Detection method for shockable rhythm based on a single feature. Issue 9 (1st April 2016)

• Record Type: Journal Article
• Authors: Nam, D.H.; Kang, D.W.; Myoung, H.S.; Lee, K.J.
• Is Part Of: Electronics letters. Volume 52:Issue 9(2016)
• Page Start: 686
• Page End: 688
• Publication Date: 2016-04-01
• Subjects: electrocardiography -- medical signal detection -- feature extraction -- discrete wavelet transforms -- support vector machines; shockable rhythm -- single feature extraction -- discrete wavelet transform -- single‐channel electrocardiogram -- support vector machine -- five‐fold cross validation; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2016.0344
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : A method for detecting shockable rhythm was proposed. A single feature was extracted using the discrete wavelet transform from a single‐channel electrocardiogram. The extracted feature was applied to the support vector machine to determine whether the signal was a shockable or non‐shockable rhythm. To evaluate the performance, five‐fold cross validation was performed with different window lengths (WLs). As a result, a sensitivity of 97.8% and a specificity of 98.0% with 3 s WL were obtained. The results represent the proposed method shows high detection performance even with short analysis window and only a single feature.