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Dinakarrao et al., 2019 - Google Patents

Computer-aided arrhythmia diagnosis with bio-signal processing: A survey of trends and techniques

Dinakarrao et al., 2019

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Document ID
927677174092042694
Author
Dinakarrao S
Jantsch A
Shafique M
Publication year
Publication venue
ACM Computing Surveys (CSUR)

External Links

Snippet

Signals obtained from a patient, ie, bio-signals, are utilized to analyze the health of patient. One such bio-signal of paramount importance is the electrocardiogram (ECG), which represents the functioning of the heart. Any abnormal behavior in the ECG signal is an …
Continue reading at mason.gmu.edu (PDF) (other versions)

Classifications

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    • A61B5/7235—Details of waveform analysis
    • A61B5/7253—Details of waveform analysis characterised by using transforms
    • A61B5/726—Details of waveform analysis characterised by using transforms using Wavelet transforms
    • A—HUMAN NECESSITIES
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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
    • A61B5/046—Detecting fibrillation
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    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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