The Research On The Technology Of Signal Processing Based On The System Of Non-contact Life-parameter Detection

Biological radar is generated based on the integration of theory of radar and bio-medical engineering, which can detect the life-parameters (respiration, heart-beating, blood-flowing, enterocinesia, etc.) in farther distance. Biological radar conquers such difficulties as laser and infrared rays are influenced by temperature and can not penetrate obstacles to detect life-parameters. And the problem is that supersonic sounding declines greatly when it spreads in the air and will be dsabled if it is baffled by water, ice and moist soil. Detecting the life-parameters by biological radar not only makes up for the limitations (electrode-needing, body-contacting by transducer), but also solves the problems followed by non-contact detection by other ways. Thus much attention has been paid to this theory by both internal researchers and the ones abroad.This theory can be widely used in clinical monitoring, especial for fatal patient, infection diseases and fire-burned patient.The detection of non-contact life-parameter detection system established by our lab can be interfered because of the environmental factors such as wind, vibration, breath motion and so on. Especially the influences of breath motion can not be solved by average method. Aim to solve this problem, we study the technique of digital signal processing, and the techniques of homomorphicfilter, wavelet and narrow-band filter are used to extract the signal of breath and heart-beating. So the non-contact detection rate of life-parameters is promoted.The main results are as follows:1. Established the system of non-contact life-parameter detection based on millimeter wave radar and programmed the data-acquisition software. The system can fulfill the function of real time data-acquisition and data-display. And the data can be saved to be processed later.2. Designed the scheme of standard exercise experiment, and obtained a lot of standard exercise experiment data of non-contact life-parameter detection. Carried out lots of experiments to preprocess the data and analyzed the character of data.3. Combined the homomorphic filter in convolution domain and wavelet respectively with FIR filter. Adopted the algorithm to analyze the data and extracted the signal of respiration and heart-beating, the characteristics of which are significant.4. Established the system of synchronous signal detsignificantn. The system can obtain the electrocardiosignal and the heart-beating signals synchronously. Evaluated the extracting algorithm of heart-beating signal by contrasting the analysis of the electrocardiosignal and the heart-beating signal both in time domain and in frequency domain.The thesis obtained some results as follows:1. Established the system of non-contact life-parameter detection based on millimeter wave radar. Brought the homomorphic filter in convolution domain and wavelet to the algorithm of non-contact life-parameters detection. And obtained the regular signals of respiration and heart-beating when human breathe freely.2. Established the system which can obtain the electrocardiosignals and the heart-beating signals synchronously with electrophysiolograph and the...