CN104605829A - Heartbeat signal optimization algorithm of non-contact type vital sign monitoring system - Google Patents
Heartbeat signal optimization algorithm of non-contact type vital sign monitoring system Download PDFInfo
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- CN104605829A CN104605829A CN201510056802.9A CN201510056802A CN104605829A CN 104605829 A CN104605829 A CN 104605829A CN 201510056802 A CN201510056802 A CN 201510056802A CN 104605829 A CN104605829 A CN 104605829A
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- breath
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
Abstract
The invention provides a heartbeat signal optimization algorithm of a non-contact type vital sign monitoring system. The heartbeat signal optimization algorithm includes the following processing steps: the non-contact type vital sign monitoring system feeds two orthorhombic heartbeat and breath digital mixed signals which include the I signal and the Q signal, and arc tangent processing is carried out on the I signal and the Q signal to obtain orthorhombic demodulation signals; waveform reconstruction processing is carried out on the orthorhombic demodulation signals to obtain fit breath signals, and the breath signal frequency is obtained after Fourier transformation is carried out; the fit breath signals are removed from the orthorhombic demodulation signals to obtain the heartbeat signal waveform; MTI processing is carried out on the breath signal frequency and the heartbeat signal waveform at the same time to obtain the optimized heartbeat signal waveform, and the heartbeat signal frequency is obtained after the Fourier transformation is carried out again. According to the heartbeat signal optimization algorithm, after MTI processing is carried out, heartbeat signals covered with harmonic waves of the breath signals are separated from the breath signals, and the good heartbeat signals are obtained.
Description
Technical field
The present invention relates to field of radar, particularly a kind of heartbeat signal optimized algorithm based on non-contact vital sign monitor system.
Background technology
Heart beating and breathing are the physical trait condition informations that body weight for humans is wanted.Not thorough when the Waveform Reconstructing Processing Algorithm of vital signs system conventional is at present separated with heart beating breathing, there is the harmonic component of breath signal remnants in heartbeat signal, and harmonic component is all relevant to the breath signal cycle.Therefore, adopt MTI thinking to suppress breath signal harmonic components in heartbeat signal, thus reach the effect of optimization to heartbeat signal.
Summary of the invention
In order to solve prior art Problems existing, the invention provides a kind of signal processing algorithm of non-contact vital sign monitor system, after MTI process, the heartbeat signal covered by the harmonic wave of breath signal is separated with breath signal, obtains good heartbeat signal.
The present invention relies on non-contact vital sign monitor system to realize.
The mode that this system adopts modern radar technology to merge mutually with biomedical technology, based on Doppler's Cleaning Principle, uses the sign information of the mode Real-time Obtaining measured target of wireless measurement, comprises breathing, heart beating etc.; Mainly comprise radar signal part, general radar signal simulation receiving unit and signal process part, wherein, general radar signal simulation receiving unit is connected with signal process part with radar signal part respectively.
Radiating portion is used for sending continuous wave signal by transmitting antenna to measured target and being radiated at the thoracic cavity of target, and continuous wave signal obtains echo-signal after being modulated it by the chest cavity movement of breathing and the periodic signal such as heart beating causes; The demodulation of echo-signal process simulation receiving unit becomes the quadrature digital signal that two-way comprises breathing and heartbeat message, and a road is I road signal, and another road is Q road signal; I road and Q road signal carry out extraction and the frequency detecting of vital sign parameter signals through signal process part.
The technical solution realizing the object of the invention is:
Step 1, non-contact vital sign monitor system is sent orthogonal two-way heart beating here and is breathed digital mixing signal, and a road is I road signal, and another road is Q road signal, carries out arc tangent process obtain quadrature demodulated signal to I road and Q road;
Step 2, obtains matching breath signal by quadrature demodulated signal after Waveform Reconstructing process, then obtains breath signal frequency after Fourier transformation process;
Step 3, carries out rejecting by the matching breath signal obtained in step 2 and obtains heartbeat signal waveform in quadrature demodulated signal;
Step 4, carries out MTI process by the heartbeat signal waveform obtained in the breath signal frequency obtained in step 2 and step 3 simultaneously, and be optimized heartbeat signal waveform, then obtain heartbeat signal frequency after Fourier transformation process.
The present invention adopts following technological means to realize goal of the invention further:
(1) in step 1, echo-signal is done zero intermediate frequency process, obtain two paths of signals, a road is the I road signal of in-phase branch, and another road is the Q road signal of quadrature branch, carries out arc tangent process obtain quadrature demodulated signal to I road and Q road;
(2) in step 2, quadrature demodulated signal obtains matching breath signal through cubic spline interpolation reconfiguration waveform.
(3) in step 4, the optimization process of heartbeat signal comprises the steps:
Step 4.1: the breath signal frequency obtained in step 2 sampled to the heartbeat signal waveform obtained in step 3, be optimized heartbeat waveform;
Step 4.2: gained in step 4.1 is optimized heartbeat waveform and does Fourier transformation, the heartbeat signal frequency be optimized.
Compared with prior art, its remarkable advantage is in the present invention: MTI module effectively can eliminate the interference of breath signal harmonic wave to heartbeat signal, makes the precision of heartbeat signal higher, and practicality is very strong, and medical worker can understand the accurate heartbeat signal of patient constantly.
Below in conjunction with Figure of description, the present invention is described further.
Accompanying drawing explanation
Fig. 1 is the signal processing algorithm block diagram of non-contact vital sign monitor system of the present invention;
Fig. 2 is original I of the present invention, Q two paths of signals and its arc tangent waveform;
Fig. 3 is breath signal time domain of the present invention and frequency-domain waveform;
Fig. 4 is heartbeat signal time domain of the present invention and frequency-domain waveform;
Fig. 5 is heartbeat signal time domain and frequency-domain waveform after MTI resume module of the present invention.
Detailed description of the invention
Composition graphs 1, a kind of heartbeat signal optimized algorithm of non-contact vital sign monitor system, treatment step is as follows:
Step 1, non-contact vital sign monitor system is sent orthogonal two-way heart beating here and is breathed digital mixing signal, and a road is I road signal, and another road is Q road signal, carries out arc tangent process obtain quadrature demodulated signal to I road and Q road;
Step 2, obtains matching breath signal by quadrature demodulated signal after Waveform Reconstructing process, then obtains breath signal frequency after Fourier transformation process;
Step 3, carries out rejecting by the matching breath signal obtained in step 2 and obtains heartbeat signal waveform in quadrature demodulated signal;
Step 4, carries out MTI process by the heartbeat signal waveform obtained in the breath signal frequency obtained in step 2 and step 3 simultaneously, and be optimized heartbeat signal waveform, then obtain heartbeat signal frequency after Fourier transformation process.
In step 1, echo-signal is done zero intermediate frequency process, obtains two paths of signals, a road is I road signal (in-phase branch), and another road is Q road signal (quadrature branch), carries out arc tangent process obtain quadrature demodulated signal to I road and Q road.
In step 2, quadrature demodulated signal obtains matching breath signal through cubic spline interpolation reconfiguration waveform.
In step 4, the optimization process of heartbeat signal comprises the steps:
Step 4.1: the breath signal frequency obtained in step 2 sampled to the heartbeat signal waveform obtained in step 3, be optimized heartbeat waveform;
Step 4.2: gained in step 4.1 is optimized heartbeat waveform and does Fourier transformation, the heartbeat signal frequency be optimized.
Below in conjunction with embodiment, the present invention is described further.
Fig. 2 is obtained, I road signal, the primary signal of Q road signal and arc tangent synthesis through step 1.
Composition graphs 3 upper part, carries out through step 2 pair quadrature demodulated signal the time domain waveform that Waveform Reconstructing obtains matching breath signal.
The lower part of composition graphs 3, through step 2, does matching breath signal the spectrogram that Fourier transformation obtains breath signal, can find out that the respiratory frequency of measured target is 15.38 beats/min by it.
Composition graphs 4, through step 3, the heartbeat signal time domain beamformer containing breath signal harmonic wave obtained after the matching breath signal component in quadrature demodulated signal is rejected.Do Fourier transformation to it, obtain the heartbeat signal frequency containing breath signal harmonic wave, i.e. the lower part of Fig. 4, can find out palmic rate is 45.05 beats/min.Carefully analyze and be not difficult to find, record the triple-frequency harmonics that palmic rate is respiratory frequency actually, and real palmic rate should be the second spike in Fig. 4, namely 59.37 beats/min.
Composition graphs 5, through step 4.1, sends breath signal frequency and heartbeat signal waveform into MTI module simultaneously, obtains the heartbeat signal of rejecting breath signal harmonic wave.
The lower part of composition graphs 5 is through step 4.2, and the output waveform of MTI is done Fourier transformation, obtains required heartbeat signal spectrogram.We find originally the heartbeat signal covered by breath signal triple-frequency harmonics " show one's talent " in spectrogram waveform, and cause the triple-frequency harmonics aliquot of interference to be all largely suppressed.This proves, MTI module can eliminate the impact of harmonic wave on heartbeat signal of breath signal really.
Claims (4)
1. a heartbeat signal optimized algorithm for non-contact vital sign monitor system, it is characterized in that, treatment step is as follows:
Step 1, non-contact vital sign monitor system is sent orthogonal two-way heart beating here and is breathed digital mixing signal, and a road is I road signal, and another road is Q road signal, carries out arc tangent process obtain quadrature demodulated signal to I road and Q road;
Step 2, obtains matching breath signal by quadrature demodulated signal after Waveform Reconstructing process, then obtains breath signal frequency after Fourier transformation process;
Step 3, carries out rejecting by the matching breath signal obtained in step 2 and obtains heartbeat signal waveform in quadrature demodulated signal;
Step 4, inputted by the heartbeat signal waveform obtained in the breath signal frequency obtained in step 2 and step 3 simultaneously and do MTI process, be optimized heartbeat signal waveform, then obtain heartbeat signal frequency after Fourier transformation process.
2. the heartbeat signal optimized algorithm of non-contact vital sign monitor system according to claim 1, it is characterized in that, in step 1, echo-signal is done zero intermediate frequency process, obtain two paths of signals, one tunnel is the I road signal of in-phase branch, another road is the Q road signal of quadrature branch, carries out arc tangent process obtain quadrature demodulated signal to I road and Q road.
3. the heartbeat signal optimized algorithm of non-contact vital sign monitor system according to claim 1, is characterized in that, in step 2, quadrature demodulated signal obtains matching breath signal through cubic spline interpolation reconfiguration waveform.
4. the heartbeat signal optimized algorithm of non-contact vital sign monitor system according to claim 1, is characterized in that, in step 4, the optimization process of heartbeat signal comprises the steps:
Step 4.1: the breath signal frequency obtained in step 2 sampled to the heartbeat signal waveform obtained in step 3, be optimized heartbeat waveform;
Step 4.2: gained in step 4.1 is optimized heartbeat waveform and does Fourier transformation, the heartbeat signal frequency be optimized.
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| CN105662345A (en) * | 2016-01-05 | 2016-06-15 | 深圳和而泰智能控制股份有限公司 | Heartbeat signal processing method, device and system |
| CN113425270A (en) * | 2021-04-28 | 2021-09-24 | 郑州大学 | Non-contact vital sign detection method based on phase comparison |
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Application publication date: 20150513 |