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Conference Paper Sequential Algorithm for the Detection of the Shockable Rhythms in Electrocardiogram
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Authors
Ji-Wook Jeong, I.B. Lee, Yoonseon Song, Yongwon Jang, Hyung Wook Noh, Sooyeul Lee
Issue Date
2012-08
Citation
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2012, pp.5082-5085
Publisher
IEEE
Language
English
Type
Conference Paper
Abstract
We suggest a sequential algorithm for the detection of the ventricular fibrillation (VF) and ventricular tachycardia (VT) of a rate above 180 bpm, so called shockable rhythms. The built-in algorithm for ECG analysis embedded in the portable bio-signal sensing module is aimed to discriminate between shockable and non-shockable rhythms and its accuracy is analyzed. An algorithm for VF/VT detection is proposed to analyze every 1 s ECG episode using the past 8 s episodes. The method is tested with 844,587 ECG episodes from the widely accepted databases. A sensitivity of 86.8 % and a specificity of 99.4 % were obtained and compared with the previous results.
KSP Keywords
Built-in, ECG Analysis, Sequential algorithm, Ventricular fibrillation(VF), bio-signal, ventricular tachycardia