Kruger et al., 2019 - Google Patents

Bimodal classification algorithm for atrial fibrillation detection from m-health ECG recordings

Kruger et al., 2019

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Document ID
6213683161805060315
Author
Kruger G
Latchamsetty R
Langhals N
Yokokawa M
Chugh A
Morady F
Oral H
Berenfeld O
Publication year
Publication venue
Computers in biology and medicine

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Abstract Introduction Atrial Fibrillation (AF) is the most common cardiac arrhythmia, presenting a significant independent risk factor for stroke and thromboembolism. With the emergence of m-Health devices, the importance of automatic detection of AF in an off-clinic …
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Classifications

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    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402Electrocardiography, i.e. ECG
    • A61B5/0452Detecting specific parameters of the electrocardiograph cycle
    • A61B5/046Detecting fibrillation
    • AHUMAN NECESSITIES
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    • A61B5/0468Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
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    • A61B5/7253Details of waveform analysis characterised by using transforms
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