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Zhang et al., 2018 - Google Patents

ECG signal classification with deep learning for heart disease identification

Zhang et al., 2018

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Document ID
5497240453981441454
Author
Zhang W
Yu L
Ye L
Zhuang W
Ma F
Publication year
Publication venue
2018 international conference on big data and artificial intelligence (BDAI)

External Links

Snippet

Electrocardiogram (ECG) signal is widely used in medical diagnosis of heart diseases. Automatic extraction of relevant and reliable information from ECG signals has not been an easy task for computerized system. This study proposes to use 12-layer 1-d CNN to classify …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
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    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
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