CN106362282A - Method and device for treating central sleep apnea - Google Patents

Method and device for treating central sleep apnea Download PDF

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Publication number
CN106362282A
CN106362282A CN201610854183.2A CN201610854183A CN106362282A CN 106362282 A CN106362282 A CN 106362282A CN 201610854183 A CN201610854183 A CN 201610854183A CN 106362282 A CN106362282 A CN 106362282A
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signal
respiratory muscle
envelope
sleep apnea
respiratory
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黄晓蔚
宋祥锐
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Guangzhou Sherry Is Held High Bio Tech Ltd
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Guangzhou Sherry Is Held High Bio Tech Ltd
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00—Electrotherapy; Circuits therefor
    • A61N1/18—Applying electric currents by contact electrodes
    • A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/3601—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation of respiratory organs
    • 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
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/389—Electromyography [EMG]
    • 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
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7282—Event detection, e.g. detecting unique waveforms indicative of a medical condition
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00—Electrotherapy; Circuits therefor
    • A61N1/02—Details
    • A61N1/08—Arrangements or circuits for monitoring, protecting, controlling or indicating

Abstract

The invention discloses a method and device for treating the central sleep apnea. The method includes the following steps that: 1) the surface electromyographic signals of respiratory muscles are collected; 2) filtering is carried out, so that undesired components can be filtered out; 3) the envelope of the surface electromyographic signals is calculated; 4) respiratory muscle electric mark signals are generated; 5) the blood oxygen saturation of a patient is detected, and a blood oxygen saturation probe which clamps a finger can be adopted; and 6) if respiratory muscle electric mark signals have not been sampled for 10 consecutive seconds, and the blood oxygen saturation is reduced by more than 3%, in vitro pacing is performed on the respiratory muscles. The method and device for treating the central sleep apnea of the invention have the advantages of high accuracy, high effectiveness and good use effect.

Description

A kind of method and apparatus treating centric sleep apnea disease
[technical field]
The present invention relates to field of medical technology, more particularly, to a kind of method treating centric sleep apnea disease and dress Purchase.
[background technology]
Centric sleep apnea (csa) feature is the air-flow repeatedly causing because Central drive function is impaired during sleep Interrupt.Central respiratory arrest refers to asphyxia time >=10 second, respiratory motion.＞ 5 times per hour of generally this situation It is taken as abnormal.Csa syndrome refers to that during sleeping averagely more than 5 times central respiratory arrest per hour, and Sleep fragment (frequently awakening) related symptoms and/or Excessive daytime sleepiness occur.During obstructive apnea patient also can occur Pivot asphyxia, therefore should distinguish csa emphatically, although also not having absolute standard on this problem, generally to csa patient's Research requires 50% or even more than 80% symptom will meet central.The generally non-single factors induction of csa, therefore occurs in that big The syndrome of amount, and some potential pathophysiological mechanism are individually present.Cheyne-Stokes respiration (csr) and neuropathy, such as brain blood Pipe disease, dementia etc. are relevant, also often occur in heart failure patient, and feature is that breathing changes in crescendo diminuendo, in breathing Central respiratory arrest or low pass gas in the whole end of motion.Heart failure patient occur csr be due to circulation time extend and Caused by the synergy to hypercapnia increased response for the ventilatory control system high-gain.This synergy leads to control of ventilating Unstability and particular form periodic breathing.Constitutional csa feature is because hypercapnia causes depth ventilation anti- The unstable ventilation that should lead to.CSAS is a kind of disease having a strong impact on work and life, at present Treatment meanss extremely limited, predominantly improve heart failure therapy, positive airway pressure, night oxygen uptake etc..Improve heart failure Exhaust treatment, night oxygen uptake does not also have clear and definite conclusion for the definite curative effect of CSAS.Air flue is just Pressure ventilation therapy requires patient at night to use sleep-respiratory machine, but Most patients are for using sleep-respiratory being comfortable on property of machine Very poor it is impossible to adhere to for a long time.
The breathing related muscles of human body mainly have diaphram, intercostales externi, pectoralis major, abdominal muscle, sternocleidomastoid etc., its middle diaphragm Flesh and intercostales externi are topmost inspiratory muscless.During air-breathing, contraction of diaphragm, by thoracic cavity increases under diaphragm top；During expiration, diaphram relaxes , diaphragm top rises, and thoracic cavity reduces.During air-breathing, intercostales externi shrinks, and rib moves out upwards, and volume increases；During expiration, rib Between outer flesh diastole, the downward inward of rib, volume-diminished.During FI, except the contraction of diaphram, intercostales externi, breast is big Flesh, sternocleidomastoid etc. shrink, and participate in expansion thorax.During forced expiration, except the diastole of diaphram, intercostales externi, intercostal Interior flesh, abdominal muscle etc. shrink, and participate in shrinking thorax.
Research shows, the electromyographic signal of intake period inspiratory muscless occurs, with the increase of inspiratory effort, the myoelectricity of inspiratory muscless Signal also strengthens；And the electromyographic signal of inspiratory muscless disappears with the end of air-breathing and the beginning of expiration.Expiratory muscle during expiration Electromyographic signal occurs；And the electromyographic signal of expiratory muscle disappears with the beginning of the end exhaled and air-breathing.If can collect The electromyographic signal of respiratory muscle simultaneously carries out timing to myoelectrical activity it is possible to tentatively determine whether asphyxia.
Diaphram is topmost respiratory muscle, but surface diaphram electromyographic signal is very faint, and healthy individuals are in eupnea Surface electrode surveyed diaphram emg amplitude is about 10～100 μ v, is easily subject to multiple effect of noise.Simultaneously as the difference dissected The opposite sex, diaphram myoelectricity is affected by the distance of electrode and diaphram and diaphram muscle fiber distribution density etc., between Different Individual, with There is bigger difference in the diaphram emg amplitude of one individual different time sections.For ensureing high-acruracy survey diaphram electromyographic signal and reserving Certain allowance, required measurement range will be up to more than thousands of times.
Diaphram electromyographic signal is faint and is affected (as the flesh sexual organ such as heart, gastrointestinal and chest and abdomen muscle by many factors The interference of electrical activity, electrode position movement etc.), obtain stable diaphram electromyographic signal difficulty larger.
Also it is subject to the very big interference of electrocardiosignal when intercostales externi and pectoralis major, the surface electromyogram signal acquisition of abdominal muscle.
Because surface electromyography gathers very serious by the interference of the signals such as electrocardio during the electromyographic signal of breathing related muscles, hardly possible In extracting pure electromyographic signal so that the application of respiratory muscle surface electromyography is limited.
Chinese Patent Application No. cn 2574596a disclose a kind of sleep disordered breathing fast diagnose monitor device it is intended to Safely, quickly, easily obtain sleep apnea syndrome feature pathological parameter, general for realizing sleep apnea syndrome A kind of effective technological means of offer are provided, provide necessary monitoring for sleep apnea syndrome patient.It includes two spies Survey respirometric body position sensor, breath signal processor, dual signal correlation analysiss device, the end of record display respiration parameter End, controlable electric current switch and warning aid.When patient respiratory disorder in sleep, real time record shows key pathological Parameter, and automatically provide necessary relief.This device not disturbance general breathing process, can be greatly lowered sleep-respiratory temporary Stop the manufacturing cost of the syndrome diagnostic equipment, Domestic health-care monitoring device can also be become..
Cn 202505987u discloses a kind of sleep apnea therapy device based on external diaphragm pacing, by passing Sensor, diaphragm pacemaker and electrode composition, wherein, sensor is connected with diaphragm pacemaker, and diaphragm pacemaker is connected with electrode.Make Used time, when pneumatic sensor, sound transducer, abdominal exercise sensor or/and oxygen saturation sensor detect sleep-respiratory After time-out, output control signals to diaphragm pacemaker, pulse signal producer sends pulse signal according to preset program, passes through Electrode transmission electric pulse near the phrenic nervess of body surface, phrenic nervess are transferred to diaphram after being subject to impulse stimulation, make contraction of diaphragm, exhale Inhale and recover normal.This utility model all has good effect to central and obstructive sleep apnea, to central sleep Asphyxia is particularly evident.
Cn 103458781a discloses a kind of method and system of the centric sleep apnea of diagnosis patient, adopts Hardly combine the relatively short test of respiration parameter.Compared with the time-consuming and complicated multiparameter sleep study being usually used, The described testing time is short.Described patient uses positive airway pressure device, and defers to breathing prompting.In transmission breathing presentation period Between, the generation of central respiratory arrest can support the diagnosis to centric sleep apnea.
At present these technology come comparatively all fairly simple, be not carried out synchronization with human body natural's breathing it is possible to Conflict with human body natural's breathing, so that therapeutic effect is deteriorated.Surface diaphram electromyographic signal is very faint, and healthy individuals are in eupnea When surface electrode surveyed diaphram emg amplitude be about 10～100 μ v, easily be subject to multiple effect of noise.It is not carried out surface myoelectric Signal is applied to the treatment of CSAS
Through numerous studies for many years, the method that this patent provides successfully achieves surface electromyogram signal and is applied to maincenter The treatment of property sleep apnea syndrome.
[content of the invention]
The technical problem to be solved is to provide a kind of method treating centric sleep apnea disease, enters One step ground, the invention still further relates to a kind of should device in this way.
For solving above-mentioned technical problem, the realization of the method for the treatment of centric sleep apnea disease disclosed by the invention Journey comprises the following steps:
1), the surface electromyogram signal of collection respiratory muscle (including but not limited to diaphram, intercostales externi, pectoralis major, abdominal muscle), makes Improve the anti-common mode disturbances ability of collection amplifying circuit with magnifier and right leg drive, carry out multistage amplification；
2), low-pass filtering filters high frequency noise, and high-pass filtering filters polarizing voltage, artefact and labile element, trap and Comb filtering removes power frequency and its harmonic wave interference；
3) envelope, carrying out surface electromyogram signal calculates, and is realized using root mean square algorithm, envelope value represents flesh more than threshold value Meat shrinks, and threshold value determines according to the average of certain period envelope value；
4) produce respiratory muscle electric beacon signal, respiratory muscle electric beacon signal is used for the contractile motion of labelling respiratory muscle, due to Electrocardiosignal amplitude is typically larger than the electromyographic signal of respiratory muscle, but cardiac electrical short-time zero-crossing rate is much smaller than the zero passage in short-term of myoelectricity Rate, can distinguish the electromyographic signal of electrocardio or respiratory muscle with short-time zero-crossing rate；
5), detect the blood oxygen saturation of patient, it is possible to use be sandwiched in the blood oxygen saturation probe of finger；
6) if not sampling within continuous 10 seconds respiratory muscle electric beacon signal and blood oxygen saturation decrease beyond 3%, right Respiratory muscle is paced in vitro.
The condition that described respiratory muscle electric beacon signal produces is that the average envelope value in a certain short time is more than setting Threshold value and short-time zero-crossing rate are more than certain setting value.
Further, a kind of method treating centric sleep apnea disease, the method comprises the following steps:
1), functional requirement and parameter value
A, the output signal to body surface diaphragm muscle electronic measuring circuit are sampled and ad conversion, and precision is 12bit, sampling frequency Rate primary election 4k/s；
B, signal is made fourth order low-pass filtering and notch filter process；
C, calculating myoelectricity envelope, and form respiratory muscle electric beacon signal；
2), filtering, envelope calculate and synchronizing signal generation algorithm
A, fourth order low-pass filtering and notch filter
Low-pass filtering and notch filter, its pulsed transfer function is:
g ( z ) = a 0 + a 1 z - 1 + a 2 z - 2 + a 3 z - 3 + a 4 z - 4 + a 5 z - 5 + a 6 z - 6 1 + b 1 z - 1 + b 2 z - 2 + b 3 z - 3 + b 4 z - 4 + b 5 z - 5 + b 6 z - 6 - - - ( 1 )
Wherein g (z) represents the z-transform of the pulse train of system output variables, and note wave filter inputs and is output as u and y, then Its difference equation is expressed as:
Y (k)=- b1y(k-1)-b2y(k-2)-b3y(k-3)-b4y(k-4)-b5y(k-5)-b6y(k-6)+a0u(k)+a1u (k-1)+a2u(k-2)+a3u(k-3)+a4u(k-4)+a5u(k-5)+a6u(k-6) (2)
Wherein, parameter can determine according to the method for designing such as Butterworth LPF or continuous signal wave filter discretization, Notch filter only filters very narrow frequency range near 50/60hz, has substantially no effect on useful signal；
B, envelope calculate
Envelope calculates and has used for reference root mean square algorithm realization, and its computational methods is:
s u m ( k ) = σ i = 0 15 | y ( k - i ) | - - - ( 3 )
En (k)=0.125en (k-3)+0.25en (k-2)+0.25en (k-1)+0.125sum (k-2)+0.125sum (k- 1)+0.125sum(k)
(4)
Take en (k) as the envelope value of current time, more than threshold value, envelope value represents that respiratory muscle shrinks, threshold value is according to certain The average of period envelope value determines；
C, respiratory muscle electric beacon signal produce
Automatic Program statistics currently in some milliseconds envelope average, in this, as the threshold value judging；Program is pressed frame and is processed Data, single frames average envelope computational methods are:
a v g ( k ) = 1 7 σ i = 1 7 e n ( k - i ) - - - ( 5 )
Wherein, en (k-i) is formula (4) gained envelope value.And then according to (6) threshold value threshold；
t h r e s h o l d = 1 6 σ k = 1 6 a v g ( k ) - - - ( 6 )
Additionally, the condition that respiratory muscle electric beacon signal produces is: avg (k) ＞ threshold and cnt ＞ 4；
3), the condition that respiratory muscle is paced in vitro
The blood oxygen saturation of detection patient, it is possible to use be sandwiched in the blood oxygen saturation probe of finger；
If not sampling respiratory muscle electric beacon signal within continuous 10 seconds and blood oxygen saturation decreaseing beyond 3%, to exhaling Inhale flesh to be paced in vitro, respiratory muscle described herein includes but is not limited to diaphram, intercostales externi, abdominal muscle.
Described step 2) in c it is contemplated that electrocardiosignal amplitude is typically larger than the electromyographic signal of respiratory muscle, but its zero passage in short-term Rate is much smaller than the electromyographic signal of respiratory muscle, and therefore, when signal single frames average envelope exceedes threshold value, program is used in short-term further Zero-crossing rate come to distinguish its be shunk by electrocardio or respiratory muscle caused.
Described step 2) in c, short-time zero-crossing rate cnt calculation is: in single frames, peak amplitude exceedes threshold value c1The peak value points that threshold and adjacent valley are less than 0, wherein, proportionality coefficient c1Desirable 0.3～0.6.
Described notch filter can be for selecting 50hz.
Described notch filter can be for selecting 60hz.
Further, the present invention also provides the dress of a kind of above-mentioned method for the treatment of centric sleep apnea disease of application Put.
Described device is also equipped with display driver circuit and the display for display working condition, also has microprocessor Device, described microprocessor has display signal output part, and this display signal output part is connected with display through display driver circuit, Described device also has microprocessor, and described microprocessor has display signal output part, and this display signal output part is through display Drive circuit is connected with display, and described device also has power management module.
[specific embodiment]
One application specific embodiment of the present invention:
First, functional requirement and parameter value
1) output signal of body surface respiratory muscle myoelectricity measuring circuit is sampled and ad is changed, for example: precision 12bit, Sample frequency is 4k/s.
2) signal is made fourth order low-pass filtering (such as: cut-off frequency be 600hz) and notch filter (optional 50hz with 60hz) process.
3) high-pass filtering filters polarizing voltage, artefact and labile element, for example: cut-off frequency is 10hz.
4) calculate myoelectricity envelope, and form respiratory muscle electric beacon signal.
2nd, filtering, envelope calculate and respiratory muscle electric beacon signal generation algorithm
2.1st, fourth order low-pass filtering and notch filter
Low-pass filtering and notch filter, its pulsed transfer function is:
g ( z ) = a 0 + a 1 z - 1 + a 2 z - 2 + a 3 z - 3 + a 4 z - 4 + a 5 z - 5 + a 6 z - 6 1 + b 1 z - 1 + b 2 z - 2 + b 3 z - 3 + b 4 z - 4 + b 5 z - 5 + b 6 z - 6 - - - ( 1 )
Note wave filter inputs and is output as u and y respectively, then its difference equation is expressed as:
Y (k)=- b1y(k-1)-b2y(k-2)-b3y(k-3)-b4y(k-4)-b5y(k-5)-b6y(k-6)+a0u(k)+a1u (k-1)+a2u(k-2)+a3u(k-3)+a4u(k-4)+a5u(k-5)+a6u(k-6) (2)
Wherein, parameter can determine according to the method for designing such as Butterworth LPF or continuous signal wave filter discretization. Notch filter only filters very narrow frequency range near 50/60hz, has substantially no effect on useful signal.
2.2nd, envelope calculates
Envelope calculates and has used for reference root mean square algorithm realization, and its computational methods is:
s u m ( k ) = σ i = 0 15 | y ( k - i ) | - - - ( 3 )
En (k)=0.125en (k-3)+0.25en (k-2)+0.25en (k-1)+0.125sum (k-2)+0.125sum (k- 1)+0.125sum(k)
(4)
Take en (k) as the envelope value of current time.More than threshold value, envelope value represents that respiratory muscle shrinks.Threshold value is according to certain The average of period envelope value determines.
2.3rd, respiratory muscle electric beacon signal produces
Automatic Program statistics currently in some milliseconds envelope average, in this, as the threshold value judging.Program is pressed frame and is processed Data, single frames average envelope computational methods are:
a v g ( k ) = 1 7 σ i = 1 7 e n ( k - i ) - - - ( 5 )
Wherein, en (k-i) is formula (4) gained envelope value.And then according to (6) threshold value threshold.
t h r e s h o l d = 1 6 σ k = 1 6 a v g ( k ) - - - ( 6 )
In addition, it is contemplated that electrocardiosignal amplitude is typically larger than the electromyographic signal of respiratory muscle, but its short-time zero-crossing rate is much smaller than The electromyographic signal of respiratory muscle.Therefore, when signal single frames average envelope exceedes threshold value, program uses short-time zero-crossing rate further Distinguishing it is caused by electrocardio or respiratory muscle shrink.Short-time zero-crossing rate cnt calculation is: in single frames, peak amplitude exceedes Threshold value c1The peak value points that threshold and adjacent valley are less than 0, wherein, proportionality coefficient c1Desirable 0.3～0.6.
The condition that respiratory muscle electric beacon signal produces is: avg (k) ＞ threshold and cnt ＞ 4.
3rd, the condition that respiratory muscle is paced in vitro
The blood oxygen saturation of detection patient, it is possible to use be sandwiched in the blood oxygen saturation probe of finger.
If not sampling respiratory muscle electric beacon signal within continuous 10 seconds and blood oxygen saturation decreaseing beyond 3%, to exhaling Inhale flesh to be paced in vitro.Respiratory muscle described herein includes but is not limited to diaphram, intercostales externi, abdominal muscle.
It is understood that above specific embodiment is only the preferred embodiment of this creation, not in order to limit this Creation, any modification, equivalent substitution and improvement done within all spirit in the present invention and principle etc., should be included in this Within bright protection domain.

Claims (10)

1. a kind of method treating centric sleep apnea disease is it is characterised in that the method comprises the following steps:
1), the surface electromyogram signal of collection respiratory muscle (including but not limited to diaphram, intercostales externi, pectoralis major, abdominal muscle), using instrument Table amplifying circuit and right leg drive improve the anti-common mode disturbances ability gathering amplifying circuit, carry out multistage amplification；
2), low-pass filtering filters high frequency noise, and high-pass filtering filters polarizing voltage, artefact and labile element, trap and pectination Filtering removes power frequency and its harmonic wave interference；
3) envelope, carrying out surface electromyogram signal calculates, and is realized using root mean square algorithm, more than threshold value, envelope value represents that muscle is received Contracting, threshold value determines according to the average of certain period envelope value；
4) produce respiratory muscle electric beacon signal, respiratory muscle electric beacon signal is used for the contractile motion of labelling respiratory muscle, due to electrocardio Signal amplitude is typically larger than the electromyographic signal of respiratory muscle, but cardiac electrical short-time zero-crossing rate is much smaller than the short-time zero-crossing rate of myoelectricity, can To distinguish the electromyographic signal of electrocardio or respiratory muscle with short-time zero-crossing rate；
5), detect the blood oxygen saturation of patient, it is possible to use be sandwiched in the blood oxygen saturation probe of finger；
6) if not sampling respiratory muscle electric beacon signal within continuous 10 seconds and blood oxygen saturation decrease beyond 3%, to breathing Flesh is paced in vitro.
2. as claimed in claim 1 treatment centric sleep apnea disease method it is characterised in that: described respiratory muscle electric The condition that beacon signal produces is that average envelope value in a certain short time is more than the threshold value setting and short-time zero-crossing rate is big In certain setting value.
3. a kind of method treating centric sleep apnea disease is it is characterised in that the method comprises the following steps:
1), functional requirement and parameter value
A, the output signal to body surface diaphragm muscle electronic measuring circuit are sampled and ad conversion, and precision is at the beginning of 12bit, sample frequency Select 4k/s；
B, signal is made fourth order low-pass filtering and notch filter process；
C, calculating myoelectricity envelope, and form respiratory muscle electric beacon signal；
2), filtering, envelope calculate and synchronizing signal generation algorithm
A, fourth order low-pass filtering and notch filter
Low-pass filtering and notch filter, its pulsed transfer function is:
g ( z ) = a 0 + a 1 z - 1 + a 2 z - 2 + a 3 z - 3 + a 4 z - 4 + a 5 z - 5 + a 6 z - 6 1 + b 1 z - 1 + b 2 z - 2 + b 3 z - 3 + b 4 z - 4 + b 5 z - 5 + b 6 z - 6 - - - ( 1 )
Wherein g (z) represents the z-transform of the pulse train of system output variables, and note wave filter inputs and is output as u and y, then it is poor Equation is divided to be expressed as:
Y (k)=- b1y(k-1)-b2y(k-2)-b3y(k-3)-b4y(k-4)-b5y(k-5)-b6y(k-6)
+a0u(k)+a1u(k-1)+a2u(k-2)+a3u(k-3)+a4u(k-4)+a5u(k-5)+a6u(k-6) (2)
Wherein, parameter can determine according to the method for designing such as Butterworth LPF or continuous signal wave filter discretization, Notch filter only filters very narrow frequency range near 50/60hz, has substantially no effect on useful signal；
B, envelope calculate
Envelope calculates and has used for reference root mean square algorithm realization, and its computational methods is:
s u m ( k ) = σ i = 0 15 | y ( k - i ) | - - - ( 3 )
En (k)=0.125en (k-3)+0.25en (k-2)+0.25en (k-1)+0.125sum (k-2)+0.125sum (k-1)+ 0.125sum(k)
(4)
Take en (k) as the envelope value of current time, more than threshold value, envelope value represents that respiratory muscle shrinks, threshold value is according to certain period The average of envelope value determines；
C, respiratory muscle electric beacon signal produce
Automatic Program statistics currently in some milliseconds envelope average, in this, as the threshold value judging；Program presses frame processing data, Single frames average envelope computational methods are:
a v g ( k ) = 1 7 σ i = 1 7 e n ( k - i ) - - - ( 5 )
Wherein, en (k-i) is formula (4) gained envelope value.And then according to (6) threshold value threshold；
t h r e s h o l d = 1 6 σ k = 1 6 a v g ( k ) - - - ( 6 )
Additionally, the condition that respiratory muscle electric beacon signal produces is: avg (k) ＞ threshold and cnt ＞ 4；
3), the condition that respiratory muscle is paced in vitro
The blood oxygen saturation of detection patient, it is possible to use be sandwiched in the blood oxygen saturation probe of finger；
If not sampling respiratory muscle electric beacon signal within continuous 10 seconds and blood oxygen saturation decreaseing beyond 3%, to respiratory muscle Paced in vitro, respiratory muscle described herein includes but is not limited to diaphram, intercostales externi, abdominal muscle.
4. as claimed in claim 3 a kind of method treating centric sleep apnea disease it is characterised in that: described step 2) it is contemplated that electrocardiosignal amplitude is typically larger than the electromyographic signal of respiratory muscle in c, but its short-time zero-crossing rate is much smaller than respiratory muscle Electromyographic signal, therefore, when signal single frames average envelope exceedes threshold value, program to distinguish it with short-time zero-crossing rate further is Shunk caused by electrocardio or respiratory muscle.
5. as claimed in claim 3 a kind of method treating centric sleep apnea disease it is characterised in that: described step 2), in c, short-time zero-crossing rate cnt calculation is: in single frames, peak amplitude exceedes threshold value c1Threshold and adjacent valley is less than 0 peak value points, wherein, proportionality coefficient c1Desirable 0.3～0.6.
6. as claimed in claim 3 a kind of method treating centric sleep apnea disease it is characterised in that: described power frequency Trap can be for selecting 50hz.
7. as claimed in claim 3 a kind of method treating centric sleep apnea disease it is characterised in that: described power frequency Trap can be for selecting 60hz.
8. the device of a kind of method for the treatment of centric sleep apnea disease described in application claim 1-7.
9. a kind of device as claimed in claim 8 is it is characterised in that described device is also equipped with display driver circuit and is used for The display of display working condition, also has microprocessor, and described microprocessor has display signal output part, this display signal Outfan is connected with display through display driver circuit, and described device also has microprocessor, and described microprocessor has display Signal output part, this display signal output part is connected with display through display driver circuit.
10. a kind of device as claimed in claim 8 is it is characterised in that described device also has power management module.
CN201610854183.2A 2016-09-27 2016-09-27 Method and device for treating central sleep apnea Pending CN106362282A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108175406A (en) * 2017-12-14 2018-06-19 中山大学附属第医院 A kind of method and device for treating centric sleep apnea disease
CN108283489A (en) * 2017-12-16 2018-07-17 湖南明康中锦医疗科技发展有限公司 Sleep-respiratory system and method
CN108283490A (en) * 2017-12-16 2018-07-17 湖南明康中锦医疗科技发展有限公司 Sleep-respiratory system and method

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050011519A1 (en) * 2001-01-16 2005-01-20 Christer Sinderby Myoelectrically activated respiratory leak sealing
CN105193413A (en) * 2014-06-20 2015-12-30 德尔格医疗有限责任公司 Signal processing unit of an emg measuring system
CN105943040A (en) * 2016-06-03 2016-09-21 广州雪利昂生物科技有限公司 Method and device for treating central sleep apnea

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050011519A1 (en) * 2001-01-16 2005-01-20 Christer Sinderby Myoelectrically activated respiratory leak sealing
CN105193413A (en) * 2014-06-20 2015-12-30 德尔格医疗有限责任公司 Signal processing unit of an emg measuring system
CN105943040A (en) * 2016-06-03 2016-09-21 广州雪利昂生物科技有限公司 Method and device for treating central sleep apnea

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108175406A (en) * 2017-12-14 2018-06-19 中山大学附属第医院 A kind of method and device for treating centric sleep apnea disease
CN108283489A (en) * 2017-12-16 2018-07-17 湖南明康中锦医疗科技发展有限公司 Sleep-respiratory system and method
CN108283490A (en) * 2017-12-16 2018-07-17 湖南明康中锦医疗科技发展有限公司 Sleep-respiratory system and method

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