Author:
Wu Han,Wang Tao,Dai Tuo,Wang Xiaoyu,Lin Yuanzhen,Wang Yizhou
Abstract
Purpose
This paper aims to design a vision-based non-contact real-time accurate heart rate (HR) measurement framework for home nursing assistant.
Design/methodology/approach
The study applied Second-Order Blind Signal Identification (SOBI) algorithm to extract remote HR signal and analyzed it with Fast Fourier Transform (FFT). Multiple regions of interest are chosen and analyzed to obtain a more accurate result.
Findings
An accurate non-contact hear rate (HR) measurement framework is proposed and proved to be efficient.
Originality/value
The contributions of this HR measurement framework are as follows: accurate measurement of HR, real-time performance, robust under various scenes such as conversation, lightweight computation which is suitable and necessary for home nursing assistance. This framework is designed to be flexibly used in various real-life scenes such as domestic health assistance and affectively intelligent agents and is proved to be robust under such scenes.
Reference17 articles.
1. An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram;Physiological Measurement,2016
2. Use of the kurtosis statistic in the frequency domain as an aid in detecting random signals,1984
3. On the analysis of fingertip photoplethysmogram signals;Current Cardiology Reviews,2012
4. Real-time quantifying heart beat rate from facial video recording on a smart phone using kalman filters,2014