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Pulse Wave Information Detection and Analysis Method Research

Author: ZhouWeiBin
Tutor: ZhouQi
School: Chongqing University of Technology
Course: Biomedical Engineering
Keywords: Pulse wave Infrared Imaging Time-series signal The elasticity of blood vessels
CLC: R318.0
Type: Master's thesis
Year: 2011
Downloads: 150
Quote: 1
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Abstract


The pulse signal is a common biomedical signal pulse wave signal characteristics to a certain extent reflect the physiological state of the human cardiovascular. The detection and analysis of the pulse signal widespread concern and attention in the medical profession, accurate and effective pulse signal detection and analysis of the human cardiovascular system health monitoring and disease diagnosis has important clinical significance. Carried out both contact and non-contact pulse wave information detection and analysis methods. Contact detection analysis method, developed an embedded microprocessor-based contactless pulse signal detection system, the completion of the corresponding signal conditioning module, single-chip modules and PC data the receiving display module design. Pulse signal of the human body, the system can dynamically acquisition, real-time display and data storage, playback and analysis capabilities, and pulse wave time domain frequency domain feature detection and calculation analysis. In a non-contact detection analysis method, a non-contact detection analysis system based on pulse wave infrared image sequences proposed a new method based on the detection of blood vessel elasticity of infrared image sequences. The application of the testing and analysis system to obtain the radial artery at the infrared image sequences, a sequence of image processing algorithms, and applications of the image processing algorithm to extract time series signal sequence image reflected in the pulse wave characteristics. Definition of a blood vessel elasticity characteristic parameters. The numerical calculation based on the the vascular elastic characteristics of the time series signal parameters. The pulse wave detection system using non-contact detection analysis of pulse wave, pulse wave characteristics can obtain the natural physiological state, at the same time provide a new analysis of a blood vessel elasticity detection method, has better clinical value. In particular, to provide a more comprehensive diagnostic information for pulse diagnosis. Specific research work as follows: (1) By using an integrated pulse sensor, based on the PVDF piezoelectric film to achieve the extraction of the pulse signal. The design pulse signal conditioning circuit and enabling the design of contactless pulse signal detection system based on 51 single-chip analog-to-digital conversion and RS232 serial communication. To the PC as a host computer using LabVIEW pulse signal reception and display. (2) the use of multi-scale wavelet transform multi-resolution characteristics, the pulse signal, multi-scale decomposition makes the valid signal and noise of the pulse signal at different scales show different time-frequency characteristics, rules then constructed based on these differences, a signal containing noise to be processed. (3) conversion of the time domain into the frequency domain using FFT algorithm to achieve the pulse signal to obtain the amplitude spectrum of the pulse signal and frequency domain features. (4) of the pulse signal power spectrum estimate of the power spectrum of the pulse signal from the power spectrum and extract the pulse signal power spectrum characteristics. (5) to build a non-contact infrared image sequences of the radial artery at dynamic capture detection analysis system based on pulse wave infrared image sequences. (6) to establish a sequence of image processing algorithms to extract the reflected pulse wave characteristics in the sequence of image time series signal, based on the time course of the infrared image characteristics. (7) the time characteristics of the infrared image sequences reflect the characteristics of the radial artery at the vascular changes in blood volume. The blood volume variation reflects the variation of the elasticity of blood vessels. Definition of a blood vessel elasticity characteristic parameters. Numerical calculation of the of vascular elastic characteristic parameters based on the blood volume variation. In this paper, the pulse wave information detection and analysis methods, using both contact and non-contact means can effectively achieve the human pulse wave detection analysis and numerical calculation, and more comprehensive access to the natural physiological state of the pulse wave characteristics, while providing the The new method of analysis of a blood vessel elasticity detection. Studied the method provides a new detection, assessment and computational analysis of effective techniques for clinical diagnosis of the pulse wave.

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