DocumentCode :
68384
Title :
Estimating the Universal Positions of Wireless Body Electrodes for Measuring Cardiac Electrical Activity
Author :
Tomasic, Ivan ; Frljak, Sabina ; Trobec, R.
Author_Institution :
Jozef Stefan Inst., Ljubljana, Slovenia
Volume :
60
Issue :
12
fYear :
2013
fDate :
Dec. 2013
Firstpage :
3368
Lastpage :
3374
Abstract :
A methodology is presented for estimating the wireless body electrode (WE) positions and for calculating the linear transformations that enable the synthesis of a 12-lead ECG or a multichannel ECG from three WEs, which in turn simplifies and improves the acquisition of ECGs. We present, compare, and evaluate three approaches to the synthesis: fully personalized, fully universal, and combined with universal leads and personalized transformations. The evaluation results show that WEs are an acceptable alternative to the standard 12-lead ECG device for patients with chronic myocardial ischemia, if either the fully personalized or combined approach is used. The median correlation coefficients are all higher than 0.94 and 0.92 for the fully personalized and combined approaches, respectively. The corresponding kappa and percentual diagnostic agreements between the synthesized and target 12-lead ECGs are 0.88 (95%) and 0.83 (92%), respectively. The evaluation additionally shows that the personalization of the transformations has more impact on the quality of the synthesized ECGs than the personalization of the WEs´ positions.
Keywords :
biomedical electrodes; body sensor networks; electrocardiography; cardiac electrical activity; linear transformation; multichannel ECG; personalized transformation; universal position; wireless body electrodes; Electrocardiography; Electrodes; Position measurement; Standards; Surgery; Visualization; Wireless communication; Derived electrocardiograms; ECG synthesis; differential leads; electrocardiography; wireless electrodes;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2013.2276291
Filename :
6574211
Link To Document :
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