CN108283489A - Sleep-respiratory system and method - Google Patents
Sleep-respiratory system and method Download PDFInfo
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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
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4818—Sleep apnoea
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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
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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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
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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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
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/087—Measuring breath flow
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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
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/113—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb occurring during breathing
- A61B5/1135—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb occurring during breathing by monitoring thoracic expansion
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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
- A61B5/145—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
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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
- A61B5/145—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
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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
- A61B5/389—Electromyography [EMG]
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
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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
- A61B5/72—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
Abstract
The present invention provides a kind of domestic sleeping monitor system comprising oximetry data acquisition module, respiratory air flow data acquisition module, chest and abdomen exercise data acquisition module, every flesh electromyographic signal collection module, data prediction software and respiration case judge software.Compared with the relevant technologies, domestic sleeping of the invention monitoring system greatly improves the accuracy of respiration case judgement, has further expanded the sleep monitor function of lung ventilator terminal.The present invention also provides a kind of domestic sleeping monitoring methods comprising data collection steps, data prediction step and respiration case determination step.Compared with the relevant technologies, the accuracy higher of domestic sleeping monitoring method its respiration case judgement of the invention.
Description
Technical field
The present invention relates to home medical equipment technical field more particularly to a kind of sleep-respiratory system and methods.
Background technology
Sleep is a vital movement closely bound up with human health, and it is in sleep that body, which has many physiological activities all,
It carries out.With the propulsion of theoretical research, the understanding of sleep is continuously improved in people, while pair also adding with the relevant illness of sleep
Deep concern.Sleep quality directly affects the health status of human body.Since the social pressures of people in recent years are increasing, sleep
Problem has become one of focal issue of social concerns.
Obstruction sleep apnea-hypopnea syndrome (OSAHS) refers to that patient breathes repeatedly in sleep procedure
Pause and low pass gas.Since corticocerebral awakening and waking response occurs repeatedly in night, ortho structure and the rhythm and pace of moving things are broken
Bad, Sleep efficiency is substantially reduced, and drowsiness, decrease of memory occurs in daytime, and decrease of cognitive function occurs in severe patient, abnormal behavior,
It is now recognized that OSAHS is a kind of systemic disease, at the same be again cause sudden death, road traffic accident major reason, be one
Serious social concern.The standard approach of diagnosis OSAHS is more conductive physiologic sleep detectors (PSG) monitorings whole night.PSG is supervised
The physiological parameter of survey is more, is conducive to Physician Global judgement and provides accurate diagnostic result.But simultaneously because the sensing that PSG is used
Device is numerous, and majority is placed in head and face, is some than more sensitive position, in addition, since equipment volume is big, inconvenience moves
Dynamic, patient need to be hospitalized and monitor, and the influence of the change and monitoring device that thus bring sleep environment leads to difficulty falling asleep, influences instead
The accuracy of diagnosis.Also, monitoring device is expensive, complicated for operation, it is difficult to promote and apply in the family.So domestic sleeping
Monitoring is of great significance for the diagnosis of OSAHS and therapeutic effect assessment.
And often there is sleep in currently used domestic sleeping monitoring device due to monitoring data type and the limitation of algorithm
Event judges the lower deficiency of accuracy.
Therefore, it is really necessary to provide a kind of new sleep-respiratory system and method to overcome above-mentioned technical problem.
Invention content
In order to solve the above technical problems, the present invention provides a kind of sleep-respiratory system and methods.
A kind of sleep-respiratory system provided by the invention comprising：
Oximetry data acquisition module acquires blood oxygen concentration and heart rate data；
Respiratory air flow data acquisition module acquires respiratory air flow data on flows；
Chest and abdomen exercise data acquisition module measures respiratory effort state, calculates inductance variable quantity data；
Every flesh electromyographic signal collection module, the electrical signal data generated by diaphram contraction of muscle is acquired；
Data prediction software calculates the maximum value and minimum of each respiratory cycle according to respiratory air flow data on flows
Value；
Respiration case judges software, and carrying out oxygen according to the blood oxygen concentration data subtracts event judgement；According to each breathing week
The maximum value of phase respiratory air flow flow subtracts the amplitude of minimum value calculated each respiratory cycle, carries out amplitude baseline value presence
Whether judgement, after judgement amplitude baseline value exists continuous improper amplitude is set as respiration case judges section, in conjunction with
The respiratory air flow data on flows, inductance variable quantity data and electrical signal data carry out apnea judgement, in conjunction with institute
It states respiratory air flow data on flows and blood oxygen concentration data carries out the judgement of low pass gas event.
Preferably, the sleep-respiratory system includes lung ventilator terminal, data acquisition peripheral hardware and Cloud Server, described to exhale
Suction machine terminal is configured with the oximetry data acquisition module, respiratory air flow data acquisition module and data prediction software, institute
It includes the chest and abdomen exercise data acquisition module and every flesh electromyographic signal collection module, the cloud service to state data acquisition peripheral hardware
Device judges software configured with respiration case.
Preferably, the lung ventilator terminal is by the maximum value of the data prediction software calculated each respiratory cycle
With minimum value data transmission to Cloud Server, the data acquire peripheral hardware by the inductance variable quantity data and electrical signal data
It is transmitted to the lung ventilator terminal, then the lung ventilator terminal transmission is to the Cloud Server.
Preferably, the data acquire peripheral hardware by bluetooth, wifi, Serial Port Line or USB modes to the lung ventilator terminal
Carry out data transmission.
Preferably, the lung ventilator terminal wirelessly carries out data transmission the Cloud Server.
Preferably, the oximetry data acquisition module includes blood oxygen probe, and the respiratory air flow data acquisition module includes
Flow sensor.
Preferably, the chest and abdomen exercise data acquisition module includes RIP chest and abdomen bands, the diaphram electromyographic signal collection module
Including surface electrode.
The present invention also provides a kind of sleep-respiratory methods comprising following steps：
S1, data acquisition：
Oximetry data acquisition module acquires blood oxygen concentration and heart rate data；
Respiratory air flow data acquisition module acquires respiratory air flow data on flows；
Chest and abdomen exercise data acquisition module measures respiratory effort state, calculates inductance variable quantity data；
Every flesh electromyographic signal collection module, the electrical signal data generated by diaphram contraction of muscle is acquired；
Data prediction software calculates each respiratory cycle respiratory air flow flow most according to respiratory air flow data on flows
Big value and minimum value；
S2, data prediction, include the following steps：
S2.1, eliminated using limit filtration and moving average filter mode shake in respiratory air flow data on flows waveform and
Partial noise,
The minimum value calculating of S2.2, respiratory cycle respiratory air flow flow, include the following steps：
S2.2.1, the real-time respiratory air flow data on flows of comparison value whether be less than previous minimum value, if so, by exhaling in real time
Minimum value of the value of inspiratory flow data on flows as the respiratory cycle, duration zero setting, if it is not, then jumping to step
S2.2.2；
S2.2.2, the real-time respiratory air flow data on flows of comparison value whether be more than flow baseline value, if so, jumping to step
Rapid S2.2.3, if it is not, then the more previous minimum value duration whether less than 5 seconds, if being less than 5 seconds, terminates the respiratory cycle
The minimum value of respiratory air flow flow calculates, if more than or be equal to 5 seconds, then jump to step S2.2.3；
Whether S2.2.3, the previous minimum value of comparison are less than flow baseline value, if so, using previous minimum value as the breathing
The minimum value in period, if it is not, the minimum value for then terminating the respiratory cycle respiratory air flow flow calculates,
Wherein, previous minimum value is that the value of real-time respiratory air flow data on flows is exhaled with some of its time interval minimum before
The minimum value of period respiratory air flow flow is inhaled, the initial minimum of previous minimum value is flow baseline value, and flow baseline value is zero
Flow or the corresponding AD values of zero delivery,
The maximum value calculation of S2.3, respiratory cycle respiratory air flow flow, include the following steps：
S2.3.1, the real-time respiratory air flow data on flows of comparison value whether be more than previous maximum value, if so, by exhaling in real time
Maximum value of the value of inspiratory flow data on flows as the respiratory cycle respiratory air flow flow, duration zero setting, if it is not, then redirecting
To step S2.3.2；
S2.3.2, the real-time respiratory air flow data on flows of comparison value whether be less than flow baseline value, if it is not, then jumping to step
Rapid S2.3.3 terminates the respiratory cycle if less than 5 seconds and exhales if so, whether the more previous maximum value duration is less than 5 seconds
The maximum value calculation of inspiratory flow flow, if more than or be equal to 5 seconds, then jump to step S2.3.3；
Whether S2.3.3, the previous maximum value of comparison are more than flow baseline value, if so, using previous maximum value as the breathing
The maximum value in period, if it is not, then terminate the maximum value calculation of the respiratory cycle respiratory air flow flow,
Wherein, previous maximum value is that the value of real-time respiratory air flow data on flows is exhaled with some of its time interval minimum before
The maximum value of period respiratory air flow flow is inhaled, the original maximum of previous maximum value is flow baseline value, and flow baseline value is zero
Flow or the corresponding AD values of zero delivery,
S3, respiration case judgement, include the following steps：
S3.1, event judgement is subtracted according to the blood oxygen concentration data of acquisition progress oxygen；
S3.2, the amplitude for calculating each effectively respiratory cycle；
S3.3, judge that the amplitude baseline value of respiration case judgement whether there is, and if it exists, step S3.4 is then jumped to, if
It is not present, then the amplitude after calculating amplitude baseline value and handling；
S3.4, continuous improper amplitude is set as to respiration case judgement section, if respiration case judgement section is held
The continuous time is less than 10 seconds, then skips the amplitude after respiration case judgement section processing；If the respiration case judges area
Between the duration be more than 2 minutes, then remove current amplitude baseline value, the amplitude after continuing with；Otherwise step is jumped to
S3.5；
S3.5, apnea and the judgement of low pass gas event are carried out；
Wherein, in step S3.2, the amplitude of each effectively respiratory cycle is calculated as each effective respiratory cycle respiratory air flow
The maximum value of flow subtracts the difference obtained by minimum value, and in step S3.3, amplitude baseline value is calculated as：Establish a length
For 2 minutes time slip-windows, for preserving the amplitude data in this period, after obtaining an amplitude every time, if when sliding
Between in window first element time and the last one element time differ by more than 2 minutes, then delete first element, sliding time
Window translates backward, remains that the time difference of first element and the last one element is no more than 2 minutes in time slip-window, right
Element in time slip-window is averaged, and as real-time amplitude baseline value, the last one described element time is each to exhale
Inhale the time that maximum value occurs in the period.
Preferably, in step S3.1, oxygen subtracts event judgement：Compare blood oxygen concentration successively, if blood oxygen concentration continuously drops to
Lack 4%, and fall time is more than 10 seconds, then is determined as that oxygen subtracts event.
Preferably, in step S3.5, the judgement of apnea：Judge that the starting point in section is opened from the respiration case
Begin, finds out the waveform that first meets the requirement of apnea amplitude and be denoted as starting point, find out first and do not meet apnea
The waveform that event amplitude requires is denoted as terminal, forms apnea and judges section, judges the apnea judgement
Whether the section duration is greater than or equal to 10 seconds, if it is not, then apnea judgement section is determined as normally；If
It is then to judge that the waveform segment of the electrical signal data in apnea judgement section whether there is and front and back adjacent wave
The phenomenon that shape section declines compared to amplitude, if being not present, apnea judgement section is determined as normally, and if it exists,
Then further judge that apnea judgement section whether there is the inductance variable quantity data, if the electricity is not present
Feel variable quantity data, then judges center of origin type apnea, if there are the inductance variable quantity data, be determined as obstructive
Apnea, apnea judgement section is apnea section；
Low pass gas event judges：Since the respiration case judges section starting point, finds out first and meet low pass gas thing
The waveform that part amplitude requires is denoted as starting point, then finds out the waveform that first does not meet the requirement of low pass gas event amplitude and be denoted as terminal,
It forms low pass gas event and judges section, and judge the time difference between waveform and thereafter adjacent waveform successively, if the time difference is less than
Or equal to 10 seconds, then low pass gas event judgement section is determined as normal interval；If the time difference be more than 10 seconds, with this two
A amplitude is boundary, is two sections by low pass gas event judgement interval division, if the previous section in two sections continues
Time is more than 10 seconds, then carries out blood oxygen correlated judgment to the preceding whole blood oxygen judgement section of previous section and extension section composition,
If blood oxygen concentration continuously declines at least 4% in whole blood oxygen judgement section before described, it is determined as low pass gas event section, it is no
Then, it is determined as normal interval；If the latter section duration in two sections is more than 10 seconds, to latter section and region of elongation
Between the rear whole blood oxygen judgement section that forms carry out blood oxygen correlated judgment, if blood oxygen concentration in whole blood oxygen judgement section after described
It is continuous to decline at least 4%, then it is determined as low pass gas event section, otherwise, it is determined that being normal interval.
Compared with the relevant technologies, the sleep-respiratory system that invention provides, by introducing less data acquisition
Module, you can realize domestic sleeping monitoring function, it is at least to introduce compared with domestic sleeping monitoring device in the related technology more
Chest and abdomen exercise data acquisition module and every flesh electromyographic signal collection module, in conjunction with inductance variable quantity data and electrical signal data pair
Respiration case is judged, the accuracy of respiration case judgement is greatly improved；Sentenced using data prediction and respiration case
Fixed this two-stage data processing method, further improves the accuracy of respiration case judgement；What is more important, it is described to sleep
Dormancy respiratory system has expanded the function of lung ventilator terminal, it is only necessary to newly-increased diaphram electromyographic signal collection, chest and abdomen exercise data acquisition this
Two peripheral hardwares judge software in being equipped with data prediction software in lung ventilator terminal in being newly equipped with respiration case on Cloud Server,
Lung ventilator terminal can be made to have both lung ventilator device attribute and domestic sleeping monitoring device attribute, it can be achieved that not starting lung ventilator
In the case for the treatment of, sleep monitor function is run, and it is functional not influence lung ventilator terminal, and Cloud Server itself is
A large amount of lung ventilator terminals and set, in being equipped with new software on Cloud Server, can more effectively improve resource utilization；In addition, phase
The domestic sleeping monitoring device of pass technology, data storage generally require first to carry out manual setting in equipment, then could lead to
It crosses USB modes and is connected to the terminals such as computer and carry out data transmission, step is comparatively laborious, and storage size is limited, also easily causes
Shortage of data, and sleep-respiratory system provided by the invention is relied on, lung ventilator terminal can be in real time wirelessly to cloud service
Device carries out data transmission, and more can carry out data storage and analysis by Cloud Server, operate more convenient, safety higher.
Sleep-respiratory method provided by the invention, increases the type of monitoring data, is that the judgement of follow-up respiration case increases
Add data foundation, greatly improves the accuracy of respiration case judgement；This is judged using data prediction and respiration case
Kind two-stage data processing method, including data preprocessing phase, the maximum value and minimum calculation method of introducing, and breathing thing
The dynamic amplitudes baseline value calculating method that part decision stage introduces further improves the accuracy of respiration case judgement.
Description of the drawings
Fig. 1 is sleep breathing monitoring system structure diagram；
Fig. 2 is respiratory cycle respiratory air flow flow minimum calculation flow chart；
Fig. 3 is respiratory cycle respiratory air flow flow maximum calculation flow chart；
Fig. 4 is that respiration case judges general flow chart.
Specific implementation mode
To facilitate the understanding of the present invention, below with reference to relevant drawings to invention is more fully described.In attached drawing
Give the preferred embodiment of the present invention.But the present invention can realize in many different forms, however it is not limited to herein
Described embodiment.Keep the understanding to the disclosure more saturating on the contrary, purpose of providing these embodiments is
It is thorough comprehensive.
Shown in referring to Fig.1, present embodiments provide for a kind of sleep-respiratory systems, including：Including lung ventilator terminal, data
Acquire peripheral hardware and Cloud Server, lung ventilator terminal configured with oximetry data acquisition module, respiratory air flow data acquisition module with
And data prediction software, data acquisition peripheral hardware includes chest and abdomen exercise data acquisition module and every flesh electromyographic signal collection mould
Block, Cloud Server judge software configured with respiration case.
Oximetry data acquisition module acquires blood oxygen concentration and heart rate data, and is transferred to lung ventilator terminal；
Respiratory air flow data acquisition module acquires respiratory air flow data on flows, and is transferred to lung ventilator terminal；
Chest and abdomen exercise data acquisition module measures respiratory effort state, calculates inductance variable quantity data；
Every flesh electromyographic signal collection module, the electrical signal data generated by diaphram contraction of muscle is acquired；
Data prediction software calculates the maximum value and minimum of each respiratory cycle according to respiratory air flow data on flows
Value；
Respiration case judges software, and carrying out oxygen according to blood oxygen concentration data subtracts event judgement；It is exhaled according to each respiratory cycle
The maximum value of inspiratory flow flow subtracts the amplitude of minimum value calculated each respiratory cycle, carries out amplitude baseline value presence or absence
Judgement, after judgement amplitude baseline value exists continuous improper amplitude is set as respiration case judges section, in conjunction with breathing
Air flow rate data, inductance variable quantity data and electrical signal data carry out apnea judgement, in conjunction with respiratory air flow stream
It measures data and blood oxygen concentration data carries out the judgement of low pass gas event.
Further, lung ventilator terminal is by the maximum value and minimum of data prediction software calculated each respiratory cycle
Inductance variable quantity data and electrical signal data are transmitted to breathing by Value Data real-time Transmission to Cloud Server, data acquisition peripheral hardware
Machine terminal, and by lung ventilator terminal Cloud Server is transmitted to according to the storing frequencies of 10HZ.
Further, data acquisition peripheral hardware by bluetooth, wifi, Serial Port Line or USB modes to lung ventilator terminal into line number
According to transmission.
Further, lung ventilator terminal wirelessly carries out data transmission Cloud Server.
More specifically, oximetry data acquisition module includes blood oxygen probe, and respiratory air flow data acquisition module includes flow
Sensor.
Blood oxygen probe utilizes the original that hemoglobin is different to the absorption coefficient of different wave length with oxyhemoglobin in blood
Reason, detection light emitting diode penetrate the remaining optical signal after tissue, and blood oxygen concentration and heart rate are measured by converting to calculate to reach
Purpose.
The flow sensor that present embodiment uses is differential flow sensor, by one of pressure measurement hole plug, together
When another pressure tap is connect with the nasal oxygen tube of lung ventilator terminal, detect respiratory air flow, and be translated into related to flow
Pressure drop, and the pressure difference between the size of flow and two pressure taps is directly proportional, is changed according to bernoulli law and mass conservation law
Calculate respiratory air flow flow.
More specifically, chest and abdomen exercise data acquisition module includes RIP chest and abdomen bands, the diaphram electromyographic signal collection module
Including surface electrode.
RIP chest and abdomen bands refer to respiratory inductive plethysmography, utilize the base of electromagnetic induction for detecting chest and abdomen movement, RIP
Present principles measure respiratory effort situation, two insulated coils for bending to sinusoidal are wound by elastic ligature respectively tested
The chest and abdomen of person, respiratory movement can be flexible with dynamic elasticity ligature so that the sectional area that coil surrounds changes, and then leads
Induced coil inductance value changes, and converts inductance variable quantity by calculating, can detect that the respiratory effort situation of tester.
Surface electrode is used to detect the electromyography signal of diaphram, and the contraction of muscle will produce action potential, and then generate telecommunications
Number, electromyography signal belongs to electro-physiological signals, can directly be detected by electrode.
Present embodiments provide for a kind of sleep-respiratory method is additionally provided, include the following steps：
Step S1, data acquire：
Oximetry data acquisition module acquires blood oxygen concentration and heart rate data；
Respiratory air flow data acquisition module acquires respiratory air flow data on flows；
Chest and abdomen exercise data acquisition module measures respiratory effort state, calculates inductance variable quantity data；
Every flesh electromyographic signal collection module, the electrical signal data generated by diaphram contraction of muscle is acquired；
Data prediction software calculates each respiratory cycle respiratory air flow flow most according to respiratory air flow data on flows
Big value and minimum value；
Step S2, data prediction includes the following steps：
Step S2.1, trembling in respiratory air flow data on flows waveform is eliminated using limit filtration and moving average filter mode
Dynamic and partial noise,
With reference to shown in Fig. 2, step S2.2, the minimum value of respiratory cycle respiratory air flow flow calculates, and includes the following steps：
Step S2.2.1, whether the value of the real-time respiratory air flow data on flows of comparison is less than previous minimum value, if so, by real
When respiratory air flow data on flows minimum value of the value as the respiratory cycle, duration zero setting, if it is not, then jumping to step
S2.2.2；
Step S2.2.2, whether the value of the real-time respiratory air flow data on flows of comparison is more than flow baseline value, if so, redirecting
To step S2.2.3, if it is not, then the more previous minimum value duration whether less than 5 seconds, if being less than 5 seconds, terminates the breathing
The minimum value of period respiratory air flow flow calculates, if more than or be equal to 5 seconds, then jump to step S2.2.3；
Step S2.2.3, whether the previous minimum value of comparison is less than flow baseline value, if so, using previous minimum value as this
The minimum value of respiratory cycle, if it is not, the minimum value for then terminating the respiratory cycle respiratory air flow flow calculates,
Wherein, previous minimum value is that the value of real-time respiratory air flow data on flows is exhaled with some of its time interval minimum before
The minimum value of period respiratory air flow flow is inhaled, the initial minimum of previous minimum value is flow baseline value, and flow baseline value is zero
Flow or the corresponding AD values of zero delivery,
With reference to shown in Fig. 3, step S2.3, the maximum value calculation of respiratory cycle respiratory air flow flow, includes the following steps：
Step S2.3.1, whether the value of the real-time respiratory air flow data on flows of comparison is more than previous maximum value, if so, by real
When respiratory air flow data on flows maximum value of the value as the respiratory cycle respiratory air flow flow, duration zero setting, if it is not, then
Jump to step S2.3.2；
Step S2.3.2, whether the value of the real-time respiratory air flow data on flows of comparison is less than flow baseline value, if it is not, then redirecting
Terminate breathing week if less than 5 seconds to step S2.3.3 if so, whether the more previous maximum value duration is less than 5 seconds
The maximum value calculation of phase respiratory air flow flow, if more than or be equal to 5 seconds, then jump to step S2.3.3；
Step S2.3.3, whether the previous maximum value of comparison is more than flow baseline value, if so, using previous maximum value as this
The maximum value of respiratory cycle, if it is not, then terminate the maximum value calculation of the respiratory cycle respiratory air flow flow,
Wherein, previous maximum value is that the value of real-time respiratory air flow data on flows is exhaled with some of its time interval minimum before
The maximum value of period respiratory air flow flow is inhaled, the original maximum of previous maximum value is flow baseline value, and flow baseline value is zero
Flow or the corresponding AD values of zero delivery,
With reference to shown in Fig. 4, step S3, respiration case judges, includes the following steps：
Step S3.1, it carries out oxygen according to the blood oxygen concentration data of acquisition and subtracts event judgement；
Step S3.2, the amplitude of each effectively respiratory cycle is calculated；
Step S3.3, judge that the amplitude baseline value of respiration case judgement whether there is, and if it exists, then jump to step
S3.4, if being not present, the amplitude after calculating amplitude baseline value and handling；
Step S3.4, continuous improper amplitude is set as respiration case and judges section, if the respiration case judges area
Between the duration be less than 10 seconds, then skip the amplitude after respiration case judgement section processing；If the respiration case is sentenced
The section duration is determined more than 2 minutes, then removes current amplitude baseline value, the amplitude after continuing with；Otherwise it jumps to
Step S3.5；
Step S3.5, apnea is carried out with low pass gas event to judge；
Wherein, in step S3.2, the amplitude of each effectively respiratory cycle is each effectively respiratory cycle respiratory air flow flow
Maximum value subtract the difference obtained by minimum value, in step S3.3, amplitude baseline value is calculated as：It is 2 points to establish a length
The time slip-window of clock, for preserving the amplitude data in this period, after obtaining an amplitude every time, if in time slip-window
First element time and the last one element time differ by more than 2 minutes, then delete first element, time slip-window is backward
Translation remains that the time difference of first element and the last one element is no more than 2 minutes in time slip-window, when to sliding
Between element in window average, as real-time amplitude baseline value, the last one described element time is each respiratory cycle
The time that middle maximum value occurs.
More specifically, in step S3.1, oxygen subtracts event judgement：Compare blood oxygen concentration successively, if under blood oxygen concentration is continuous
It is down to few 4%, and fall time is more than 10 seconds, then is determined as that oxygen subtracts event.
More specifically, in step S3.5, the judgement of apnea：Judge that the starting point in section is opened from respiration case
Begin, finds out the waveform that first meets the requirement of apnea amplitude and be denoted as starting point, find out first and do not meet apnea
The waveform that event amplitude requires is denoted as terminal, forms apnea and judges section, judges that apnea judges section
Whether the duration is greater than or equal to 10 seconds, is determined as normally if it is not, then inhaling suspending event event judgement section, if so, into
One step judges that the waveform segment of electrical signal data in apnea judgement section whether there is compared with front and back adjacent waveform segment
The phenomenon that amplitude declines inhales suspending event judgement section and is determined as normally if the phenomenon is not present, if there are the phenomenon,
Further judge that apnea judgement section whether there is inductance variable quantity data, if inductance variable quantity data are not present,
Then judge center of origin type apnea, if there are inductance variable quantity data, is determined as obstructive apnea, apnea
Event judges that section is apnea section；
Low pass gas event judges：Since the respiration case judges section starting point, finds out first and meet low pass gas thing
The waveform that part amplitude requires is denoted as starting point, then finds out the waveform that first does not meet the requirement of low pass gas event amplitude and be denoted as terminal,
It forms low pass gas event and judges section, and judge the time difference between waveform and thereafter adjacent waveform successively, if the time difference is less than
Or be equal to 10 seconds, then it is determined as normal；If the time difference is more than 10 seconds, using the two amplitudes as boundary, by the low pass gas event
Judgement interval division is that two sections are determined as if the previous section duration in two sections is less than or equal to 10 seconds
Otherwise normal interval carries out blood oxygen correlated judgment to the preceding whole blood oxygen judgement section of previous section and extension section composition, if
Blood oxygen concentration continuously declines at least 4% in whole blood oxygen judgement section before described, then is determined as low pass gas event section, otherwise,
It is determined as normal interval；If the latter section duration in two sections is less than or equal to 10 seconds, it is determined as normal interval, it is no
Blood oxygen correlated judgment then is carried out to the rear whole blood oxygen judgement section of latter section and extension section composition, if the rear whole blood
Oxygen judges that blood oxygen concentration continuously declines at least 4% in section, then is determined as low pass gas event section, otherwise, it is determined that being normal area
Between.Wherein, the section that extends can be configured by user in the section that software gives.
The sleep-respiratory system and method that present embodiment provides is usually monitoring sample with the sleep cycle of user
This, a sleep cycle generally refers to this period waken up to morning of falling asleep at night.By to upper in a sleep cycle
It states data to be monitored, can be formed containing respiration case judgement sleep monitor report.
Compared with the relevant technologies, sleep-respiratory system provided by the invention, by introducing less data acquisition module, i.e.,
Domestic sleeping monitoring function can be achieved, it is at least to introduce chest and abdomen fortune compared with domestic sleeping monitoring device in the related technology more
Dynamic data acquisition module and every flesh electromyographic signal collection module, in conjunction with inductance variable quantity data and electrical signal data to breathing thing
Part is judged, the accuracy of respiration case judgement is greatly improved；It is this using data prediction and respiration case judgement
Two-stage data processing method further improves the accuracy of respiration case judgement；What is more important, the sleep-respiratory
System has expanded the function of lung ventilator terminal, it is only necessary to which newly-increased diaphram electromyographic signal collection, chest and abdomen exercise data acquisition are outside the two
If in being equipped with data prediction software in lung ventilator terminal, software is judged in being newly equipped with respiration case on Cloud Server, you can make
Lung ventilator terminal has both lung ventilator device attribute and domestic sleeping monitoring device attribute, it can be achieved that not starting respirator treatment
In the case of, sleep monitor function is run, and it is functional not influence lung ventilator terminal, and Cloud Server itself is largely to exhale
Suction machine terminal and set, in being equipped with new software on Cloud Server, can more effectively improve resource utilization；In addition, the relevant technologies
Domestic sleeping monitoring device, data storage generally require first manual setting is carried out in equipment, then could pass through the side USB
Formula is connected to the terminals such as computer and carries out data transmission, and step is comparatively laborious, and storage size is limited, also easily causes data and lacks
It loses, and relies on sleep-respiratory system provided by the invention, lung ventilator terminal can in real time wirelessly carry out Cloud Server
Data transmission more can carry out data storage and analysis by Cloud Server, operate more convenient, safety higher.Certainly, can
In the case of row, also directly software configuration can be judged in lung ventilator terminal respiration case.
Sleep-respiratory method provided by the invention, increases the type of monitoring data, is that the judgement of follow-up respiration case increases
Add data foundation, greatly improves the accuracy of respiration case judgement；This is judged using data prediction and respiration case
Kind two-stage data processing method, including data preprocessing phase, maximum value and the minimum value calculating of introducing and respiration case are sentenced
The dynamic amplitudes baseline value for determining stage introducing further improves the accuracy of respiration case judgement.
Example the above is only the implementation of the present invention is not intended to limit the scope of the invention, every to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of sleep-respiratory system, which is characterized in that including：
Oximetry data acquisition module acquires blood oxygen concentration and heart rate data；
Respiratory air flow data acquisition module acquires respiratory air flow data on flows；
Chest and abdomen exercise data acquisition module measures respiratory effort state, calculates inductance variable quantity data；
Every flesh electromyographic signal collection module, the electrical signal data generated by diaphram contraction of muscle is acquired；
Data prediction software calculates the maximum value and minimum value of each respiratory cycle according to respiratory air flow data on flows；
Respiration case judges software, and carrying out oxygen according to the blood oxygen concentration data subtracts event judgement；It is exhaled according to each respiratory cycle
The maximum value of inspiratory flow flow subtracts the amplitude of minimum value calculated each respiratory cycle, carries out amplitude baseline value presence or absence
Judgement, after judgement amplitude baseline value exists continuous improper amplitude is set as respiration case judges section, in conjunction with described
Respiratory air flow data on flows, inductance variable quantity data and electrical signal data carry out apnea judgement, are exhaled in conjunction with described
Inspiratory flow data on flows and blood oxygen concentration data carry out the judgement of low pass gas event.
2. sleep-respiratory system according to claim 1, which is characterized in that acquire peripheral hardware including lung ventilator terminal, data
And Cloud Server, the lung ventilator terminal configured with the oximetry data acquisition module, respiratory air flow data acquisition module with
And data prediction software, data acquisition peripheral hardware include the chest and abdomen exercise data acquisition module and every flesh electromyography signal
Acquisition module, the Cloud Server judge software configured with respiration case.
3. sleep-respiratory system according to claim 2, which is characterized in that the lung ventilator terminal locates the data in advance
The maximum value and minimum value data transmission of reason software calculated each respiratory cycle to Cloud Server, the data acquire peripheral hardware
The inductance variable quantity data and electrical signal data are transmitted to the lung ventilator terminal, then the lung ventilator terminal transmission is extremely
The Cloud Server.
4. sleep-respiratory system according to claim 3, which is characterized in that data acquisition peripheral hardware by bluetooth,
Wifi, Serial Port Line or USB modes carry out data transmission the lung ventilator terminal.
5. sleep-respiratory system according to claim 4, which is characterized in that the lung ventilator terminal is wirelessly right
The Cloud Server carries out data transmission.
6. sleep-respiratory system according to claim 5, which is characterized in that the oximetry data acquisition module includes blood oxygen
Probe, the respiratory air flow data acquisition module includes flow sensor.
7. sleep-respiratory system according to claim 5, which is characterized in that the chest and abdomen exercise data acquisition module includes
RIP chest and abdomen bands, the diaphram electromyographic signal collection module includes surface electrode.
8. a kind of sleep-respiratory method, which is characterized in that include the following steps：
S1, data acquisition：
Oximetry data acquisition module acquires blood oxygen concentration and heart rate data；
Respiratory air flow data acquisition module acquires respiratory air flow data on flows；
Chest and abdomen exercise data acquisition module measures respiratory effort state, calculates inductance variable quantity data；
Every flesh electromyographic signal collection module, the electrical signal data generated by diaphram contraction of muscle is acquired；
Data prediction software calculates the maximum value of each respiratory cycle respiratory air flow flow according to respiratory air flow data on flows
And minimum value；
S2, data prediction, include the following steps：
S2.1, shake and part in respiratory air flow data on flows waveform are eliminated using limit filtration and moving average filter mode
Noise,
The minimum value calculating of S2.2, respiratory cycle respiratory air flow flow, include the following steps：
S2.2.1, the real-time respiratory air flow data on flows of comparison value whether be less than previous minimum value, if so, by real-time tidal air
Flow minimum value of the value of data on flows as the respiratory cycle, duration zero setting, if it is not, then jumping to step S2.2.2；
S2.2.2, the real-time respiratory air flow data on flows of comparison value whether be more than flow baseline value, if so, jumping to step
S2.2.3, if it is not, then whether the more previous minimum value duration less than 5 seconds, if being less than 5 seconds, terminates the respiratory cycle and exhale
The minimum value of inspiratory flow flow calculates, if more than or be equal to 5 seconds, then jump to step S2.2.3；
Whether S2.2.3, the previous minimum value of comparison are less than flow baseline value, if so, using previous minimum value as the respiratory cycle
Minimum value, if it is not, then terminate the respiratory cycle respiratory air flow flow minimum value calculate,
Wherein, previous minimum value is that the value of real-time respiratory air flow data on flows is all with some breathing of its time interval minimum before
The initial minimum of the minimum value of phase respiratory air flow flow, previous minimum value is flow baseline value, and flow baseline value is zero delivery
Or the corresponding AD values of zero delivery,
The maximum value calculation of S2.3, respiratory cycle respiratory air flow flow, include the following steps：
S2.3.1, the real-time respiratory air flow data on flows of comparison value whether be more than previous maximum value, if so, by real-time tidal air
Flow maximum value of the value of data on flows as the respiratory cycle respiratory air flow flow, duration zero setting, if it is not, then jumping to step
Rapid S2.3.2；
S2.3.2, the real-time respiratory air flow data on flows of comparison value whether be less than flow baseline value, if it is not, then jumping to step
S2.3.3 terminates respiratory cycle breathing if so, whether the more previous maximum value duration is less than 5 seconds if less than 5 seconds
The maximum value calculation of air flow rate, if more than or be equal to 5 seconds, then jump to step S2.3.3；
Whether S2.3.3, the previous maximum value of comparison are more than flow baseline value, if so, using previous maximum value as the respiratory cycle
Maximum value, if it is not, then terminate the maximum value calculation of the respiratory cycle respiratory air flow flow,
Wherein, previous maximum value is that the value of real-time respiratory air flow data on flows is all with some breathing of its time interval minimum before
The original maximum of the maximum value of phase respiratory air flow flow, previous maximum value is flow baseline value, and flow baseline value is zero delivery
Or the corresponding AD values of zero delivery,
S3, respiration case judgement, include the following steps：
S3.1, event judgement is subtracted according to the blood oxygen concentration data of acquisition progress oxygen；
S3.2, the amplitude for calculating each effectively respiratory cycle；
S3.3, judge that the amplitude baseline value of respiration case judgement whether there is, and if it exists, step S3.4 is then jumped to, if not depositing
In the amplitude after then calculating amplitude baseline value and handling；
S3.4, continuous improper amplitude is set as to respiration case judgement section, if respiration case judgement section continues
Between be less than 10 seconds, then skip the amplitude after respiration case judgement section processing；If respiration case judgement section is held
The continuous time is more than 2 minutes, then removes current amplitude baseline value, the amplitude after continuing with；Otherwise step S3.5 is jumped to；
S3.5, apnea and the judgement of low pass gas event are carried out；
Wherein, in step S3.2, the amplitude of each effectively respiratory cycle is calculated as each effective respiratory cycle respiratory air flow flow
Maximum value subtract the difference obtained by minimum value, in step S3.3, amplitude baseline value is calculated as：It is 2 points to establish a length
The time slip-window of clock, for preserving the amplitude data in this period, after obtaining an amplitude every time, if in time slip-window
First element time and the last one element time differ by more than 2 minutes, then delete first element, time slip-window is backward
Translation remains that the time difference of first element and the last one element is no more than 2 minutes in time slip-window, when to sliding
Between element in window average, as real-time amplitude baseline value, the last one described element time is each respiratory cycle
The time that middle maximum value occurs.
9. sleep-respiratory method according to claim 8, which is characterized in that in step S3.1, oxygen subtracts event judgement：Successively
Compare blood oxygen concentration, if blood oxygen concentration continuously declines at least 4%, and fall time is more than 10 seconds, then is determined as that oxygen subtracts event.
10. sleep-respiratory method according to claim 9, which is characterized in that in step S3.5, apnea is sentenced
It is fixed：Since the respiration case judges the starting point in section, first waveform for meeting the requirement of apnea amplitude is found out
It is denoted as starting point, the waveform that first does not meet the requirement of apnea amplitude is found out and is denoted as terminal, form apnea
Judge section, judge whether the apnea judgement section duration is greater than or equal to 10 seconds, if it is not, then described exhale
Suspending event judgement section is inhaled to be determined as normally；If so, judging the electric signal in apnea judgement section
The waveform segment of data whether there is the phenomenon that amplitude declines compared with front and back adjacent waveform segment, if being not present, the breathing is temporary
Stop event judgement section to be determined as normally, and if it exists, then further judge that apnea judgement section whether there is
The inductance variable quantity data judge center of origin type apnea if the inductance variable quantity data are not present, if in the presence of
The inductance variable quantity data are then determined as obstructive apnea, and apnea judgement section is apnea
Section；
Low pass gas event judges：Since the respiration case judges section starting point, finds out first and meet low pass gas event width
The waveform that value requires is denoted as starting point, then finds out the waveform that first does not meet the requirement of low pass gas event amplitude and be denoted as terminal, is formed
Low pass gas event judges section, and judges the time difference between waveform and thereafter adjacent waveform successively, if the time difference is less than or waits
In 10 seconds, then low pass gas event judgement section was determined as normal interval；If the time difference is more than 10 seconds, with the two amplitudes
It is two sections by low pass gas event judgement interval division, if the previous section duration in two sections is big for boundary
In 10 seconds, then blood oxygen correlated judgment is carried out to the preceding whole blood oxygen judgement section of previous section and extension section composition, if described
Blood oxygen concentration continuously declines at least 4% in preceding entirety blood oxygen judgement section, then is determined as low pass gas event section, otherwise, it is determined that
For normal interval；If the latter section duration in two sections is more than 10 seconds, to latter section and extend section composition
Rear whole blood oxygen judgement section carry out blood oxygen correlated judgment, if under blood oxygen concentration is continuous in whole blood oxygen judgement section after described
It is down to few 4%, then is determined as low pass gas event section, otherwise, it is determined that being normal interval.
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