Next Article in Journal
Multicarrier Spread Spectrum Modulation Schemes and Efficient FFT Algorithms for Cognitive Radio Systems
Next Article in Special Issue
Radiation Pattern Measurement of a Low-Profile Wearable Antenna Using an Optical Fibre and a Solid Anthropomorphic Phantom
Previous Article in Journal / Special Issue
A Compact Dual-Mode Wearable Antenna for Body-Centric Wireless Communications
Article Menu

Export Article

Open AccessArticle
Electronics 2014, 3(3), 409-418; doi:10.3390/electronics3030409

A Low Latency Electrocardiographic QRS Activity Recovery Technique for Use on the Upper Left Arm

1
School of Engineering, University of Ulster, Shore Road, Newtownabbey BT37 0QB, UK
2
Engineering Research Institute, University of Ulster, Shore Road, Newtownabbey BT37 0QB, UK
3
Cardiac Unit, SHSCT, Craigavon Area Hospital, Portadown BT63 5QQ, UK
*
Author to whom correspondence should be addressed.
Received: 20 February 2014 / Revised: 5 May 2014 / Accepted: 29 June 2014 / Published: 16 July 2014
(This article belongs to the Special Issue Wearable Electronics)
View Full-Text   |   Download PDF [362 KB, 21 July 2014; original version 16 July 2014]   |  

Abstract

Empirical mode decomposition is used as a low latency method of recovering the cardiac ventricular activity QRS biopotential signals recorded from the upper arm. The recovery technique is tested and compared with the industry accepted technique of signal averaging using a database of “normal” rhythm traces from bipolar ECG leads along the left arm, recorded from patient volunteers at a cardiology day procedure clinic. The same partial recomposition technique is applied to recordings taken using an innovative dry electrode technology supplied by Plessey Semiconductors. In each case, signal to noise ratio (SNR) is used as a metric for comparison. View Full-Text
Keywords: empirical mode decomposition; ECG; arrhythmia; filter; noise; SAECG empirical mode decomposition; ECG; arrhythmia; filter; noise; SAECG
Figures

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Lynn, W.D.; Escalona, O.J.; McEneaney, D.J. A Low Latency Electrocardiographic QRS Activity Recovery Technique for Use on the Upper Left Arm. Electronics 2014, 3, 409-418.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Electronics EISSN 2079-9292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top