CN106725486B - Breathing pattern decision method based on breathing pattern monitoring radar - Google Patents
Breathing pattern decision method based on breathing pattern monitoring radar Download PDFInfo
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Abstract
The invention discloses a kind of breathing pattern decision method based on breathing pattern monitoring radar, comprise the following steps：Step 1, radar collection signal is monitored with breathing pattern, the mixed signal of the heartbeat measured, breathing is demodulated, obtain breath signal, and LPF is carried out to breath signal, obtain removing the breath signal after noise jamming；30 seconds step 2, interception breath signals removed after noise jamming, and feature extraction is carried out, draw the characteristic parameter that can distinguish different breathing pattern breath signals；Step 3, determine mapping relations between different breathing patterns and characteristic parameter；Which kind of breathing pattern step 4, the mapping relations according to step 3, the breath signal that judgement breathing pattern monitoring radar obtains belong to.The inventive method is effective and feasible, dependable performance, can adjudicate the pattern of breathing exactly.
Description
Technical field
The invention belongs to field of radar, particularly a kind of breathing pattern decision method based on breathing pattern monitoring radar.
Background technology
Breathing is one of signal of interest for reflecting human body situation.
Traditional monitoring of respiration method is contact monitoring.Electrode used in contact monitoring can feel monitored person
Constraint and discomfort, this will influence the physiological characteristic of monitored person, can produce interference to monitoring result.And monitoring formula monitoring can not
Some patients are directly contacted, application can be restricted, such as：Contact monitoring of respiration can not be to large-area burns disease
People, sensing patient, dermatosis patient, the baby that is just born are monitored.In addition, monitoring formula is monitored before each monitoring,
The medical personnel of specialty are needed to do the preparation of nearly one hour, cumbersome, this will expend certain manpower and financial resources, and not
The long-time monitoring of breathing can be realized.
Therefore, it is badly in need of a kind of contactless breathing pattern monitoring method at present, but there is no correlation to retouch in the prior art
State.
The content of the invention
It is an object of the invention to for insufficient existing for contact monitoring of respiration, there is provided one kind is monitored based on breathing pattern
The breathing pattern decision method of radar.
The technical solution for realizing the object of the invention is：A kind of breathing pattern judgement based on breathing pattern monitoring radar
Method, comprise the following steps：
Step 1, radar collection signal is monitored with breathing pattern, the mixed signal of the heartbeat measured, breathing is demodulated,
Breath signal is obtained, and LPF is carried out to breath signal, obtains removing the breath signal after noise jamming；
30 seconds step 2, interception breath signals removed after noise jamming, and feature extraction is carried out, drawing can distinguish not
The characteristic parameter of pattern of sharing a common fate breath signal；Specially：
Step 2-1, breath signal coenvelope variance max_var is extracted, is specially：Gating limit value 0.049, it will be greater than the door
The rising edge peak extraction of the breath signal of limit comes out, and the rising edge peak value vector of the breath signal to obtaining seeks variance, obtains
Breath signal coenvelope variance max_var；
Step 2-2, breath signal instantaneous frequency variance ins_f_var is extracted, is specially：Martin Hilb is carried out to breath signal
Spy converts and smoothly, obtain the instantaneous frequency vector of breath signal, then seeks variance to the vector, and it is instantaneous to obtain breath signal
Frequency variance ins_f_var；
Step 2-3, breath signal instantaneous frequency average value ins_f_av is extracted, is specially：The breathing obtained to step 2-2
The instantaneous frequency vector of signal is averaged, and obtains breath signal instantaneous frequency average value ins_f_av；
Step 2-4, breath signal short-time zero-crossing rate minimum value cross_ze_min is extracted, is specially：By equation below：
Obtain breath signal short-time zero-crossing rate minimum value cross_ze_min, in formula, x (n) is pretreated breathing letter
Number, N is the sampling number in window.If setting window a length of 4 seconds, sample frequency 100, then the sampling number in window is 400.
Step 3, determine mapping relations between different breathing patterns and characteristic parameter；Specially：
A, eupnea：Breath signal coenvelope variance Max_var is less than or equal to 10-4Magnitude, breath signal instantaneous frequency
Variance ins_f_var is less than or equal to 10-4Magnitude, breath signal instantaneous frequency average value ins_f_av are short between 0.2 to 0.33
When zero-crossing rate minimum value cross_ze_min values be non-zero value；
B, cheyne-stokes respiration：Breath signal coenvelope variance Max_var is more than 10-4Magnitude, breath signal instantaneous frequency variance
Ins_f_var is more than 10-4Magnitude, short-time zero-crossing rate minimum value cross_ze_min values are 0；
C, tidal variant breathes：Breath signal coenvelope variance Max_var is more than 10-4Magnitude, breath signal instantaneous frequency
Variance ins_f_var is less than or equal to 10-4Magnitude, short-time zero-crossing rate minimum value cross_ze_min values are non-zero value；
D, dysrhythmia type breathes：Breath signal coenvelope variance Max_var is more than 10-4Magnitude, the instantaneous frequency of breath signal
Rate variance ins_f_var is big, and short-time zero-crossing rate minimum value cross_ze_min values are non-zero value；
E, Ku Mashi is breathed：Breath signal coenvelope variance Max_var is less than or equal to 10-4Magnitude, the instantaneous frequency of breath signal
Rate variance ins_f_var is less than or equal to 10-4Magnitude, breath signal instantaneous frequency average value ins_f_av are more than 0.33, in short-term mistake
Zero rate minimum value cross_ze_min values are non-zero value.
Which kind of step 4, the mapping relations according to step 3, the breath signal that judgement breathing pattern monitoring radar obtains belong to
Breathing pattern.
Compared with prior art, its remarkable advantage is the present invention：1) present invention can be with using breathing pattern monitoring radar
The contactless monitoring of breathing is realized, it can penetrate the barrier such as clothing and bed clothes, compared with traditional contact monitoring, behaviour
Make more convenient, the sense of discomfort of human body can be reduced, and many limitations can be overcome.2) a variety of common breathing moulds have been monitored
Formula, and suitable characteristic parameter is have selected, analysis obtains the mapping relations between breathing pattern and these characteristic parameters.Then,
According to the characteristic parameter of unknown breath signal, just it can adjudicate which kind of breathing pattern it belongs to.3) method is easy and effective, and performance can
Lean on, it is convenient to carry out.
The present invention is described further with reference to Figure of description.
Brief description of the drawings
Fig. 1 is the step block diagram that the present invention realizes breathing pattern judgement.
Fig. 2 is the time domain beamformer of eupnea.
Fig. 3 is the time domain beamformer of cheyne-stokes respiration.
Fig. 4 is the time domain beamformer of tidal variant breathing.
Fig. 5 is the time domain beamformer of dysrhythmia type breathing.
Fig. 6 is the time domain beamformer of Ku Mashi breathings.
Embodiment
A kind of breathing pattern decision method based on breathing pattern monitoring radar, comprises the following steps：
Step 1, radar collection signal is monitored with breathing pattern, the mixed signal of the heartbeat measured, breathing is demodulated,
Breath signal is obtained, and LPF is carried out to breath signal, obtains removing the breath signal after noise jamming；
30 seconds step 2, interception breath signals removed after noise jamming, and feature extraction is carried out, drawing can distinguish not
The characteristic parameter of pattern of sharing a common fate breath signal；Specially：
Step 2-1, breath signal coenvelope variance max_var is extracted, is specially：Gating limit value 0.049, it will be greater than the door
The rising edge peak extraction of the breath signal of limit comes out, and the rising edge peak value vector of the breath signal to obtaining seeks variance, obtains
Breath signal coenvelope variance max_var；
Step 2-2, breath signal instantaneous frequency variance ins_f_var is extracted, is specially：Martin Hilb is carried out to breath signal
Spy converts and smoothly, obtain the instantaneous frequency vector of breath signal, then seeks variance to the vector, and it is instantaneous to obtain breath signal
Frequency variance ins_f_var；
Step 2-3, breath signal instantaneous frequency average value ins_f_av is extracted, is specially：The breathing obtained to step 2-2
The instantaneous frequency vector of signal is averaged, and obtains breath signal instantaneous frequency average value ins_f_av；
Step 2-4, breath signal short-time zero-crossing rate minimum value cross_ze_min is extracted, is specially：By equation below：
Obtain breath signal short-time zero-crossing rate minimum value cross_ze_min, in formula, x (n) is pretreated breathing letter
Number, N is the sampling number in window.
Step 3, determine mapping relations between different breathing patterns and characteristic parameter；Specially：
A, eupnea：Breath signal coenvelope variance Max_var is less than or equal to 10-4Magnitude, breath signal instantaneous frequency
Variance ins_f_var is less than or equal to 10-4Magnitude, breath signal instantaneous frequency average value ins_f_av are short between 0.2 to 0.33
When zero-crossing rate minimum value cross_ze_min values be non-zero value；
B, cheyne-stokes respiration：Breath signal coenvelope variance Max_var is more than 10-4Magnitude, breath signal instantaneous frequency variance
Ins_f_var is more than 10-4Magnitude, short-time zero-crossing rate minimum value cross_ze_min values are 0；
C, tidal variant breathes：Breath signal coenvelope variance Max_var is more than 10-4Magnitude, breath signal instantaneous frequency
Variance ins_f_var is less than or equal to 10-4Magnitude, short-time zero-crossing rate minimum value cross_ze_min values are non-zero value；
D, dysrhythmia type breathes：Breath signal coenvelope variance Max_var is more than 10-4Magnitude, the instantaneous frequency of breath signal
Rate variance ins_f_var is big, and short-time zero-crossing rate minimum value cross_ze_min values are non-zero value；
E, Ku Mashi is breathed：Breath signal coenvelope variance Max_var is less than or equal to 10-4Magnitude, the instantaneous frequency of breath signal
Rate variance ins_f_var is less than or equal to 10-4Magnitude, breath signal instantaneous frequency average value ins_f_av are more than 0.33, in short-term mistake
Zero rate minimum value cross_ze_min values are non-zero value.
Which kind of step 4, the mapping relations according to step 3, the breath signal that judgement breathing pattern monitoring radar obtains belong to
Breathing pattern.
The present invention can realize the contactless monitoring of breathing using breathing pattern monitoring radar, it can penetrate clothing with
The barriers such as bed clothes, compared with traditional contact monitoring, operation is more convenient, can reduce the sense of discomfort of human body, and can with gram
Take many limitations.
It is described in more detail below.
With reference to Fig. 1, it is of the invention based on breathing pattern monitoring radar breathing pattern judgement the step of it is as follows：
Step 1：With breathing pattern monitoring radar collection signal, the mixed signal of the heartbeat measured, breathing is demodulated,
The breath signal of common breathing pattern is obtained, and carries out LPF, obtains removing the breath signal after noise jamming；
Step 2：Interception removes wherein 30 seconds of the breath signal after noise jamming, and carries out feature extraction, obtains a system
Row can distinguish the characteristic parameter of different breathing pattern breath signals；
Step 3：Analyze and obtain the mapping relations between different breathing patterns and characteristic parameter；
Step 4：According to mapping relations, adjudicate which kind of breathing the breath signal that unknown breathing pattern monitoring radar obtains belongs to
Pattern.
With reference to Fig. 2, eupnea of the adult in calmness is 12-20 beats/min.
It is breathing gradually enhancing with reference to Fig. 3, the characteristics of cheyne-stokes respiration, gradually weakens, then one section of apnea, form one
The individual cycle.
With reference to Fig. 4, the breathing of tidal variant, similar cheyne-stokes respiration, difference is not to be then apnea, but slightly becomes
Change (anti-suffocation pattern).
With reference to Fig. 5, dysrhythmia type breathe the characteristics of be that the rhythm and pace of moving things, speed, amplitude are all arrhythmically to change.
With reference to Fig. 6, Ku Mashi breathe the characteristics of be that respiratory rate is fast.
Further detailed description is done to the present invention with reference to embodiment.
Embodiment
With reference to table 1,5 breath signals are gathered with breathing pattern monitoring radar, list the characteristic parameter of this 5 signals, ginseng
The mapping relations of the breathing pattern and characteristic parameter in right 3 are examined, can adjudicate which kind of breathing pattern this 5 signals belong to.
Table 1
| Breath signal | Max_var | ins_f_var | ins_f_av | cross_ze_min |
| Signal 1 | 0.000722 | 0.000122 | 0.617 | 4 |
| Signal 2 | 0.00634 | 0.00941 | 0.402 | 2 |
| Signal 3 | 0.0158 | 0.000112 | 0.585 | 4 |
| Signal 4 | 0.000287 | 0.000234 | 0.246 | 2 |
| Signal 5 | 0.0489 | 0.00984 | 0.330 | 0 |
The breath signal coenvelope variance Max_var of signal 1 is 10-4Magnitude, breath signal instantaneous frequency variance ins_f_
Var is 10-4Magnitude, breath signal instantaneous frequency average value ins_f_av are more than 0.33, short-time zero-crossing rate minimum value cross_ze_
Min values are non-zero value.It follows that：Signal 1 is Ku Mashi breathings.
The breath signal coenvelope variance Max_var of signal 2 is more than 10-4Magnitude, breath signal instantaneous frequency variance ins_
F_var is more than 10-4Magnitude, short-time zero-crossing rate minimum value cross_ze_min values are non-zero value.It follows that：Signal 2 is section
Restrain obstruction type breathing.
The breath signal coenvelope variance Max_var of signal 3 is more than 10-4Magnitude, breath signal instantaneous frequency variance ins_
F_var is 10-4Magnitude, short-time zero-crossing rate minimum value cross_ze_min values are non-zero value.It follows that：Signal 3 is tidal
Variant breathes.
The breath signal coenvelope variance Max_var of signal 4 is 10-4Magnitude, breath signal instantaneous frequency variance ins_f_
Var is 10-4Magnitude, breath signal instantaneous frequency average value ins_f_av is between 0.2 to 0.33, short-time zero-crossing rate minimum value
Cross_ze_min values are non-zero value.It follows that：Signal 4 is eupnea.
The breath signal coenvelope variance Max_var of signal 5 is more than 10-4Magnitude, breath signal instantaneous frequency variance ins_
F_var is more than 10-4Magnitude, short-time zero-crossing rate minimum value cross_ze_min values are 0.It follows that：Signal 5 is that tidal is exhaled
Inhale.
From the foregoing, it will be observed that the method for the present invention is easy and effective, dependable performance is convenient to carry out.
Claims (2)
1. a kind of breathing pattern decision method based on breathing pattern monitoring radar, it is characterised in that comprise the following steps：
Step 1, radar collection signal is monitored with breathing pattern, the mixed signal of the heartbeat measured, breathing is demodulated, obtained
Breath signal, and LPF is carried out to breath signal, obtain removing the breath signal after noise jamming；
30 seconds step 2, interception breath signals removed after noise jamming, and feature extraction is carried out, difference can be distinguished by, which drawing, exhales
The characteristic parameter of suction mode breath signal, it is specially：
Step 2-1, breath signal coenvelope variance max_var is extracted, is specially：Gating limit value 0.049, will be greater than the thresholding
The rising edge peak extraction of breath signal comes out, and the rising edge peak value vector of the breath signal to obtaining seeks variance, is breathed
Signal coenvelope variance max_var；
Step 2-2, breath signal instantaneous frequency variance ins_f_var is extracted, is specially：Hilbert change is carried out to breath signal
Change and smoothly, obtain the instantaneous frequency vector of breath signal, then variance is asked to the vector, obtain breath signal instantaneous frequency
Variance ins_f_var；
Step 2-3, breath signal instantaneous frequency average value ins_f_av is extracted, is specially：The breath signal obtained to step 2-2
Instantaneous frequency vector be averaged, obtain breath signal instantaneous frequency average value ins_f_av；
Step 2-4, breath signal short-time zero-crossing rate minimum value cross_ze_min is extracted, is specially：By equation below：
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Obtain breath signal short-time zero-crossing rate minimum value cross_ze_min, in formula, x (n) is pretreated breath signal, N
It is the sampling number in window；
Step 3, determine mapping relations between different breathing patterns and characteristic parameter；
Which kind of breathing step 4, the mapping relations according to step 3, the breath signal that judgement breathing pattern monitoring radar obtains belong to
Pattern.
2. the breathing pattern decision method according to claim 1 based on breathing pattern monitoring radar, it is characterised in that step
Rapid 3 determine that the mapping relations between different breathing patterns and characteristic parameter are：
A, eupnea：Breath signal coenvelope variance Max_var is less than or equal to 10-4Magnitude, breath signal instantaneous frequency variance
Ins_f_var is less than or equal to 10-4Magnitude, breath signal instantaneous frequency average value ins_f_av is between 0.2 to 0.33, mistake in short-term
Zero rate minimum value cross_ze_min values are non-zero value；
B, cheyne-stokes respiration：Breath signal coenvelope variance Max_var is more than 10-4Magnitude, breath signal instantaneous frequency variance ins_
F_var is more than 10-4Magnitude, short-time zero-crossing rate minimum value cross_ze_min values are 0；
C, tidal variant breathes：Breath signal coenvelope variance Max_var is more than 10-4Magnitude, breath signal instantaneous frequency variance
Ins_f_var is less than or equal to 10-4Magnitude, short-time zero-crossing rate minimum value cross_ze_min values are non-zero value；
D, dysrhythmia type breathes：Breath signal coenvelope variance Max_var is more than 10-4Magnitude, breath signal instantaneous frequency side
Poor ins_f_var is big, and short-time zero-crossing rate minimum value cross_ze_min values are non-zero value；
E, Ku Mashi is breathed：Breath signal coenvelope variance Max_var is less than or equal to 10-4Magnitude, breath signal instantaneous frequency side
Poor ins_f_var is less than or equal to 10-4Magnitude, breath signal instantaneous frequency average value ins_f_av are more than 0.33, short-time zero-crossing rate
Minimum value cross_ze_min values are non-zero value.
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