Method for recognizing pulse wave peaks
A pulse wave and wave crest technology, applied in the field of pulse wave waveform recognition, can solve problems such as poor robustness, noise interference, and deviation, and achieve the effects of strong anti-noise ability, good stability, and accurate recognition.
Inactive Publication Date: 2018-08-17
INST OF MICROELECTRONICS CHINESE ACAD OF SCI
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Problems solved by technology
At present, in the identification of pulse wave feature points, common methods include slope threshold method, wavelet transform, peak height ratio and Gaussian model fitting wrist pulse signal. Due to noise interference and the defects of the method itself, these methods generally have deviations. and less robust
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[0032] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.
[0033] Such as figure 2 Shown, the method for identifying pulse wave peak of the present invention comprises:
[0034] 1. Collect pulse waveform signal;
[0035] The pressure-adjustable sensor is placed at the radial artery of the patient's wrist to obtain the pulse voltage signal, pressurized in sections, converted into digital signals through the pulse acquisition circuit, and stored in the computer, such as image 3 shown.
[0036] 2. Check the main wave frequency distribution
[0037] Perform fast Fourier transform (FFT) on the original pulse wave signal to obtain the differentiated signal, check the frequency distribution of the main wave spectrogram, and design the following filter based on the frequency range o...
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Disclosed is a method for recognizing pulse wave peaks. The method comprises the steps of 1, collecting pulse wave waveform signals; 2, checking dominant wave frequency distribution; 3, preprocessingoriginal pulse wave signals and removing noise; 4, selecting a filter on the basis of the dominant wave frequency range, utilizing the selected filter for making dominant waves prominent, removing other peaks, extracting Shannon energy envelopes from the processed pulse wave signals, and then extracting the local maximum; 5, utilizing the local maximum for positioning a real pulse wave peak pointon the original pulse wave signals. When signals with high and narrow peaks are processed, recognition is precise, the better stability is achieved for period division in non-stable signals, and the noise immunity for pulse wave signals is high.
Description
technical field [0001] The present invention relates to a pulse wave waveform identification method, and more particularly, to a method for identifying pulse wave peaks. Background technique [0002] The human pulse wave generally has 6 characteristic points, such as figure 1 As shown, point a represents the opening point of the aortic valve, point c is the highest point of systolic pressure, point d is the point of aortic expansion and pressure reduction, point e is the starting point of diastolic left ventricle, point f is the trough of dicrotic wave, g Point is the crest of the pulse wave, and point b is the end point of the pulse wave. The characteristic points of the pulse diagram respectively reflect the different states of the cardiovascular system and are characteristic points with physiological significance. The pulse map feature points can be used to calculate cardiovascular function parameters, assist in the analysis and judgment of cardiovascular conditions, an...
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IPC IPC(8): A61B5/02A61B5/00
CPCA61B5/02A61B5/7203A61B5/725A61B5/7253A61B5/7257
Inventor 魏永琴耿兴光张以涛张海英黄成军
Owner INST OF MICROELECTRONICS CHINESE ACAD OF SCI