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Journal of Medical Systems
Erschienen in: Journal of Medical Systems 7/2016

01.07.2016 | Patient Facing Systems

Efficient Fine Arrhythmia Detection Based on DCG P-T Features

verfasst von: Rongfang Bie, Shuaijing Xu, Guangzhi Zhang, Meng Zhang, Xianlin Ma, Xialin Zhang

Erschienen in: Journal of Medical Systems | Ausgabe 7/2016

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Abstract

Due to the high mortality associated with heart disease, there is an urgent demand for advanced detection of abnormal heart beats. The use of dynamic electrocardiogram (DCG) provides a useful indicator of heart condition from long-term monitoring techniques commonly used in the clinic. However, accurately distinguishing sparse abnormal heart beats from large DCG data sets remains difficult. Herein, we propose an efficient fine solution based on 11 geometrical features of the DCG PQRST(P-T) waves and an improved hierarchical clustering method for arrhythmia detection. Data sets selected from MIT-BIH are used to validate the effectiveness of this approach. Experimental results show that the detection procedure of arrhythmia is fast and with accurate clustering.
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Metadaten
Titel
Efficient Fine Arrhythmia Detection Based on DCG P-T Features
verfasst von
Rongfang Bie
Shuaijing Xu
Guangzhi Zhang
Meng Zhang
Xianlin Ma
Xialin Zhang
Publikationsdatum
01.07.2016
Verlag
Springer US
Erschienen in
Journal of Medical Systems / Ausgabe 7/2016
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-016-0519-0

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