CN108283490A - Sleep-respiratory system and method - Google Patents
Sleep-respiratory system and method Download PDFInfo
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Abstract
The present invention provides a kind of sleep-respiratory systems 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, sleep-respiratory system of the invention 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 sleep-respiratory methods comprising data collection steps, data prediction step and respiration case determination step.Compared with the relevant technologies, the accuracy higher of sleep-respiratory 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, and storage successively forms amplitude number
Group forms event judgement array, in conjunction with the respiratory air flow data on flows, inductance variable quantity data and electricity after comparing and screening
Signal data carries out apnea judgement, and low pass is carried out in conjunction with the respiratory air flow data on flows and blood oxygen concentration data
Gas event judges.
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, storage successively forms amplitude array, by the first of amplitude array
Amplitude of a amplitude as initial judgement；
S3.3, judge that amplitude baseline value whether there is, and if it exists, then continue next step, if being not present, jump to step
Rapid S3.8；
S3.4, judgement amplitude whether be less than amplitude baseline value 60%, if more than or be equal to, then go to step
The amplitude and its previous amplitude are included in event and judge array, then judge whether subsequent amplitude is small successively by S3.8 if being less than
In the 60% of amplitude baseline value, if being less than, be included in event judgement array, if more than or be equal to, which is sentenced
Fixed number group, and as the amplitude of new judgement, continue next step；
S3.5, event judgement array duration whether be greater than or equal to 10s, if more than or be equal to, then continue next
Step, otherwise, go to step S3.8；
S3.6, apnea and the judgement of low pass gas event are carried out；
S3.7, processing overlength event, flush events judge array；
S3.8, update amplitude baseline value；
S3.9, calculate judgement amplitude with thereafter adjacent to the time interval of amplitude, if less than 10s and latter amplitude it is big
In or equal to amplitude baseline value 60%, then the section is denoted as apnea section, otherwise, using latter amplitude as new
Judgement amplitude, repeat step S3.3-S3.9.
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；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；In step S3.5, event judges the duration index group least significant end amplitude of array
The difference of maximum value time and the minimum value time of head end amplitude；In step S3.7, processing overlength event refers to when judgement has overlength thing
In the presence of part, if overlength event is low pass gas overlength event, when deleting the low pass gas section and the low pass gas section starting point
Between after apnea section, by the amplitude of the low pass gas section starting point be established as judgement amplitude；If overlength event is to exhale
Pause overlength event is inhaled, then deletes the apnea section, the amplitude of the apnea section starting point is established as to the width of judgement
Value.
Preferably, in step S3.1, oxygen subtracts event judgement：Each blood oxygen concentration is judged successively, if less than 60 or being more than
99, then judge that the value for error value, filters out, new oximetry data is formed, then compare blood oxygen concentration successively, if blood oxygen concentration is continuous
Decline at least 4%, and fall time is more than 10 seconds, then is determined as that oxygen subtracts event.
Preferably, in step S3.6, the judgement of apnea includes the following steps：
S3.6.1, since the starting point of the breathing section representated by event resulting number group, find out first and meet apnea
The waveform that event amplitude requires is denoted as starting point, finds out the waveform that first does not meet the requirement of apnea amplitude and is denoted as end
Point forms apnea and judges section；
S3.6.2, judge whether the apnea judgement section duration is greater than or equal to 10 seconds, if it is not, then
Go to step S3.6.5, if so, continuing next step；
S3.6.3, judge the electrical signal data in apnea judgement section waveform segment whether with it is front and back
Adjacent waveform segment is compared to the phenomenon that there are amplitude declines, or judges that apnea judgement section whether there is the electricity
Sense variable quantity data judge center of origin type apnea if being not present, otherwise, it is determined that being obstructive apnea, institute
It is apnea section to state apnea judgement section；
S3.6.4, judge whether the apnea section duration is more than 2 minutes, if more than, then judge to terminate, otherwise,
Continue in next step；
Whether the terminal described in S3.6.5, judgment step S3.6.1 is less than judgement section terminal, if being less than, with the terminal
For starting point, step S3.6.1-S3.6.5 is repeated,
The judgement of low pass gas event includes the following steps：
A, the apnea in detecting event judgement array will delete first if apnea is not present
Event after element judges array as low pass gas event section, and go to step D, if there are apnea, under continuing
One step；
B, it judges whether that the duration is more than 2 minutes overlength apneas, if being not present, continues in next step
Suddenly, and if it exists, event is then judged that time of origin is located at the amplitude after this overlength apnea starting time in array
After deletion, continue next step；
C, event is judged that first element of array is deleted, and removes the apnea in the event resulting number class interval
Event section judges the duration in remaining section, if more than 10 seconds, then using the residue section as low pass gas event successively
Next step is continued in section, is further continued for judging next remaining section, until detecting overlength low pass gas event section or detection
To event resulting number group end；
D, judge blood oxygen dependent low pass gas：
D1, judge whether it is related to blood oxygen, if related, continue next step, if uncorrelated, go to step D3；
D2, search generation time and be less than and closest to the oximetry data of low pass gas section starting time, by the data and its
Oximetry data later subtracts event judgement as oxygen, if within the low pass gas section that the section for subtracting event there are oxygen is located at after extension,
The section then inputted is low pass gas event section, continues next step, if being not present, go to step D4；
D3, record low pass gas event beginning and ending time；
D4, judge whether the duration in the low pass gas section of input is more than 2 minutes, if more than being then overlength low pass gas
The section of event.
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；Into one
Step improves apnea determination method and low pass gas event determination method, while subtracting in event determination method in oxygen and adding
Oximetry data filters out step, 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：
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, storage successively forms amplitude array, by the first of amplitude array
Amplitude of a amplitude as initial judgement；
S3.3, judge that amplitude baseline value whether there is, and if it exists, then continue next step, if being not present, jump to step
Rapid S3.8；
S3.4, judgement amplitude whether be less than amplitude baseline value 60%, if more than or be equal to, then go to step
The amplitude and its previous amplitude are included in event and judge array, then judge whether subsequent amplitude is small successively by S3.8 if being less than
In the 60% of amplitude baseline value, if being less than, be included in event judgement array, if more than or be equal to, which is sentenced
Fixed number group, and as the amplitude of new judgement, continue next step；
S3.5, event judgement array duration whether be greater than or equal to 10s, if more than or be equal to, then continue next
Step, otherwise, go to step S3.8；
S3.6, apnea and the judgement of low pass gas event are carried out；
S3.7, processing overlength event, flush events judge array；
S3.8, update amplitude baseline value；
S3.9, calculate judgement amplitude with thereafter adjacent to the time interval of amplitude, if less than 10s and latter amplitude it is big
In or equal to amplitude baseline value 60%, then the section is denoted as apnea section, otherwise, using latter amplitude as new
Judgement amplitude, repeat step S3.3-S3.9.
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；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；In step S3.5, event judges the duration index group least significant end amplitude of array
The difference of maximum value time and the minimum value time of head end amplitude；In step S3.7, processing overlength event refers to when judgement has overlength thing
In the presence of part, if overlength event is low pass gas overlength event, when deleting the low pass gas section and the low pass gas section starting point
Between after apnea section, by the amplitude of the low pass gas section starting point be established as judgement amplitude；If overlength event is to exhale
Pause overlength event is inhaled, then deletes the apnea section, the amplitude of the apnea section starting point is established as to the width of judgement
Value.
More specifically, in step S3.1, oxygen subtracts event judgement：Judge each blood oxygen concentration successively, if less than 60 or
More than 99, then judges that the value for error value, filters out, new oximetry data is formed, then compare blood oxygen concentration successively, if blood oxygen concentration
Continuously decline at least 4%, and fall time is more than 10 seconds, then is determined as that oxygen subtracts event.
More specifically, in step S3.6, the judgement of apnea includes the following steps：
S3.6.1, since the starting point of the breathing section representated by event resulting number group, find out first and meet apnea
The waveform that event amplitude requires is denoted as starting point, finds out the waveform that first does not meet the requirement of apnea amplitude and is denoted as end
Point forms apnea and judges section；
S3.6.2, judge whether the apnea judgement section duration is greater than or equal to 10 seconds, if it is not, then
Go to step S3.6.5, if so, continuing next step；
S3.6.3, judge the electrical signal data in apnea judgement section waveform segment whether with it is front and back
Adjacent waveform segment is compared to the phenomenon that there are amplitude declines, or judges that apnea judgement section whether there is the electricity
Sense variable quantity data judge center of origin type apnea if being not present, otherwise, it is determined that being obstructive apnea, institute
It is apnea section to state apnea judgement section；
S3.6.4, judge whether the apnea section duration is more than 2 minutes, if more than, then judge to terminate, otherwise,
Continue in next step；
Whether the terminal described in S3.6.5, judgment step S3.6.1 is less than judgement section terminal, if being less than, with the terminal
For starting point, step S3.6.1-S3.6.5 is repeated,
The judgement of low pass gas event includes the following steps：
A, the apnea in detecting event judgement array will delete first if apnea is not present
Event after element judges array as low pass gas event section, and go to step D, if there are apnea, under continuing
One step；
B, it judges whether that the duration is more than 2 minutes overlength apneas, if being not present, continues in next step
Suddenly, and if it exists, event is then judged that time of origin is located at the amplitude after this overlength apnea starting time in array
After deletion, continue next step；
C, event is judged that first element of array is deleted, and removes the apnea in the event resulting number class interval
Event section judges the duration in remaining section, if more than 10 seconds, then using the residue section as low pass gas event successively
Next step is continued in section, is further continued for judging next remaining section, until detecting overlength low pass gas event section or detection
To event resulting number group end；
D, judge blood oxygen dependent low pass gas, include the following steps：
D1, judge whether it is related to blood oxygen, if related, continue next step, if uncorrelated, go to step D3；
D2, search generation time and be less than and closest to the oximetry data of low pass gas section starting time, by the data and its
Oximetry data later subtracts event judgement as oxygen, if within the low pass gas section that the section for subtracting event there are oxygen is located at after extension,
The section then inputted is low pass gas event section, continues next step, if being not present, go to step D4；
D3, record low pass gas event beginning and ending time；
D4, judge whether the duration in the low pass gas section of input is more than 2 minutes, if more than being then overlength low pass gas
The section of event.
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；Further improve breathing
Suspending event determination method and low pass gas event determination method, while subtracting in oxygen and being added to oximetry data filter in event determination method
Except step, the accuracy of respiration case judgement is further improved.
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, and storage successively forms amplitude array,
Event is formed after comparing and screening and judges array, in conjunction with the respiratory air flow data on flows, inductance variable quantity data and telecommunications
Number carries out apnea judgement, and low pass gas is carried out in conjunction with the respiratory air flow data on flows and blood oxygen concentration data
Event judges.
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, storage successively forms amplitude array, by first width of amplitude array
It is worth the amplitude as initial judgement；
S3.3, judge that amplitude baseline value whether there is, and if it exists, then continue next step, if being not present, go to step
S3.8；
S3.4, judgement amplitude whether be less than amplitude baseline value 60%, if more than or be equal to, then go to step S3.8, if
It is less than, then the amplitude and its previous amplitude are included in event judges array, then judges whether subsequent amplitude is less than amplitude successively
The 60% of baseline value, if being less than, be included in event judgement array, if more than or be equal to, by the amplitude writing events judge array,
And as the amplitude of new judgement, continue next step；
S3.5, event judgement array duration whether be greater than or equal to 10s, if more than or be equal to, then continue next step,
Otherwise, go to step S3.8；
S3.6, apnea and the judgement of low pass gas event are carried out；
S3.7, processing overlength event, flush events judge array；
S3.8, update amplitude baseline value；
S3.9, the amplitude for calculating judgement with thereafter adjacent to the time interval of amplitude, if being more than or waiting less than 10s and latter amplitude
In the 60% of amplitude baseline value, then the section is denoted as apnea section, otherwise, using latter amplitude as new judgement
Amplitude, repeat step S3.3-S3.9.
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；In step S3.5, event judges the maximum value of the duration index group least significant end amplitude of array
The difference of time and the minimum value time of head end amplitude；In step S3.7, processing overlength event refers to when judgement is with the presence of overlength event
When, if overlength event is low pass gas overlength event, after deleting the low pass gas section and the low pass gas section starting time
Apnea section, by the amplitude of the low pass gas section starting point be established as judgement amplitude；If overlength event is apnea
Overlength event then deletes the apnea section, and the amplitude of the apnea section starting point is established as to the amplitude of judgement.
9. sleep-respiratory method according to claim 8, which is characterized in that in step S3.1, oxygen subtracts event judgement：Successively
Judge each blood oxygen concentration, if less than 60 or more than 99, judge that the value for error value, filters out, form new oximetry data,
Compare blood oxygen concentration successively again, 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 S3.6, apnea is sentenced
Surely include the following steps：
S3.6.1, since the starting point of the breathing section representated by event resulting number group, find out first and meet apnea
The waveform that amplitude requires is denoted as starting point, finds out the waveform that first does not meet the requirement of apnea amplitude and is denoted as terminal, shape
Judge section at apnea；
S3.6.2, judge whether the apnea judgement section duration is greater than or equal to 10 seconds, if it is not, then redirecting
To step S3.6.5, if so, continuing next step；
S3.6.3, judge the electrical signal data in apnea judgement section waveform segment whether with it is front and back adjacent
Waveform segment is compared to the phenomenon that there are amplitude declines, or judges that the apnea judgement section becomes with the presence or absence of the inductance
Change amount data judge center of origin type apnea if being not present, otherwise, it is determined that be obstructive apnea, it is described to exhale
It is apnea section to inhale suspending event judgement section；
S3.6.4, judge whether the apnea section duration is more than 2 minutes, if more than then judging to terminate, otherwise, continue
In next step；
Whether the terminal described in S3.6.5, judgment step S3.6.1 is less than judgement section terminal
Point repeats step S3.6.1-S3.6.5,
The judgement of low pass gas event includes the following steps：
A, the apnea in detecting event judgement array will delete first element if apnea is not present
Event afterwards judges array as low pass gas event section, and go to step D, if there are apnea, continues in next step
Suddenly；
B, it judges whether that the duration is more than 2 minutes overlength apneas, if being not present, continues next step,
If in the presence of event is judged that time of origin is located at the amplitude deletion after this overlength apnea starting time in array
Afterwards, continue next step；
C, event is judged that first element of array is deleted, and removes the apnea in the event resulting number class interval
Section judges the duration in remaining section successively, if more than 10 seconds, then using the residue section as low pass gas event section,
Continue next step, is further continued for judging next remaining section, until detecting overlength low pass gas event section or detecting thing
Part resulting number group end；
D, judge blood oxygen dependent low pass gas：
D1, judge whether it is related to blood oxygen, if related, continue next step, if uncorrelated, go to step D3；
D2, lookup generation time are less than and closest to the oximetry datas of low pass gas section starting time, by the data and its later
Oximetry data as oxygen subtract event judgement, if there are oxygen subtract event section be located at extension after low pass gas section within, it is defeated
The section entered is low pass gas event section, continues next step, if being not present, go to step D4；
D3, record low pass gas event beginning and ending time；
D4, judge whether the duration in the low pass gas section of input is more than 2 minutes, if more than being then overlength low pass gas event
Section.
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