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de Albuquerque et al., 2018 - Google Patents

Robust automated cardiac arrhythmia detection in ECG beat signals

de Albuquerque et al., 2018

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Document ID
4339022600723346198
Author
de Albuquerque V
Nunes T
Pereira D
Luz E
Menotti D
Papa J
Tavares J
Publication year
Publication venue
Neural Computing and Applications

External Links

Snippet

Nowadays, millions of people are affected by heart diseases worldwide, whereas a considerable amount of them could be aided through an electrocardiogram (ECG) trace analysis, which involves the study of arrhythmia impacts on electrocardiogram patterns. In …
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Classifications

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    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
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    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/04012—Analysis of electro-cardiograms, electro-encephalograms, electro-myograms

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