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- W2334102007 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." @default.
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- W2334102007 date "2016-04-01" @default.
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- W2334102007 title "Detection method for shockable rhythm based on a single feature" @default.
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- W2334102007 doi "https://doi.org/10.1049/el.2016.0344" @default.
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