DocumentCode
651518
Title
Design and evaluation of a novel wireless reconstructed 3-lead ECG monitoring system
Author
Yishan Wang ; Wunderlich, Ralf ; Heinen, Stefan
Author_Institution
Integrated Analog Circuits & RF Syst., RWTH Aachen Univ., Aachen, Germany
fYear
2013
fDate
Oct. 31 2013-Nov. 2 2013
Firstpage
362
Lastpage
365
Abstract
This paper presents a novel lead system based on a wearable wireless ECG sensor for long term homecare. The ECG monitoring system amplifies, filters, samples and transmits 3-lead signals to the Coordinator. The signals are displayed and analyzed on PC. In order to make the sensor more wearable and comfortable for patients, a new lead system is studied and discussed to find the new convenience placements for electrodes. Mason-Likar limb electrode placement is considered as standard lead system. A lot of experiments are implemented to explore the relationship between standard and new lead system. The best placements of new lead system are proposed by comparing the correlation coefficients between standard and new lead system. Multielement non-linear regression method is employed to reconstruct 3-lead signals from the new lead system. This paper provides a powerful evidence that the traditional electrode placements can be replaced by new placements which make the ECG system more convenience and compact.
Keywords
biomedical electrodes; biomedical equipment; electrocardiography; medical signal processing; patient monitoring; regression analysis; signal reconstruction; 3-lead signal reconstruction; ECG system; Mason-Likar limb electrode placement; correlation coefficients; filters; homecare; multielement nonlinear regression method; standard lead system; traditional electrode placements; wearable wireless ECG sensor; wireless reconstructed 3-lead ECG monitoring system; Correlation; Electrocardiography; Electrodes; Heart; Standards; Wireless communication; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE
Conference_Location
Rotterdam
Type
conf
DOI
10.1109/BioCAS.2013.6679714
Filename
6679714
Link To Document