Detection method for shockable rhythm based on a single feature

作者：Nam D H; Kang D W; Myoung H S; Lee K J^*

来源：Electronics Letters, 2016, 52(9): 686-687.

DOI：10.1049/el.2016.0344

• 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

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.

• 出版日期2016-4-28