Heart Rate Estimation Using Wrist-acquired erent Types of Daily Life Motion Artifact

MPhil Thesis Defence


Title: "Heart Rate Estimation Using Wrist-acquired erent Types of Daily Life 
Motion Artifact"

By

Mr. Zhe LIN


Abstract

Wearable devices are becoming more and more popular in recent year. Many of 
them are embedded with powerful processor and sensors which could enable a vast 
of new applications. One issue that researchers and engineers are concerned 
about is how to leverage the power of wearable devices to monitor our physical 
conditions so that we could use it to provide guidance to maintain a healthy 
life. Heart rate is one of the most significant vital sign of human which is 
tightly related to both of our physical and mental condition. Reflective wrist 
photoplethysmograph (PPG), obtained by a watch or wristband, can provide a 
natural and unconstrained way for daily life heart rate monitoring. However, 
reflective wrist PPG often suffers from poor signal quality and various 
distortions due to daily life motion artifact. In this paper, we analyze the 
influence of motion artifact on reflective wrist PPG signals, and propose a 
method to extract reliable heart rate from such distorted PPG signals. The 
proposed method consists of adaptive filtering, heart rate selection, and 
motion identification. Experimental results show that our proposed method can 
generate reliable heart rate values from wrist PPG signals with different types 
of motion artifact.


Date:			Wednesday, 15 July 2015

Time:			1:00pm - 3:00pm

Venue:			Room 2132B
 			Lift 19

Committee Members:	Prof. Qian Zhang (Supervisor)
 			Dr. Lei Chen (Chairperson)
 			Prof. Gary Chan


**** ALL are Welcome ****