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Sugimoto et al., 2019 - Google Patents

Detection and localization of myocardial infarction based on a convolutional autoencoder

Sugimoto et al., 2019

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Document ID
3676434120599738918
Author
Sugimoto K
Kon Y
Lee S
Okada Y
Publication year
Publication venue
Knowledge-Based Systems

External Links

Snippet

Twelve-lead electrocardiograms (ECG) are widely used for the diagnosis of myocardial infarction (MI). For MI detection and localization, 12 ECG signals should be comprehensively checked through visual observation. This process is time-consuming, requires significant …
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Classifications

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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402—Electrocardiography, i.e. ECG
    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
    • A61B5/04525—Detecting specific parameters of the electrocardiograph cycle by template matching
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    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
    • A61B5/046—Detecting fibrillation
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