Paper Info
Title
Scale selection technique for heartbeat detection algorithm
Abstract
This paper presents an empirical study that aims to determine the frequency band best suited for ECG heartbeat detection operation for portable monitoring electronic device. This study was accomplished using the Continuous Wavelet Transform technique and in particular the Mexican-hat wavelet. This study was performed to minimize the effect of motion artifacts type of noise as it is prevalent and difficult to remove. It consists of gradually tuning the scale of the wavelet and observing its effect on the output signal and more precisely its effect on both real beats and peaks that correspond to motion artifacts noise. The result concluded was that the best wavelet to be used for such a task was this having a frequency response centered in the value 32 Hz.
Year
DOI
Venue
2017
10.1109/SSD.2017.8166996
2017 14th International Multi-Conference on Systems, Signals & Devices (SSD)
Keywords
DocType
ISSN
ECG,Heartbeat detection,motion artifacts,Continuous Wavelet Transform,scale selection
Conference
2474-0438
ISBN
Citations 
PageRank 
978-1-5386-3176-8
0
0.34
References 
Authors
4
2
Name
Order
Citations
PageRank
Ghassen Smaoui100.34
Abid Mohamed23919.08