Pulse signal processing method based on lifting ripple
A processing method and pulse signal technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as high hardware requirements, unfavorable real-time processing, complex algorithms, etc., to achieve low hardware requirements and realize real-time Effects with small amount of processing and computation
Inactive Publication Date: 2009-02-04
BEIJING UNIV OF TECH
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[0004] The purpose of the present invention is to overcome the defects that the existing processing method is based on time domain or frequency domain analysis, and only processes a single quasi-periodic complete pulse wave, and the algorithm is complicated, the hardware requirements are high, and it is unfavorable for real-time processing. A pulse signal processing method based on lifting wavelet
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[0070] Combine below Figure 1 to Figure 6 This embodiment will be described.
[0071] This embodiment includes three main steps: signal preprocessing, optimization of multiple complete typical pulse waveforms and extraction of pulse waveform features.
[0072] The technical realization scheme of the present invention is as Figure 1 ~ Figure 2 shown. The waveform obtained by the pulse sensor passes through the conditioning circuit composed of primary amplification, filtering, secondary amplification and other circuits through the AD converter into a digital stream and enters the microprocessor system for a series of processing, and finally extracts the wavelet characteristic coefficient vector. These vector data are saved in the memory of the single-chip microcomputer or dsp and other instruments or in the external memory FLASH for subsequent use.
[0073] The implementation of the pulse signal feature extraction method based on lifting wavelet and cluster analysis propose...
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The present invention belongs to the field of information processing and medical information processing technology, in particular, it relates to a pulse information processing method based on rise wavelet. Said method includes the following steps: using pulse sensor to extract pulse waveform of human body, making said pulse waveform be passed through conditioning circuit and AD converter, and converted into digital signal, then inputted into a microprocessor; in the microprocessor making the above-mentioned digital signal undergo the process of waveform pretreatment, namely adopting adaptive coherent template method to make filtration; then utilizing filtered pulse signal and adopting threshold search method to obtain continuous stable waveform, then using time domain cluster analysis method to obtain optimal waveform containing more than five waveform samples; making the optimal waveform undergo the processes of multilayer wavelet decomposition treatment and threshold quantization treatment so as to finally obtain the characteristic vector W of pulse waveform.
Description
technical field [0001] The invention relates to information processing and medical signal processing, in particular to a pulse signal processing method based on lifting wavelet. Background technique [0002] The method of non-invasive pulse measurement is mainly to use the pressure sensor to capture the pulse of the significant arterial part of the human body, after signal preprocessing and analog-to-digital conversion, directly use the pulse wave data for analysis and processing, extract features, and calculate related parameters. [0003] At present, when analyzing and processing the pulse information, most of them only analyze the pulse wave of a single cycle, or use multiple pulse waves for simple average processing, and randomly select the waveform after simple preprocessing when selecting the waveform. There is a problem with this method: due to the hardware sampling frequency and various interference problems, the pulse waveform data collected by the sensor is unstabl...
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IPC IPC(8): A61B5/024G06F19/00G06Q50/00
Inventor 乔俊飞刘洪根
Owner BEIJING UNIV OF TECH