CN106725486A - The breathing pattern decision method of radar is monitored based on breathing pattern - Google Patents
The breathing pattern decision method of radar is monitored based on breathing pattern Download PDFInfo
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Abstract
The invention discloses a kind of breathing pattern decision method that radar is monitored based on breathing pattern, comprise the following steps：Step 1, radar is monitored with breathing pattern gather signal, the heartbeat that will be measured, the mixed signal of breathing are demodulated, and obtain breath signal, and carry out LPF to breath signal, obtain removing the breath signal after noise jamming；Breath signal after step 2, interception removal noise jamming in 30 seconds, and feature extraction is carried out, draw the characteristic parameter that can distinguish different breathing pattern breath signals；Step 3, the mapping relations for determining 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 is obtained belong to.The inventive method is effective and feasible, dependable performance, can exactly adjudicate the pattern of breathing.
Description
Technical field
The invention belongs to field of radar, particularly a kind of breathing pattern decision method that radar is monitored based on breathing pattern.
Background technology
Breathing is one of signal of interest of reflection person situation.
Traditional monitoring of respiration method is contact monitoring.Contact monitors used electrode 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 cannot
Directly contact some patients, can be restricted range of application, for example：Contact monitoring of respiration cannot be to large-area burns disease
People, sensing patient, dermatosis patient, the baby of just birth are monitored.Additionally, monitoring formula monitoring is before monitoring every time,
The medical personnel of specialty are needed to do nearly one preparation of hour, cumbersome, this will expend certain manpower and financial resources, and not
The long-time monitoring of breathing can be realized.
Therefore, a kind of contactless breathing pattern monitoring method is badly in need of at present, but there is no correlation to retouch in the prior art
State.
The content of the invention
Deficiency it is an object of the invention to be directed to the presence of contact monitoring of respiration, there is provided a kind of based on breathing pattern monitoring
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, comprises the following steps：
Step 1, with breathing pattern monitor radar gather signal, the heartbeat that will be measured, breathing mixed signal be demodulated,
Breath signal is obtained, and LPF is carried out to breath signal, obtain removing the breath signal after noise jamming；
Breath signal after step 2, interception removal noise jamming in 30 seconds, 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, extraction breath signal coenvelope variance max_var, specially：Gating limit value 0.049, will be greater than the door
Out, the rising edge peak value vector of the breath signal to obtaining seeks variance to the rising edge peak extraction of the breath signal of limit, obtains
Breath signal coenvelope variance max_var；
Step 2-2, extraction breath signal instantaneous frequency variance ins_f_var, specially：Martin Hilb is carried out to breath signal
Spy's conversion is simultaneously smoothed, and obtains the instantaneous frequency vector of breath signal, then seeks variance to the vector, obtains breath signal instantaneous
Frequency variance ins_f_var；
Step 2-3, extraction breath signal instantaneous frequency average value ins_f_av, 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, extraction breath signal short-time zero-crossing rate minimum value cross_ze_min, specially：By equation below：
Breath signal short-time zero-crossing rate minimum value cross_ze_min is obtained, 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 is 100, then the sampling number in window is 400.
Step 3, the mapping relations for determining 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 is 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, the breathing of tidal variant：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, the breathing of dysrhythmia type：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 are 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 is 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 is obtained belongs 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 barriers such as clothing and bed clothes, compared with traditional contact is monitored, behaviour
Make more convenient, the sense of discomfort of human body can be reduced, and many limitation can be overcome.2) various 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 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 realizes the step of breathing pattern is adjudicated block diagram for the present invention.
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.
Specific embodiment
A kind of breathing pattern decision method that radar is monitored based on breathing pattern, is comprised the following steps：
Step 1, with breathing pattern monitor radar gather signal, the heartbeat that will be measured, breathing mixed signal be demodulated,
Breath signal is obtained, and LPF is carried out to breath signal, obtain removing the breath signal after noise jamming；
Breath signal after step 2, interception removal noise jamming in 30 seconds, 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, extraction breath signal coenvelope variance max_var, specially：Gating limit value 0.049, will be greater than the door
Out, the rising edge peak value vector of the breath signal to obtaining seeks variance to the rising edge peak extraction of the breath signal of limit, obtains
Breath signal coenvelope variance max_var；
Step 2-2, extraction breath signal instantaneous frequency variance ins_f_var, specially：Martin Hilb is carried out to breath signal
Spy's conversion is simultaneously smoothed, and obtains the instantaneous frequency vector of breath signal, then seeks variance to the vector, obtains breath signal instantaneous
Frequency variance ins_f_var；
Step 2-3, extraction breath signal instantaneous frequency average value ins_f_av, 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, extraction breath signal short-time zero-crossing rate minimum value cross_ze_min, specially：By equation below：
Breath signal short-time zero-crossing rate minimum value cross_ze_min is obtained, in formula, x (n) is pretreated breathing letter
Number, N is the sampling number in window.
Step 3, the mapping relations for determining 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 is 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, the breathing of tidal variant：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, the breathing of dysrhythmia type：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 are 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 is 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 is obtained belongs to
Breathing pattern.
The present invention using breathing pattern monitoring radar can realize breathing contactless monitoring, it can penetrate clothing with
The barriers such as bed clothes, compared with traditional contact is monitored, operate more convenient, can reduce the sense of discomfort of human body, and can with gram
Take many limitation.
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 adjudicate the step of it is as follows：
Step 1：Radar being monitored with breathing pattern and gathering signal, the heartbeat that will be measured, the mixed signal of breathing are demodulated,
The breath signal of common breathing pattern is obtained, and carries out LPF, obtain 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, and obtaining one is
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, which kind of breathing the breath signal for adjudicating unknown breathing pattern monitoring radar acquisition belongs to
Pattern.
With reference to Fig. 2, eupnea of the adult in calmness is 12-20 beats/min.
It is to breathe gradually to strengthen the characteristics of cheyne-stokes respiration with reference to Fig. 3, gradually weakens, then one section of apnea, constitutes one
The individual cycle.
With reference to Fig. 4, the breathing of tidal variant is similar to cheyne-stokes respiration, and it is not then apnea that difference is, but is slightly become
Change (anti-suffocation pattern).
It is that the rhythm and pace of moving things, speed, amplitude are all arrhythmically to change the characteristics of dysrhythmia type is breathed with reference to Fig. 5.
It is fast respiratory rate the characteristics of Ku Mashi is breathed with reference to Fig. 6.
Further detailed description is done to the present invention with reference to embodiment.
Embodiment
With reference to table 1, monitor radar with breathing pattern and gather 5 breath signals, list this 5 characteristic parameters of signal, join
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 is 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
Rule 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 is breathed.
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 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 (3)
1. it is a kind of based on breathing pattern monitor radar breathing pattern decision method, it is characterised in that comprise the following steps：
Step 1, with breathing pattern monitor radar gather signal, the heartbeat that will be measured, breathing mixed signal be demodulated, obtain
Breath signal, and LPF is carried out to breath signal, obtain removing the breath signal after noise jamming；
Breath signal after step 2, interception removal noise jamming in 30 seconds, and feature extraction is carried out, show that can distinguish difference exhales
The characteristic parameter of suction mode breath signal；
Step 3, the mapping relations for determining 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 is obtained belong to
Pattern.
2. it is according to claim 1 based on breathing pattern monitor radar breathing pattern decision method, it is characterised in that step
Rapid 2 carry out feature extraction, draw the characteristic parameter that can distinguish different breathing pattern breath signals, specially：
Step 2-1, extraction breath signal coenvelope variance max_var, specially：Gating limit value 0.049, will be greater than the thresholding
Out, the rising edge peak value vector of the breath signal to obtaining seeks variance to the rising edge peak extraction of breath signal, is breathed
Signal coenvelope variance max_var；
Step 2-2, extraction breath signal instantaneous frequency variance ins_f_var, specially：Hilbert change is carried out to breath signal
Change and smoothed, 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, extraction breath signal instantaneous frequency average value ins_f_av, 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, extraction breath signal short-time zero-crossing rate minimum value cross_ze_min, specially：By equation below：
Breath signal short-time zero-crossing rate minimum value cross_ze_min is obtained, in formula, x (n) is pretreated breath signal, N
It is the sampling number in window.
3. it is according to claim 1 based on breathing pattern monitor radar breathing pattern decision method, 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 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, the breathing of tidal variant：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, the breathing of dysrhythmia type：Breath signal coenvelope variance Max_var is more than 10-4Magnitude, breath signal instantaneous frequency side
Difference ins_f_var is big, and short-time zero-crossing rate minimum value cross_ze_min values are non-zero value；
E, Ku Mashi are breathed：Breath signal coenvelope variance Max_var is less than or equal to 10-4Magnitude, breath signal instantaneous frequency side
Difference ins_f_var is less than or equal to 10-4Magnitude, breath signal instantaneous frequency average value ins_f_av is more than 0.33, short-time zero-crossing rate
Minimum value cross_ze_min values are non-zero value.
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