NDLI: Automatic Parameter Extraction from Capacitive ECG Measurements

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Automatic Parameter Extraction from Capacitive ECG Measurements

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Cardiovascular Engineering and Technology : Volume 3, Issue 2, June 2012

Cardiovascular Engineering and Technology : Volume 3, Issue 1, March 2012

Cardiovascular Engineering and Technology : Volume 2

Cardiovascular Engineering and Technology : Volume 1

Automatic Parameter Extraction from Capacitive ECG Measurements

Content Provider	Springer Nature Link
Author	Eilebrecht, Benjamin Henriques, Jorge Rocha, Teresa Walter, Marian Paredes, Simão Carvalho, Paulo Czaplik, Michael Leonhardt, Steffen
Copyright Year	2012
Abstract	Capacitive ECG sensing allows acquiring an ECG, even through clothing. Due to its simple handling it is suitable for unsupervised monitoring. However, because capacitively coupled signals may differ from conventional ECGs, direct application of algorithms for parameter extraction to capacitive ECGs still needs to be analyzed. This paper analyzes the applicability of algorithms for ECG segmentation to capacitive ECG measurements. Data from a medical study with 107 subjects, where conventional and capacitive ECG were recorded simultaneously, was used for a two step parameter extraction by means of multi-scale morphological derivative transform and time-frequency analysis based algorithms. RR interval, QT interval, PQ interval and QRS duration resulting from the capacitive ECG were calculated by means of the algorithms and compared to the manually annotated data from the reference ECG. RR intervals were computed by the algorithms appropriately (mean deviation: 50 ms), calculation of QT interval, PQ interval and QRS duration yielded mean deviations of 60, 20, and 30 ms respectively. Differences of the mean value of QT duration for subjects with sinus rhythm and atrial fibrillation (p = 0.0414) and the QRS duration for patients with and without bundle branch block (p = 0.05) could be observed. An algorithmic detection of the RR intervals and the detection of heart rhythm disturbances in capacitive ECG signals are possible. Reasons for the deviation of QT interval, QT and QRS duration are deformations of the capacitive ECG signal. Their reasons should be reconsidered before unsupervised monitoring by means of capacitive ECG is possible.
Starting Page	319
Ending Page	332
Page Count	14
File Format	PDF
ISSN	1869408X
Journal	Cardiovascular Engineering and Technology
Volume Number	3
Issue Number	3
e-ISSN	18694098
Language	English
Publisher	Springer US
Publisher Date	2012-06-26
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Capacitive ECG Contactless ECG ECG segmentation Parameter extraction Cardiology Biomedical Engineering Biomedicine general
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering Cardiology and Cardiovascular Medicine

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