CN109620208A - Sleep Apnea-hypopnea Syndrome detection system and method - Google Patents

Sleep Apnea-hypopnea Syndrome detection system and method Download PDF

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Publication number
CN109620208A
CN109620208A CN201811632895.5A CN201811632895A CN109620208A CN 109620208 A CN109620208 A CN 109620208A CN 201811632895 A CN201811632895 A CN 201811632895A CN 109620208 A CN109620208 A CN 109620208A
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signal
electrocardiosignal
sleep apnea
apnea
wave
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赵王麒麟
王红亮
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Nanjing Maosen Electronics Technology Co Ltd
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Nanjing Maosen Electronics Technology Co Ltd
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • 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
    • A61B5/0826—Detecting or evaluating apnoea events
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4818—Sleep apnoea
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters

Abstract

The invention discloses a kind of Sleep Apnea-hypopnea Syndrome detection system and methods.The system comprises data acquisition devices (100) and analysis processing device (200), the data acquisition device (100) includes electrocardio signal collecting unit (110) and blood oxygen signal acquisition unit (120), is respectively used to the electrocardiosignal and blood oxygen signal of acquisition human body；The analysis processing device (200) includes computing unit (210), it is used to extract breath signal from the electrocardiosignal, and apnea and breathing low pass gaseity are identified in real time according to the breath signal and blood oxygen signal, calculate apnea test, and sleep quality state is analyzed, obtain analysis result.The present invention has the advantages that easy to operate, convenient to wear, comfort is good, strong real-time.

Description

Sleep Apnea-hypopnea Syndrome detection system and method
Technical field
The present invention relates to human health status monitoring technical fields, and in particular to a kind of sleep apnea low is comprehensive Levy detection method and system.
Background technique
Sleep Apnea-hypopnea Syndrome (Sleep Apnea Hypopnea Syndrome, call SAHS in the following text) refers to A variety of causes leads to the sleep breathing disorders for occurring apnea and (or) low pass gas under sleep state repeatedly.Clinically it is defined as Apnea recurrent exerbation 30 times or more or apnea hypopnea indexes (AHI) >=5 in sleep procedure/small every night When, wherein apnea hypopnea indexes (AHI) refer to the number of the pause of sleeping time internal respiration per hour plus low pass gas. Apnea refers to that mouth and nose respiratory air flow stops 10 seconds or more completely in sleep procedure；Low pass gas refers to tidal air in sleep procedure Intensity of flow reduces by 50% or more compared with foundation level, and declines >=4%. due to apnea compared with foundation level with blood oxygen saturation The hypoxia at night and hypercapnia for causing recurrent exerbation can lead to hypertension, and coronary heart disease, diabetes and cranial vascular disease etc. are simultaneously Disease is sent out, or even night sudden death occurs.Therefore SAHS is a kind of sleep breathing disorders for having potential lethal.To SAHS carry out and When, effective detection tool has very great significance.
For the detection method and device of SAHS, have at present following several:
1, Polysomnography (Polysomnogram, PSG) is internationally recognized research at present and monitoring sleep disease Effective instrument, while be also it is internationally recognized diagnosis Sleep Apnea-hypopnea Syndrome goldstandard.PSG passes through night The monitoring of the indexs such as continuous breathing, arterial oxygen saturation, electroencephalogram, electrocardiogram, heart rate, can allow doctor to understand subject During sleep whether there is or not apnea, the number of pause, pause time, the when of pause minimum arterial blood oxygen value and to body The degree of health effect is conducive to Physician Global judgement and provides accurate diagnostic result.But since PSG uses big quantity sensor, And majority is placed in head and face, will affect the comfort level of measured；In addition equipment volume is larger and is not easy to move, subject It must be in the observation of special inspection chamber progress about 8 hours；PSG is at high price simultaneously, and check cost is higher, and equipment operation is multiple It is miscellaneous, can not on a large scale, be widely unfolded to use.
2, patent document CN102641125A discloses a kind of Non-contact type sleep apnea decision maker, by sleeping The judgement to breathing from suspending state is realized in the detection of the back wave for the microwave that the chest, abdomen of measured issues in dormancy.Using micro- The back wave of wave, which is monitored, has certain radiation, and certain customers psychologically can have conflict to radiation；It is based on microwave simultaneously The apnea decision maker of technology causes monitoring result inaccurate vulnerable to the various radiation of environment or the interference of electromagnetic wave.
3, patent document CN106175695A discloses a kind of monitoring system of sleep apnea syndrome, the monitoring system System mainly using the photosignal for indicating volumetric blood variation in finger tip signal pickup assembly acquisition finger tip blood vessel, passes through filtering Processing and calculating, obtain blood oxygen saturation data, heart rate variability data and pulse rate data, can obtain using data processing module To sleep state data and breathing time data.Sleep apnea monitoring is carried out using the device, needs measured the whole night Finger tip signal pickup assembly is all had on, although relatively simple easy-to-use, comfort level when can be to the monitoring of subject is impacted.
It can be seen that above-mentioned SAHS detection device and method all exist more or less in terms of user experience and flexibility Defect.Therefore, a kind of high performance-price ratio, easy to operate, convenient to wear, comfort is good, strong real-time SAHS monitoring device tool There are the very big market demand and application prospect.
Summary of the invention
Present invention seek to address that current Sleep Apnea-hypopnea Syndrome detection device is in user experience and flexibly Not good enough technical problem in property.
In order to solve the above technical problems, the present invention proposes a kind of Sleep Apnea-hypopnea Syndrome detection system, packet Include data acquisition device and analysis processing device, wherein the data acquisition device includes electrocardio signal collecting unit and blood oxygen Signal acquisition unit is respectively used to the electrocardiosignal and blood oxygen signal of acquisition human body；The analysis processing device includes calculating Unit, is used to from the electrocardiosignal extract breath signal, and according to the breath signal and blood oxygen signal in real time to exhaling It inhales pause and breathing low pass gaseity is identified, calculate apnea test, and divide sleep quality state Analysis obtains analysis result.
According to the preferred embodiment of the present invention, the step of extraction breath signal is to extract to breathe by EDR algorithm Signal.
According to the preferred embodiment of the present invention, the EDR algorithm includes the following steps:
1) design IIR notch filter filters out the 60Hz Hz noise in electrocardiosignal；
2) position for detecting R wave determines the position of basic point between every two R wave wave crest to be used to obtain electrocardiosignal Baseline, to remove the baseline drift of signal；
3) it detects R wave, obtains the R wave-amplitude modulated signal as caused by respiratory movement using interpolation, and pass through down-sampling Breath signal is obtained with smoothing processing.
According to the preferred embodiment of the present invention, system further includes remote control apparatus, is used for and analysis processing device Communicated, for analyzed from analysis processing device as a result, to analysis processing device send control instruction, with control The operation of analysis processing device.
The present invention also proposes a kind of Sleep Apnea-hypopnea Syndrome detection method, includes the following steps: to acquire people The electrocardiosignal and blood oxygen signal of body；Breath signal is extracted from the electrocardiosignal, and according to the breath signal and blood oxygen Signal in real time identifies apnea and breathing low pass gaseity, calculates apnea test, and to human body sleeping Dormancy state is analyzed, and analysis result is obtained.
The present invention also proposes a kind of equipment, and including the computing unit with data-handling capacity, the computing unit is used for Execute the Sleep Apnea-hypopnea Syndrome detection method.
The present invention also proposes a kind of computer-readable medium, and for storing computer program, the computer program can quilt It executes to execute the Sleep Apnea-hypopnea Syndrome detection method.
The present invention has the advantages that easy to operate, convenient to wear, comfort is good, strong real-time.
Detailed description of the invention
Fig. 1 is the structural block diagram of Sleep Apnea-hypopnea Syndrome of the invention (SAHS) detection system；
Fig. 2 is the workflow schematic diagram of Sleep Apnea-hypopnea Syndrome of the invention (SAHS) detection system；
Fig. 3 then device/equipment included by Sleep Apnea-hypopnea Syndrome (SAHS) detection system of the invention Wearing schematic；
Fig. 4 is the schematic diagram that blood oxygen levels are calculated based on PPG；
Fig. 5 is EDR algorithm block diagram.
Specific embodiment
This bright exemplary embodiment is more fully described below with reference to accompanying drawings.Although being shown in attached drawing of the invention Exemplary embodiment, it being understood, however, that the present invention may be realized in various forms, and embodiment is not intended to limit the invention Range.On the contrary, purpose of providing these embodiments is in order to make those skilled in the art thoroughly understand the present invention.
Term "and/or" herein is only a kind of incidence relation for describing affiliated partner, indicates may exist three kinds Relationship, for example, " A and/or B " can be indicated: individualism A exists simultaneously A and B, these three situations of individualism B.In addition, Character "/" herein, typicallys represent the relationship that forward-backward correlation object is a kind of "or".
The present invention generally speaking proposes a kind of Sleep Apnea-hypopnea Syndrome detection method and corresponding is System.Method includes the following steps: the electrocardiosignal and blood oxygen signal that acquire human body；Breathing letter is extracted from the electrocardiosignal Number, and calculating, which is exhaled, to be identified to apnea and breathing low pass gaseity in real time according to the breath signal and blood oxygen signal It inhales and suspends low ventilation index, and sleep quality state is analyzed, obtain analysis result.According to this method, the present invention is to being System carries out framework and carries out innovative design, using wearable design, is allowed to user's monitoring of being more convenient for, improves user experience.
Fig. 1 is the structural block diagram of Sleep Apnea-hypopnea Syndrome of the invention (SAHS) detection system.In the figure, Dotted line indicate in some embodiments have these units or module, but can not include in other embodiments these units or Module.As shown in Figure 1, the present invention is that one kind is used to detect SAHS, and to the system that sleep state is analyzed, which can To be integrated in wearable device, and it can preferably be sent to remote control equipment and the information such as be checked or analyzed.
As shown in Figure 1, whole system includes data acquisition device 100 and analysis processing device 200.Wherein data acquisition dress It sets 100 and includes at least electrocardio signal collecting unit 110 and blood oxygen signal acquisition unit 120, be respectively used to the heart of acquisition human body Electric signal and blood oxygen signal；Also, data acquisition device 100 can be implemented as a wearable device.In addition, as preferred reality Mode is applied, data acquisition device may also include synchronous control unit 130 and/or Signal Pretreatment unit 140.Synchronous control unit 130 for controlling the synchronous acquisition of electrocardio signal collecting unit 110 and blood oxygen signal acquisition unit 120, Signal Pretreatment unit 140 signals for acquiring to electrocardio signal collecting unit 110 and blood oxygen signal acquisition unit 120 pre-process, such as It amplifies, filter, denoising, resampling etc..
Refer again to Fig. 1, analysis processing device 200 includes at least the computing unit 210 with data-handling capacity, as can The functional unit of choosing can also include the first user interaction unit 220, the first storage unit 230 and the first communication unit 240.Wherein computing unit 210 is used to extract breath signal from electrocardiosignal, and according to the breath signal and blood oxygen signal Intelligent recognition is carried out to apnea and breathing low pass gaseity in real time, calculates apnea test AHI and other phases Parameter is closed, and sleep state is stopped to the people that breath signal and blood oxygen signal combined reaction go out and is analyzed, obtains analysis result.
First user interaction unit 220 is then for analysis and processing result, environmental information, subscriber control information, Yong Hucao Make information etc. to be shown, it can also be used to receive user's input, it is single to be stored according to user's input to computing unit 210, first The movement of any one or more of first 230, first communication unit 240 is controlled.First storage unit 230 is then for depositing Storage analysis result or original signal or results of intermediate calculations etc., the first communication unit 240 are then used to receive and send messages, transmitting-receiving Information includes analysis result, subscriber control information etc..It can include different function moulds according to function for computing unit 210 Block, such as mainly include breath signal extraction module, sleep state computation analysis module etc..
On the one hand, data acquisition device 100 and analysis processing device 200 can respectively constitute independent equipment, and the two is logical It crosses the modes such as bluetooth, wired and transmits data.On the other hand, data acquisition device 100 and analysis processing device 200 can also be one It is integrated in a equipment.
In addition, system of the invention can also include remote control apparatus 300, be used for analysis processing device 200 into Row communication, for analyze from analysis processing device 200 as a result, to analysis processing device 200 transmission control instruction, with Control the operation of analysis processing device 200.As shown in Figure 1, the length of run control device 300 includes main control unit 310, also may include Second user interactive unit 320, the second storage unit 330 and the second communication unit 340.Main control unit refers to for receiving or generating It enables, to control the movement of other each units, second user interactive unit then is used to receive the input of user, to control length of run Device 330 is configured, or result, environmental information, subscriber control information, the user's operation information etc. of analysis processing are carried out Display, it can also be used to receive user's input, with logical to main control unit 310, the second storage unit 330, second according to user's input The movement of any one or more of letter unit 340 is controlled.
The remote control apparatus 300 may be implemented to be independent equipment, as long as the equipment has at certain data Reason ability.Certainly it can also be realized by the equipment with general data processing ability, such as by smart phone, PC, flat Plate computer etc. is realized.
A specific embodiment of the invention is described in detail below:
Fig. 2 is the workflow schematic diagram of system of the invention；Fig. 3 is then device included by system of the invention/set Standby wearing schematic.As shown in Figures 2 and 3, the system of the embodiment acquires two kinds of signals, i.e. electrocardio, blood oxygen letter from human body Number.Electrocardiogram acquisition module 110 carries out the measurement of electrocardiosignal using wearable smart fabric.Two electrocardioelectrodes, make heart Between two electrocardioelectrode lines, the acquisition of heart real time signal is carried out.Blood oxygen acquisition module 120 is worn on wrist, makes Photoplethysmographic graphical method (PPG) measurement is carried out with photoelectric sensor.According to Lang Bo-Bill (Lamber-Beer) law, Substance is directly proportional with its concentration in the absorbance of a given wavelength, when the illumination of constant wavelength is mapped in tissue, leads to Cross the structure spy that the light intensity measured after tissue absorption, reflection loss reflects illuminated site tissue to a certain extent Sign.In the present embodiment, we select point be wrist on the outside of, make measured wear when it is more comfortable, while can carry out compared with For stable fixation, the factors bring noise jammings such as light leakage, movement are reduced.
Fig. 4 is the schematic diagram that blood oxygen levels are calculated according to PPG.As shown in figure 4, oxyhemoglobin HbO2With Hb H b There is apparent difference to the optical absorption characteristics of 600~1000nm of wavelength, as can be seen from the figure Hb between upper 600~800nm Absorption coefficient is higher, HbO between 800~1000nm2Absorption coefficient it is higher.Since to will lead to oxygenated blood in blood red for oxygen content Albumen HbO2With the variation of Hb H b ratio, two kinds of different light of wavelength can be used respectively to HbO2With the real-time PPG of Hb Signal is detected and is calculated, and from which further follows that blood oxygen levels.The electrocardiogram (ECG) data and oximetry data of above-mentioned acquisition are analog signal, It needs to include the pretreatment units such as difference amplifier and filter in acquisition device, analog signal is amplified and is filtered, And collected analog signal is made into analog-to-digital conversion.The digital signal that two data acquisition modules will obtain after processing respectively simultaneously It is packaged according to the communication protocol of agreement, is extremely counted data real-time transmission by wired (such as USB) or wireless (such as bluetooth) mode Calculate unit 200.
As shown in Fig. 2 flow chart, electrocardio signal collecting unit 110 send collected electrocardiosignal to computing unit 200 In, computing unit 200 includes breath signal extraction module, after receiving data, carries out unpacking the acquisition heart by communication protocol Electric signal, and respiration information is extracted by EDR algorithm (ECG-Derived Respiration).It is obtained due to actual measurement Electrocardiosignal is influenced by factors such as Temperature changing, Hz noise and respiratory movements, can generate baseline drift and other noises. Different disturbing factors is also different to the effect of electrocardiosignal.For baseline drift, it causes the frequency range of variation lower, Its show as on electrocardiosignal occur one relatively slowly variation, the frequency of breath signal generally 0.1~0.4Hz it Between, and Hz noise is the electrically and magnetically field action by power frequency and is superimposed the interference of generation, frequency is 50Hz (U.S. 60Hz), width Degree is general lower, and in addition to this, there are also some High-frequency Interferences.Therefore breath signal can be regarded as the low frequency of electrocardiosignal at Point, by the signal other than removal respiratory rate range, obtain required breath signal.
Fig. 5 show the flow diagram of EDR algorithm, as shown in figure 5, steps are as follows for algorithm flow:
1) design IIR notch filter filters out the 60Hz Hz noise in electrocardiosignal.
2) position for detecting R wave determines the position of basic point between every two R wave wave crest to be used to obtain electrocardiosignal Baseline, to remove the baseline drift of signal.
3) it detects R wave, obtains the R wave-amplitude modulated signal as caused by respiratory movement using interpolation, and pass through down-sampling Breath signal is obtained with smoothing processing.
The present invention applies Pan&Tompkins algorithm when detecting the QRS complex of ECG signal.The algorithm passes through to letter The numerical analysis for number carrying out amplitude, width and the gradient, can reliably detect out QRS complex, and by constantly updating threshold value, make be System adapts to stronger noise in real time.The algorithm can be divided into 3 stages, and in the 1st stage, signal passes through low pass, high pass and differential Filter, to reduce myoelectricity noise, industrial frequency noise, the influence of the interference such as " baseline drift " artifact.The transmitting of M rank low-pass filter Function is described as
Wherein anIt is the coefficient of filter.
The transmission function of M rank high-pass filter is described as
Wherein bnIt is the coefficient of filter.
Then, differential is carried out to signal using M rank differentiator, to provide QRS groups of slope informations, transmission function description For
Wherein cnIt is the coefficient of filter.
In the 2nd stage of the algorithm, after differential, point-by-point square is carried out to signal, making the signal value of output is positive number, mesh Be nonlinear amplification differential output higher frequency (mainly electrocardiogram frequency).It is represented by
Y (n)=[x (n)]2
Then signal is calculated using the method for sliding average, to obtain other waveforms in addition to the slope of R wave Characteristic information.It is represented by
The number for the sampled point that wherein N includes by sliding window.In the final stage of the algorithm, algorithm uses two groups of threshold values Detection QRS groups, and adjust and update two groups of threshold values, so that it is continuously adapted to continually changing ECG signal quality.
The blood oxygen signal that above-mentioned breath signal is obtained with blood oxygen signal acquisition unit is sent to sleeping for computing unit 210 jointly In dormancy state computation module, intelligent recognition is carried out to apnea and breathing low pass gaseity in real time, calculates apnea low pass Gas Index A HI and other relevant parameters, and the subject's sleep state gone out to breath signal and blood oxygen signal combined reaction carries out Analysis obtains analysis result.Optionally, the data obtained after result or analysis will be analyzed and is real-time transmitted to the first communication unit 240.First communication unit 240 can arrange data after receiving real time data, and pass through wired (such as USB) or nothing Line (such as Wi-Fi) is sent to remote control apparatus 300, and length of run control device 300 can be cloud, smart phone, Intelligent bracelet Equal electronic equipments, subject and other people can be in the inquiry for carrying out real-time and passing historical data in length of run control device 300.
Particularly, the sleep state computing module in the computing unit 210 of present system can be to apnea time mistake Long state is detected, and informs its abnormal state to length of run control device 300 by the first communication unit 240, and is made remote Process control device 300 goes out preset alarm, to prevent phenomenon of dying suddenly caused by because of apnea.
It should be appreciated that in order to simplify the present invention and help it will be understood by those skilled in the art that various aspects of the invention, Above in the description of exemplary embodiment of the present invention, each feature of the invention is retouched in a single embodiment sometimes It states, or is described referring to single figure.But should not be by the feature that the present invention is construed to include in exemplary embodiment The essential features of patent claims.
It should be appreciated that can be to progress such as module, unit, the components for including in the equipment of one embodiment of the present of invention certainly It adaptively changes so that they are arranged in equipment unlike this embodiment.The difference that can include the equipment of embodiment Module, unit or assembly are combined into module, a unit or assembly, also they can be divided into multiple submodule, subelement or Sub-component.
Module, unit or assembly in the embodiment of the present invention can realize in hardware, can also with one or The software mode run on multiple processors is realized, or is implemented in a combination thereof.It will be understood by those of skill in the art that Microprocessor or digital signal processor (DSP) can be used in practice to realize according to embodiments of the present invention.The present invention It is also implemented as some or all computer program products or computer for executing method as described herein On readable medium.

Claims (10)

1. a kind of Sleep Apnea-hypopnea Syndrome detection system, including data acquisition device (100) and analysis processing dress Set (200), wherein
The data acquisition device (100) includes electrocardio signal collecting unit (110) and blood oxygen signal acquisition unit (120), It is respectively used to the electrocardiosignal and blood oxygen signal of acquisition human body；
The analysis processing device (200) includes computing unit (210), is used to extract breathing letter from the electrocardiosignal Number, and calculating, which is exhaled, to be identified to apnea and breathing low pass gaseity in real time according to the breath signal and blood oxygen signal It inhales and suspends low ventilation index, and sleep quality state is analyzed, obtain analysis result.
2. Sleep Apnea-hypopnea Syndrome detection system as described in claim 1, which is characterized in that the extraction is exhaled The step of inhaling signal is to pass through EDR algorithm to extract breath signal.
3. Sleep Apnea-hypopnea Syndrome detection system as claimed in claim 2, which is characterized in that the EDR is calculated Method includes the following steps:
1) the 60Hz Hz noise in electrocardiosignal is filtered out；
2) position for detecting R wave determines the position of basic point between every two R wave wave crest to be used to obtain the base of electrocardiosignal Line, to remove the baseline drift of electrocardiosignal；
3) it detects R wave, obtains the R wave-amplitude modulated signal as caused by respiratory movement using interpolation, and pass through down-sampling peace Sliding processing obtains breath signal.
4. a kind of Sleep Apnea-hypopnea Syndrome detection system as claimed any one in claims 1 to 3, further includes Remote control apparatus (300) is used to be communicated with analysis processing device (200), for obtaining from analysis processing device (200) Must analyze as a result, to analysis processing device (200) send control instruction, to control the operation of analysis processing device (200).
5. a kind of Sleep Apnea-hypopnea Syndrome detection method, includes the following steps:
Acquire the electrocardiosignal and blood oxygen signal of human body；
Extract breath signal from the electrocardiosignal, and according to the breath signal and blood oxygen signal in real time to apnea and Breathing low pass gaseity is identified, is calculated apnea test, and analyze sleep quality state, is divided Analyse result.
6. Sleep Apnea-hypopnea Syndrome detection method as claimed in claim 5, which is characterized in that the extraction is exhaled The step of inhaling signal is to pass through EDR algorithm to extract breath signal.
7. Sleep Apnea-hypopnea Syndrome detection method as claimed in claim 6, which is characterized in that the EDR is calculated Method includes the following steps:
1) the 60Hz Hz noise in electrocardiosignal is filtered out；
2) position for detecting R wave determines the position of basic point between every two R wave wave crest to be used to obtain the base of electrocardiosignal Line, to remove the baseline drift of electrocardiosignal；
3) it detects R wave, obtains the R wave-amplitude modulated signal as caused by respiratory movement using interpolation, and pass through down-sampling peace Sliding processing obtains breath signal.
8. Sleep Apnea-hypopnea Syndrome detection method as claimed any one in claims 1 to 3 further includes that will divide The step of analysis result is sent to remote control apparatus.
9. a kind of equipment, including the computing unit (210) with data-handling capacity, the computing unit is wanted for perform claim Sleep Apnea-hypopnea Syndrome detection method described in asking any one of 5 to 7.
10. a kind of computer-readable medium, for storing computer program, the computer program can be executed to perform right It is required that Sleep Apnea-hypopnea Syndrome detection method described in any one of 5 to 7.
CN201811632895.5A 2018-12-29 2018-12-29 Sleep Apnea-hypopnea Syndrome detection system and method Pending CN109620208A (en)

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US11464446B2 (en) 2019-04-17 2022-10-11 Mediatek Inc. Physiological status monitoring apparatus and method
CN110151138A (en) * 2019-05-29 2019-08-23 中山大学 Sleep apnea segment detection method, equipment based on convolutional neural networks
CN110151138B (en) * 2019-05-29 2021-08-24 中山大学 Sleep apnea fragment detection method and device based on convolutional neural network
CN112022122A (en) * 2020-09-29 2020-12-04 深圳职业技术学院 Sleep monitoring earphone
CN113180691A (en) * 2020-12-28 2021-07-30 天津大学 Three-channel sleep apnea and hypopnea syndrome recognition device
CN113180691B (en) * 2020-12-28 2022-10-21 天津大学 Three-channel sleep apnea and hypopnea syndrome recognition device
CN113576401A (en) * 2021-06-11 2021-11-02 广东工业大学 Sleep apnea syndrome rapid diagnosis device based on convolutional neural network
CN116211256A (en) * 2023-03-16 2023-06-06 武汉理工大学 Non-contact sleep breathing signal acquisition method and device
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