Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Wave filter merging method in self organization pulse sensor

A technology of pulse sensor and fusion method, which is applied in the field of signal processing, can solve problems such as different waveforms, ineffective pulse wave detection devices, and little medical reference value

Active Publication Date: 2010-08-18
ZHEJIANG UNIV
View PDF3 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the case of dynamic measurement of pulse waves, the existing pulse wave detection devices often cannot meet the requirements in accuracy and have little medical reference value
In the case of all-weather monitoring of the subject, the static pulse wave detection device cannot achieve good results
[0003] In the existing multi-channel pulse detection device, in the follow-up processing of the pulse wave, the appropriate fusion processing method is not considered according to the pulse cutting theory in traditional Chinese medicine. How to eliminate the interference caused by the pulse
Causes the lack of robustness of the measured pulse wave

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Wave filter merging method in self organization pulse sensor
  • Wave filter merging method in self organization pulse sensor
  • Wave filter merging method in self organization pulse sensor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The filter fusion method in the self-organizing pulse sensor of the present invention obtains multiple pulse wave curves by placing multiple piezoelectric sensor lattices at the inner radial artery of the wrist, wherein each single point sensor can independently measure the pulse wave at this point. Multi-channel pulse wave curves are subjected to digital filtering and factor analysis in the information fusion center. First of all, the wavelet processing method is used for digital filtering, which can effectively eliminate the noise signals such as baseline drift, myoelectric interference, and power frequency interference mixed in the pulse wave. Then, through factor analysis, the filtered multi-channel pulse signal is subjected to dimensionality reduction processing, and the severely distorted signal channel is removed. At the same time, two pulse wave signals are optimally selected, and then their connection weight coefficients are calculated to offset the weight loss ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a wave filter merging method applied to a self organization pulse sensor. The method obtains multi-path pulse wave curves through placing a plurality of piezoelectric sensor point lattices at radial artery parts on the inner side of the wrist, wherein each single-point sensor can separately measure the pulse wave. The curves carry out digital wave filtering and factor analysis in an information merging center according to the following steps that: firstly, the digital wave filtering adopts a small wave processing method, and noise signals such as base line drifting, electromyographical interference, power frequency interference and the like mixed in the pulse waves can be effectively eliminated; and then, the multi-path pulse signals after the wave filtering carry out dimensionality reduction processing through the factor analysis, signal channels with server distortion in the multi-path pulse signals are eliminated, at the same time, two paths of pulse signals are optimized and selected, and finally, the two paths of pulse signals are merged into one path of pulse signals to be output. When the method of the invention is adopted, the real-time output weighing regulation of the sensor point lattices can be realized, so a path of pulse signals nearest to the actual pulse signals can be obtained, and then, the monitoring and the analysis of the real-time pulse signals can be finally realized through the connection of a wireless communication module and a subsequent processing module.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a filter fusion method in a pulse wave intelligent detection device. Background technique [0002] The existing pulse wave detection device requires the subject to be in a calm state when measuring the patient's pulse, and obtains the pulse wave for medical auxiliary diagnosis. However, in the case of dynamic measurement of pulse waves, the existing pulse wave detection devices often cannot meet the requirements in accuracy and have little medical reference value. In the case that the subject needs to be monitored around the clock, the static pulse wave detection device cannot achieve good results. [0003] The existing multi-channel pulse detection device does not consider the appropriate fusion processing method according to the pulse cutting theory in traditional Chinese medicine in the follow-up processing of the pulse wave. How to eliminate the interference cause...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): A61B5/02
Inventor 孟濬王磊黄德样黄小静陈啸
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products