through shape filtering, peak filtering and covariance matching respectively to the waveform of described breathing rate and The waveform of described pulse frequency processes, and is calculated breathing rate and pulse frequency accurately, and generates corresponding breathing rate waveform respectively Figure and pulse frequency oscillogram.
Further, in described step 3, specifically include following steps:
Step 31: extract stable phase respectively in the same time period of described breathing rate oscillogram and described pulse frequency oscillogram The breathing rate of interior 20s and the pulse frequency of 20s, and each second in 20s take maximum Xi and the maximum of a pulse frequency of a breathing rate Value Yi, wherein i is integer, and 1≤i≤20;
Step 32: according to formulaIt is calculated the preliminary threshold that breathing from suspending state differentiates M;
Step 33: Real-time Collection testee sleep during sleep-respiratory signal time, described in described step 31 Cache breathing rate data and the pulse rate data of 5s in the same time period, and each second in 5s takes the maximum of a breathing rate The maximum Bi ' of Ai ' and a pulse frequency, wherein i ' is integer, and 1≤i '≤5;
Step 34: according to formulaIt is calculated parameter N that breathing from suspending state differentiates;
Step 35: during sleep-respiratory signal during Real-time Collection testee is slept, every time caching 5s breathing rate and Pulse rate signal, is repeated once described step 33 and described step 34 every 1s, circulates successively, until terminating during Shui Mian;
Step 36: set initial asphyxia number of times count=0, when being often repeated once step 33 and step 34, compare N Size with 7 × M;During and if only if N > 7 × M, count=count+1, represent and there occurs respiration suspending event;When During count > 2, compare the size of N and 14 × M, during and if only if N > 14 × M, count=count+1, represent and there occurs once Apnea;Whether the judgement conclusion of asphyxia and asphyxia number of times occurs during being slept.
For improving further the accuracy judging conclusion, as a further improvement on the present invention, described step 3 also include with Lower step:
Step 37: in described step 36, when count value often adds 1, to the judgement conclusion in described step 36 according to carrying out Secondary judges;This secondary judges to specifically include following steps:
Step 371: respectively breathing rate data and the pulse rate data of the 5s of caching in described step 33 are carried out 10 times successively Down-sampled process and 10 times of interpolation processing, wherein sample frequencys fs=1000Hz, obtaining quantity respectively in this 5s is 5 × fs= The breathing rate data of 5000 and the pulse rate data that quantity is 5 × fs=5000 point;By the breathing rate data record minute of 5000 o'clock Wei ai”, and the pulse rate data record of 5000 is respectively bi”, wherein, i " it is integer, and 1≤i "≤5000;
Step 372: according to formulaIt is calculated breathing rate Line slope variance S of data and pulse rate data2Value;
Step 373: asphyxia occurs really according to the determination of many groups parameter N that apnea occurs in step 36 The codomain scope of the line slope variance of event;
Step 374: when being in the value in described step 373 by described step 372 calculated line slope variance yields During the scope of territory, it is determined that conclusion is that testee occurs apnea during sleeping;Otherwise, when being counted by described step 372 Time beyond the codomain scope that the line slope variance yields obtained is in described step 373, it is determined that conclusion is that testee is in sleep Without there is apnea in period.
As a further improvement on the present invention, described step 373 occurs the line slope variance of apnea really The determination of codomain scope specifically include following steps:
Step 3731: obtain parameter N that C group breathing from suspending state differentiates according to described step 33 and described step 34, and According to described step 35 and described step 36, described C group breathing from suspending state discriminant parameter N is judged, exhale in described C group Inhale halted state discriminant parameter N selects and there occurs the D group breathing from suspending state discriminant parameter N suspending respiration case;Wherein C It is positive integer, C with D > D, and 50≤C≤500;
Step 3732: according to described step 371 respectively in described 5s corresponding for D group breathing from suspending state discriminant parameter N Breathing rate data and pulse rate data process, the line slope side often organized in described step 372 is calculated D group after process The value of difference, and be labeled as the most successively
Step 3733: in the value of the line slope variance of described D groupIn choose the line slope variance yields Q of a minimum1With The line slope variance yields Q of one maximum2, and really occurred the codomain scope of line slope variance of apnea for (Q1, Q2) or [Q1, Q2]。
For simplifying the structure of the system of the present invention further and ensureing the comfort level of testee, do not affect testee sleep body Test, as a further improvement on the present invention, in described step 11, by piezoelectric transducer be arranged at testee pillow base and Realize the sleep-respiratory analogue signal during the sleep of Real-time Collection testee.
As a further improvement on the present invention, described A/D modular converter includes the filter circuit being sequentially connected electrically, amplifies electricity Road and A/D change-over circuit;Described filter circuit electrically connects with described piezoelectric transducer, and to the simulation transmitted by piezoelectric transducer Signal is input to amplifying circuit after being filtered processing;Analogue signal after filtered process is put by described amplifying circuit Greatly, and it is sent to described A/D change-over circuit, described A/D change-over circuit will sequentially pass through the simulation letter of filtering and processing and amplifying Number it is converted into digital signal.
For simplifying calculation procedure and processing procedure further, as a further improvement on the present invention, in described step 21, logical Cross and described sleep-respiratory digital signal is input on processor or computer carry out preliminary analysis by LabVIEW software obtains The waveform of breathing rate and the waveform of pulse frequency.
Secondly, for reaching another object of the present invention, present invention also offers a kind of with described sleep during asphyxia Sleep corresponding to determination methods during apneic judgement system, this system includes piezoelectric transducer, the A/D being sequentially connected with Modular converter and processor;
Described piezoelectric transducer sleep-respiratory analogue signal during Real-time Collection testee is slept, and it is sent to institute State A/D modular converter;
Described A/D modular converter is for being converted into sleep-respiratory digital signal by described sleep-respiratory analogue signal, and passes Deliver to described processor;
Described processor is used for described sleep-respiratory Digital Signal Processing is obtained breathing rate oscillogram and pulse frequency oscillogram, And whether apneic judgement conclusion occurs during being analyzed being slept to breathing rate oscillogram and pulse frequency oscillogram.
By technique scheme, during present invention sleep, apneic determination methods and system have reached following useful Technique effect:
1) pass through the situation of change to the pressure that medicated pillow produces when piezoelectric transducer detection testee is slept, parse tested The signal of person's P&R two-way, and combine the aggregation of data differentiation asphyxia of testee P&R two paths of signals, More higher than the existing credibility only relying on breath signal, and need not contact with testee, can realize sleep time-out is sentenced Fixed, radiationless, testing result is accurate;Further, solve existing needs be accurately judged to apneic state to sleep matter Under conditions of amount makes correct assessment, it is necessary to rely on the expensive patient leading figure hypnogram PSG and cause must be more Laboratory or hospital carry out sleeping soundly and connect under the supervision of technical staff many monitoring electrodes, thus affect testee sleep Quality, has also consumed the time and money cost of consumer, and the detecting system of the present invention do not contact with testee can be real The now differentiation to testee breathing from suspending state, and detecting system is small and exquisite portable, convenient to use, can meet user and be in residence Carry out apneic detection and use during investigation under the environment such as family or travel, reduce time and money cost consumption.
2) by described step 371, point too high or too low in breathing rate and pulse rate data, beneficially breathing rate are got rid of Waveform and pulse frequency wavy curve smooth;
3) by described step 372~374, the apnea through once judging is carried out second time and judges, by This be conducive to further increasing sleep by twice judgement during the accuracy of apneic differentiation.
In order to be more fully understood that and implement, describe the present invention below in conjunction with the accompanying drawings in detail.
Accompanying drawing explanation
Fig. 1 is the brief FB(flow block) of apneic determination methods during the present invention sleeps;
Fig. 2 is the structure chart of apneic judgement system during the present invention sleeps;
Fig. 3 is the structure chart after apneic judgement system is improved further during the sleep in Fig. 2.
Detailed description of the invention
Refer to Fig. 1, for solving the problem that prior art exists, apneic during the invention provides a kind of sleep Determination methods, it comprises the following steps:
Step 1: the sleep-respiratory signal during the sleep of Real-time Collection testee;Specifically, described step 1 includes following step Rapid:
Step 11: the sleep-respiratory analogue signal during being slept by piezoelectric transducer Real-time Collection testee;
Step 12: described sleep-respiratory analogue signal is converted to sleep-respiratory digital signal by A/D modular converter.
Step 2: described sleep-respiratory signal processing is obtained breathing rate oscillogram and pulse frequency oscillogram;Specifically, described Step 2 comprises the following steps:
Step 21: described sleep-respiratory digital signal is carried out preliminary analysis and obtains the waveform of breathing rate and the ripple of pulse frequency Shape;
Step 22: pass sequentially through shape filtering, peak filtering and covariance matching respectively to the waveform of described breathing rate and The waveform of described pulse frequency processes, and is calculated breathing rate and pulse frequency accurately, and generates corresponding breathing rate waveform respectively Figure and pulse frequency oscillogram.
Step 3: whether asphyxia occurs during being analyzed being slept to breathing rate oscillogram and pulse frequency oscillogram Judgement conclusion;Specifically, described step 3 comprises the following steps:
Step 31: extract stable phase respectively in the same time period of described breathing rate oscillogram and described pulse frequency oscillogram The breathing rate of interior 20s and the pulse frequency of 20s, and each second in 20s take maximum Xi and the maximum of a pulse frequency of a breathing rate Value Yi, wherein i is integer, and 1≤i≤20;
Step 32: according to formulaIt is calculated the preliminary threshold that breathing from suspending state differentiates M;
Step 33: Real-time Collection testee sleep during sleep-respiratory signal time, described in described step 31 Cache breathing rate data and the pulse rate data of 5s in the same time period, and each second in 5s takes the maximum of a breathing rate The maximum Bi ' of Ai ' and a pulse frequency, wherein i ' is integer, and 1≤i '≤5;
Step 34: according to formulaIt is calculated parameter N that breathing from suspending state differentiates;
Step 35: during sleep-respiratory signal during Real-time Collection testee is slept, every time caching 5s breathing rate and Pulse rate signal, is repeated once described step 33 and described step 34 every 1s, circulates successively, until terminating during Shui Mian;
Step 36: set initial asphyxia number of times count=0, when being often repeated once step 33 and step 34, compare N Size with 7 × M;During and if only if N > 7 × M, count=count+1, represent and there occurs respiration suspending event;When During count > 2, compare the size of N and 14 × M, during and if only if N > 14 × M, count=count+1, represent and there occurs once Apnea;Whether the judgement conclusion of asphyxia and asphyxia number of times occurs during being slept.
For improving the accuracy judging conclusion further, as a kind of more excellent technical scheme of the present invention, to described step 3 Carrying out the most perfect, the step 3 after improving is in addition to including step 31~36, further comprising the steps of:
Step 37: in described step 36, when count value often adds 1, to the judgement conclusion in described step 36 according to carrying out Secondary judges;This secondary judges to specifically include following steps:
Step 371: respectively breathing rate data and the pulse rate data of the 5s of caching in described step 33 are carried out 10 times successively Down-sampled process and 10 times of interpolation processing, wherein sample frequencys fs=1000Hz, obtaining quantity respectively in this 5s is 5 × fs= The breathing rate data of 5000 and the pulse rate data that quantity is 5 × fs=5000 point;By the breathing rate data record minute of 5000 o'clock Wei ai”, and the pulse rate data record of 5000 is respectively bi”, wherein, i " it is integer, and 1≤i "≤5000;
Step 372: according to formulaIt is calculated breathing rate Line slope variance S of data and pulse rate data2Value;
Step 373: asphyxia occurs really according to the determination of many groups parameter N that apnea occurs in step 36 The codomain scope of the line slope variance of event;Specifically include following steps:
Step 3731: obtain parameter N that C group breathing from suspending state differentiates according to described step 33 and described step 34, and According to described step 35 and described step 36, described C group breathing from suspending state discriminant parameter N is judged, exhale in described C group Inhale halted state discriminant parameter N selects and there occurs the D group breathing from suspending state discriminant parameter N suspending respiration case;Wherein C It is positive integer, C with D > D, and 50≤C≤500;
Step 3732: according to described step 371 respectively in described 5s corresponding for D group breathing from suspending state discriminant parameter N Breathing rate data and pulse rate data process, the line slope side often organized in described step 372 is calculated D group after process The value of difference, and be labeled as the most successively
Step 3733: in the value of the line slope variance of described D groupIn choose the line slope variance yields Q of a minimum1 Line slope variance yields Q with a maximum2, and really occurred the codomain scope of the line slope variance of apnea to be (Q1, Q2) or [Q1, Q2]。
Step 374: when being in the value in described step 373 by described step 372 calculated line slope variance yields During the scope of territory, it is determined that conclusion is that testee occurs apnea during sleeping;Otherwise, when being counted by described step 372 Time beyond the codomain scope that the line slope variance yields obtained is in described step 373, it is determined that conclusion is that testee is in sleep Without there is apnea in period.
It addition, in other variant embodiment, thus it is possible to vary the span of C so that the numerical value D acquired the biggest more Good, so it is also beneficial to improve the accuracy that asphyxia differentiates further.
For simplifying the structure of the system of the present invention further and ensureing the comfort level of testee, do not affect testee sleep body Test, as a kind of more excellent technical scheme of the present invention, in described step 11, be arranged at the medicated pillow of testee by piezoelectric transducer Bottom and realize Real-time Collection testee sleep during sleep-respiratory analogue signal.
The sleep-respiratory digital signal little for obtaining external disturbance, to improve the accuracy that asphyxia differentiates further, As a kind of more excellent technical scheme, described A/D modular converter includes filter circuit, amplifying circuit and the A/D being sequentially connected electrically Change-over circuit.Described filter circuit electrically connects with described piezoelectric transducer, and enters the analogue signal transmitted by piezoelectric transducer It is input to amplifying circuit after row Filtering Processing;Analogue signal after filtered process is amplified by described amplifying circuit, and passes Deliver to described A/D change-over circuit, described A/D change-over circuit the analogue signal sequentially passing through filtering and processing and amplifying is converted into Digital signal.
For simplifying calculation procedure and processing procedure further, as a kind of more excellent technical scheme, in described step 21, logical Cross and described sleep-respiratory digital signal is input on processor or computer carry out preliminary analysis by LabVIEW software obtains The waveform of breathing rate and the waveform of pulse frequency.Wherein, computer can be portable computer can also be desk computer, can root Convenient processing equipment is selected according to the need for environment of testee.
It addition, in other embodiments, it is also possible to the waveform of other Software Create breathing rate in addition to LabVIEW software With the waveform of pulse frequency, such as MALAB software etc..
Refer to Fig. 2, it addition, apneic determination methods is corresponding during present invention also offers a kind of and described sleep Sleep during apneic judgement system, this system includes piezoelectric transducer 10, A/D modular converter 20 and being sequentially connected with Processor 30.
The described piezoelectric transducer 10 sleep-respiratory analogue signal during Real-time Collection testee is slept, and be sent to Described A/D modular converter 20;
Described A/D modular converter 20 is used for described sleep-respiratory analogue signal is converted into sleep-respiratory digital signal, and It is sent to described processor 30;
Described processor 30 is for obtaining breathing rate oscillogram and pulse frequency waveform to described sleep-respiratory Digital Signal Processing Figure, and whether occur during being analyzed sleep to breathing rate oscillogram and pulse frequency oscillogram apneic judging to tie Opinion.
Refer to Fig. 3, for avoiding piezoelectric transducer 10 to be walked by such environmental effects phenomenon, extend pressure simultaneously The service life of electric transducer 10, as a kind of more excellent technical scheme, apneic judgement system during present invention sleep Also include a sensor installing plate 40;Described piezoelectric transducer 10 is embedded the middle part being installed on described sensor installing plate 40, and Its test side leaks outside and is arranged at the surface of described sensor installing plate 40, and with the flush of sensor installing plate 40.At this In embodiment, the length and width that the length and width of sensor installing plate 40 are preferably sized to the medicated pillow with testee are in the same size or close.
The sleep-respiratory digital signal little for obtaining external disturbance, to improve the accuracy that asphyxia differentiates further, As a kind of more excellent technical scheme, described A/D modular converter 20 includes being sequentially connected electrically and be integrated in the filter on same pcb board Wave circuit, amplifying circuit and A/D change-over circuit.Described filter circuit electrically connects with described piezoelectric transducer 10, and to by piezoelectricity The analogue signal that sensor 10 transmits is input to amplifying circuit after being filtered processing;After described amplifying circuit is to filtered process Analogue signal be amplified, and be sent to described A/D change-over circuit;Described A/D change-over circuit by the serial ports on pcb board with Processor 30 connects, and the analogue signal sequentially passing through filtering and processing and amplifying is converted into digital signal by it, and will by serial ports Digital signal is sent to processor 30, processor 30 process of described Digital Signal Analysis obtains the judgement of asphyxia situation Conclusion.
When needs detection breath signal and pulse signal, when monoblock sensor installing plate 40 is placed on testee sleep Need the bottom surface of the medicated pillow used, or be nested in the pillow covering towel of medicated pillow, pressurized together with medicated pillow;And A/D modular converter 20 is permissible It is placed on bedside or other convenient place placed.Can be by native system detection breath signal and pulse when testee is slept Signal, processor 30 can constantly process data, the work completing subsequent analysis, processing and judge during the sleep of testee Make.Specifically, can be in conjunction with determination methods apneic during the sleep of the present invention to asphyxia during the sleep of the present invention The work process of judgement system and operation principle understand, therefore do not repeat them here.
In other variant embodiment, described processor 30 could alternatively be computer, mobile phone, panel computer or wrist-watch Deng other intelligent terminal.
Relative to prior art, during present invention sleep, apneic determination methods and system need not connect with testee Touching, can realize the judgement suspending sleep, radiationless, testing result is accurate, and is easy to carry, convenient to use, can be full Foot user is under the environment such as house or travel and carries out apneic detection and use during investigation, reduces time and money and becomes This consumption.
The invention is not limited in above-mentioned embodiment, if various changes or deformation to the present invention are without departing from the present invention Spirit and scope, if these are changed and within the scope of deformation belongs to claim and the equivalent technologies of the present invention, then this Bright being also intended to comprises these changes and deformation.

Claims (10)

1. apneic determination methods during a sleep, it is characterised in that: comprise the following steps:
Step 1: the sleep-respiratory signal during the sleep of Real-time Collection testee;
Step 2: described sleep-respiratory signal processing is obtained breathing rate oscillogram and pulse frequency oscillogram;
Step 3: whether occur during being analyzed being slept to breathing rate oscillogram and pulse frequency oscillogram apneic sentencing Determine conclusion.
Apneic determination methods during sleep the most according to claim 1, it is characterised in that: in described step 1, tool Body comprises the following steps:
Step 11: the sleep-respiratory analogue signal during being slept by piezoelectric transducer Real-time Collection testee;
Step 12: described sleep-respiratory analogue signal is converted to sleep-respiratory digital signal by A/D modular converter.
Apneic determination methods during sleep the most according to claim 2, it is characterised in that: in described step 2, tool Body comprises the following steps:
Step 21: described sleep-respiratory digital signal is carried out preliminary analysis and obtains the waveform of breathing rate and the waveform of pulse frequency;
Step 22: pass sequentially through shape filtering, peak filtering and covariance matching respectively to the waveform of described breathing rate and described The waveform of pulse frequency processes, and is calculated breathing rate and pulse frequency accurately, and generate respectively corresponding breathing rate oscillogram and Pulse frequency oscillogram.
4. according to apneic determination methods during the sleep described in any one of claims 1 to 3, it is characterised in that: described In step 3, specifically include following steps:
Step 31: extract respectively in stable phase in the same time period of described breathing rate oscillogram and described pulse frequency oscillogram The breathing rate of 20s and the pulse frequency of 20s, and each second in 20s take maximum Xi and the maximum of a pulse frequency of a breathing rate Yi, wherein i is integer, and 1≤i≤20;
Step 32: according to formulaIt is calculated the preliminary threshold M that breathing from suspending state differentiates;
Step 33: during sleep-respiratory signal during Real-time Collection testee is slept, described same in described step 31 The breathing rate data of caching 5s and pulse rate data in time period, and each second in 5s take a breathing rate maximum Ai ' and The maximum Bi ' of one pulse frequency, wherein i ' is integer, and 1≤i '≤5;
Step 34: according to formulaIt is calculated parameter N that breathing from suspending state differentiates;
Step 35: during sleep-respiratory signal during Real-time Collection testee is slept, the every time breathing rate of caching 5s and pulse frequency Signal, is repeated once described step 33 and described step 34 every 1s, circulates successively, until terminating during Shui Mian;
Step 36: set initial asphyxia number of times count=0, when being often repeated once step 33 and step 34, compare N and 7 × The size of M;During and if only if N > 7 × M, count=count+1, represent and there occurs respiration suspending event;Work as count > 2 Time, compare the size of N and 14 × M, during and if only if N > 14 × M, count=count+1, represent and there occurs that respiration suspends Event;Whether the judgement conclusion of asphyxia and asphyxia number of times occurs during being slept.
Apneic determination methods during sleep the most according to claim 4, it is characterised in that: described step 3 is also wrapped Include following steps:
Step 37: in described step 36, when count value often adds 1, to the judgement conclusion in described step 36 according to carrying out secondary Judge;This secondary judges to specifically include following steps:
Step 371: respectively breathing rate data and the pulse rate data of the 5s of caching in described step 33 are carried out 10 times of falls successively and adopt Sample processes and 10 times of interpolation processing, wherein sample frequencys fs=1000Hz, and obtaining quantity respectively in this 5s is 5 × fs=5000 The breathing rate data of point and pulse rate data that quantity is 5 × fs=5000 point;The breathing rate data records of 5000 are respectively ai”, and the pulse rate data record of 5000 is respectively bi”, wherein, i " it is integer, and 1≤i "≤5000;
Step 372: according to formulaIt is calculated breathing rate data Line slope variance S with pulse rate data2Value;
Step 373: apnea occurs really according to the determination of many groups parameter N that apnea occurs in step 36 The codomain scope of line slope variance;
Step 374: when the codomain model being in described step 373 by described step 372 calculated line slope variance yields When enclosing, it is determined that conclusion is that testee occurs apnea during sleeping;Otherwise, when being calculated by described step 372 To the codomain scope that is in described step 373 of line slope variance yields beyond time, it is determined that conclusion is that testee is during sleeping Without there is apnea.
Apneic determination methods during sleep the most according to claim 5, it is characterised in that: in described step 373 The determination that the codomain scope of the line slope variance of apnea really occurs specifically includes following steps:
Step 3731: according to described step 33 and described step 34 obtain C group breathing from suspending state differentiate parameter N, and according to Described C group breathing from suspending state discriminant parameter N is judged by described step 35 and described step 36, breathes temporarily in described C group Stop condition discrimination parameter N selecting and there occurs the D group breathing from suspending state discriminant parameter N suspending respiration case;Wherein C and D It is positive integer, C > D, and 50≤C≤500;
Step 3732: according to described step 371 respectively to exhaling in described 5s corresponding for D group breathing from suspending state discriminant parameter N Suction rate data and pulse rate data process, the line slope variance often organized in described step 372 is calculated D group after process Value, and be labeled as the most successively
Step 3733: in the value of the line slope variance of described D groupIn choose the line slope variance yields Q of a minimum1With one Big line slope variance yields Q2, and really occurred the codomain scope of line slope variance of apnea for (Q1, Q2) or [Q1, Q2]。
Apneic determination methods during sleep the most according to claim 2, it is characterised in that: in described step 11, It is arranged at the pillow base of testee by piezoelectric transducer and realizes the sleep-respiratory mould during Real-time Collection testee is slept Intend signal.
Apneic determination methods during sleep the most according to claim 2, it is characterised in that: described A/D modulus of conversion Block includes filter circuit, amplifying circuit and the A/D change-over circuit being sequentially connected electrically;Described filter circuit and described piezoelectric transducer Electrical connection, and the analogue signal transmitted by piezoelectric transducer is filtered process after be input to amplifying circuit;Described amplification electricity Analogue signal after filtered process is amplified by road, and is sent to described A/D change-over circuit, by described A/D change-over circuit The analogue signal sequentially passing through filtering and processing and amplifying is converted into digital signal.
Apneic determination methods during sleep the most according to claim 3, it is characterised in that: in described step 21, Obtain by described sleep-respiratory digital signal is input on processor or computer carry out preliminary analysis by LabVIEW software Waveform and the waveform of pulse frequency to breathing rate.
10. apneic judgement system during a sleep, it is characterised in that: include piezoelectric transducer, the A/D being sequentially connected with Modular converter and processor;
Described piezoelectric transducer sleep-respiratory analogue signal during Real-time Collection testee is slept, and it is sent to described A/ D modular converter;
Described A/D modular converter is for being converted into sleep-respiratory digital signal by described sleep-respiratory analogue signal, and is sent to Described processor;
Described processor is for obtaining breathing rate oscillogram and pulse frequency oscillogram to described sleep-respiratory Digital Signal Processing and right Whether breathing rate oscillogram and pulse frequency oscillogram there is apneic judgement conclusion during being analyzed being slept.
CN201610630791.5A 2016-08-01 2016-08-01 The judgement system of apnea during a kind of sleep Active CN106175770B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610630791.5A CN106175770B (en) 2016-08-01 2016-08-01 The judgement system of apnea during a kind of sleep

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610630791.5A CN106175770B (en) 2016-08-01 2016-08-01 The judgement system of apnea during a kind of sleep

Publications (2)

Publication Number Publication Date
CN106175770A true CN106175770A (en) 2016-12-07
CN106175770B CN106175770B (en) 2018-08-21

Family

ID=57497172

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610630791.5A Active CN106175770B (en) 2016-08-01 2016-08-01 The judgement system of apnea during a kind of sleep

Country Status (1)

Country Link
CN (1) CN106175770B (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109480783A (en) * 2018-12-20 2019-03-19 深圳和而泰智能控制股份有限公司 A kind of apnea detection method, apparatus and calculate equipment
CN109691990A (en) * 2017-10-20 2019-04-30 纳智源科技(唐山)有限责任公司 Sleep apnea low detection device and method
WO2020042897A1 (en) * 2018-08-29 2020-03-05 深圳融昕医疗科技有限公司 Method and device for determining apnea event type, and storage medium
CN113613552A (en) * 2019-04-03 2021-11-05 帝人株式会社 Sleep state detection device, sleep state detection method, and sleep state detection program
CN114732391A (en) * 2022-06-13 2022-07-12 亿慧云智能科技(深圳)股份有限公司 Microwave radar-based heart rate monitoring method, device and system in sleep state
CN117338253A (en) * 2023-12-05 2024-01-05 华南师范大学 Sleep apnea detection method and device based on physiological signals

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070161917A1 (en) * 2006-01-10 2007-07-12 Denso Corporation Method and apparatus of analyzing respiratory signals corresponding to changes in subject's loads applied to bed
US20100145167A1 (en) * 2008-08-08 2010-06-10 Hanbyul Meditech Co., Ltd. Pillow having apparatus for determining sleeping state under unrestricted non-self-awareness condition
CN202568219U (en) * 2012-03-01 2012-12-05 北京麦邦光电仪器有限公司 Sleeping heart rate and breath monitoring system
WO2014114438A1 (en) * 2013-01-23 2014-07-31 Sissel International GmbH Sleeping pillow for alleviating a sleep apnea
CN204483674U (en) * 2015-01-05 2015-07-22 武汉理工大学 A kind of can the intelligent pillow of monitoring sleep quality
CN104873173A (en) * 2015-05-19 2015-09-02 上海兆观信息科技有限公司 Non-contact type sleep stage classification and sleep breathing disorder detection method
CN105662375A (en) * 2016-03-17 2016-06-15 广州中科新知科技有限公司 Method and device for non-contact detecting vital sign signals

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070161917A1 (en) * 2006-01-10 2007-07-12 Denso Corporation Method and apparatus of analyzing respiratory signals corresponding to changes in subject's loads applied to bed
US20100145167A1 (en) * 2008-08-08 2010-06-10 Hanbyul Meditech Co., Ltd. Pillow having apparatus for determining sleeping state under unrestricted non-self-awareness condition
CN202568219U (en) * 2012-03-01 2012-12-05 北京麦邦光电仪器有限公司 Sleeping heart rate and breath monitoring system
WO2014114438A1 (en) * 2013-01-23 2014-07-31 Sissel International GmbH Sleeping pillow for alleviating a sleep apnea
CN204483674U (en) * 2015-01-05 2015-07-22 武汉理工大学 A kind of can the intelligent pillow of monitoring sleep quality
CN104873173A (en) * 2015-05-19 2015-09-02 上海兆观信息科技有限公司 Non-contact type sleep stage classification and sleep breathing disorder detection method
CN105662375A (en) * 2016-03-17 2016-06-15 广州中科新知科技有限公司 Method and device for non-contact detecting vital sign signals

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
袁媛: "便携式睡眠监测系统及其分析软件的研究与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑 》 *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109691990A (en) * 2017-10-20 2019-04-30 纳智源科技(唐山)有限责任公司 Sleep apnea low detection device and method
CN109691990B (en) * 2017-10-20 2024-02-20 纳智源科技(唐山)有限责任公司 Sleep apnea hypopnea detection device and method
WO2020042897A1 (en) * 2018-08-29 2020-03-05 深圳融昕医疗科技有限公司 Method and device for determining apnea event type, and storage medium
CN109480783A (en) * 2018-12-20 2019-03-19 深圳和而泰智能控制股份有限公司 A kind of apnea detection method, apparatus and calculate equipment
CN113613552A (en) * 2019-04-03 2021-11-05 帝人株式会社 Sleep state detection device, sleep state detection method, and sleep state detection program
CN114732391A (en) * 2022-06-13 2022-07-12 亿慧云智能科技(深圳)股份有限公司 Microwave radar-based heart rate monitoring method, device and system in sleep state
CN114732391B (en) * 2022-06-13 2022-08-23 亿慧云智能科技(深圳)股份有限公司 Microwave radar-based heart rate monitoring method, device and system in sleep state
US11793415B1 (en) 2022-06-13 2023-10-24 Yihuiyun Intelligent Technology (Shenzhen) Co., Ltd. Method, apparatus and system for monitoring heart rate in sleep state based on microwave radar
CN117338253A (en) * 2023-12-05 2024-01-05 华南师范大学 Sleep apnea detection method and device based on physiological signals
CN117338253B (en) * 2023-12-05 2024-03-26 华南师范大学 Sleep apnea detection method and device based on physiological signals

Also Published As

Publication number Publication date
CN106175770B (en) 2018-08-21

Similar Documents

Publication Publication Date Title
CN106175770A (en) Apneic determination methods and system during a kind of sleep
Rofouei et al. A non-invasive wearable neck-cuff system for real-time sleep monitoring
KR101182994B1 (en) Techniques for prediction and monitoring of clinical episodes
CN102973273B (en) Sleep respiratory function monitoring system based on infrared radiation detection
CN201361029Y (en) Portable sleep-apnea detecting and analyzing instrument
CN107198516A (en) The method and intelligent bed of a kind of chainless detection respiratory rate heart rate
CN104257353A (en) Sleep apnea syndrome detecting system
CN103006223A (en) Household non-contact sleeping monitoring device and method
CN102274009A (en) Respiratory and heartbeat signal processing circuit based on piezoelectric sensor
CN103153183A (en) Apparatus and method for diagnosing obstructive sleep apnea
CN108784669A (en) A kind of contactless heartbeat and disordered breathing monitor system and method
CN101365373A (en) Techniques for prediction and monitoring of clinical episodes
CN104545818A (en) Sleep apnea syndrome detection method based on pulse and blood oxygen signals
CN110876621A (en) Sleep apnea syndrome detecting system based on neural network
CN109620176A (en) A kind of intelligent sleep monitoring method and device
CN110477887A (en) A kind of monitoring device of non-invasive long-range apnea syndrome
Shouldice et al. Real time breathing rate estimation from a non contact biosensor
CN100562286C (en) System of monitoring physiological function
CN109171691A (en) A kind of sleep-respiratory detection system and its detection method
CN113662519A (en) Non-contact heart and lung monitor and heart and lung monitoring system
CN108283490A (en) Sleep-respiratory system and method
CN113164101B (en) Respiratory arrest detection system, method, computing device and storage medium
Park et al. Force-sensing-based unobtrusive system for awakening and respiration rate analysis during sleep
CN210990210U (en) Non-inductive sleep monitoring device and monitoring system
CN110897623A (en) Intelligent sleep monitoring system with good vital sign detection effect

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
TR01 Transfer of patent right

Effective date of registration: 20240207

Address after: Building 2, No. 38 Junfeng Road, Huangpu District, Guangzhou City, Guangdong Province, 510000

Patentee after: GUANGDONG JUNFENG BFS INDUSTRY CO.,LTD.

Country or region after: China

Address before: School of Physics and Telecommunications Engineering, South China Normal University, No. 378 Outer Ring West Road, Guangzhou University City, Panyu District, Guangzhou City, Guangdong Province, 510006

Patentee before: SOUTH CHINA NORMAL University

Country or region before: China

TR01 Transfer of patent right