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Movement noise elimination method suitable for wearable heart rate measurement device

A measurement device and noise elimination technology, applied in the field of information processing, to improve the accuracy of heart rate measurement values, eliminate motion noise, and achieve the effects of measurement and calculation

Inactive Publication Date: 2016-02-03
ZHEJIANG NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is how to provide an effective method for removing motion noise when the motion noise is very strong, so as to obtain an accurate real-time heart rate value

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  • Movement noise elimination method suitable for wearable heart rate measurement device
  • Movement noise elimination method suitable for wearable heart rate measurement device
  • Movement noise elimination method suitable for wearable heart rate measurement device

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Embodiment 1

[0020] Embodiment 1. Motion noise elimination method of wearable heart rate measuring device

[0021] figure 1 It is a schematic flow chart of the motion noise elimination method of this embodiment, figure 2 It is a schematic flow chart of the spectral subtraction method in this embodiment.

[0022] figure 1 The present embodiment shown is the overall process of the motion noise elimination method of the wearable heart rate measuring device, which mainly includes the following steps:

[0023] In step S210, the wearable heart rate measurement device uses two photoplethysmography sensors distributed in different positions to collect two channels of photoplethysmography signals (hereinafter referred to as PPG 1 and PPG 2 ), using a three-axis accelerometer to collect motion acceleration signals of three channels within the same time period.

[0024] In step S220, the initial sampling frequency of the original signal is 125 Hz, and in order to reduce the amount of calculatio...

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Abstract

The invention discloses a movement noise elimination method suitable for a wearable heart rate measurement device. The method aims at improving the heart rate measurement accuracy of the wearable heart rate measurement device. In the method, the wearable heart rate measurement device collects multiple pulse oximeter signals and movement acceleration signals, during the same time period, of a user; the spectrum peak positions of movement noise in multiple pulse oximeter signal frequency spectrums are flush with the spectrum peak positions of movement acceleration signal frequency spectrums, and the pulse oximeter signal frequency spectrums can be removed through the spectral subtraction method; finally, the heart rate frequency point positions are accurately positioned according to the spectrum peak tracking mechanism. By means of the method, movement noise in heart rates is effectively eliminated, the non-peak situation, the multi-peak situation and the target spectrum peak tracking loss situation which happen to the pulse oximeter signal frequency spectrums after the spectral subtraction method is conducted are eliminated, and accurate measurement, based on the wearable device, of real-time heart rates is achieved.

Description

technical field [0001] The invention relates to the field of information processing, in particular to a motion noise elimination method suitable for wearable heart rate measurement equipment. Background technique [0002] Heart rate refers to the number of times the human heart beats per minute, subject to the first sound. In the detection of human body parameters, heart rate is an important physiological indicator, which provides a reference for medical diagnosis. At the same time, the heart rate can also be used as an objective evaluation index of the physiological load of human exercise. With the rise of wearable smart devices such as smart watches, smart wristbands, and smart bracelets, and people's emphasis on health, the method of monitoring heart rate based on photoplethysmography signals has been widely accepted by industry and academia. focus on. [0003] Because the photoplethysmography signal often contains motion noise, it is difficult to accurately measure th...

Claims

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Application Information

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IPC IPC(8): A61B5/0245A61B5/00G06F19/00
Inventor 熊继平蔡丽桑汤清华王妃
Owner ZHEJIANG NORMAL UNIVERSITY
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