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Tadi et al., 2017 - Google Patents

Automatic identification of signal quality for heart beat detection in cardiac MEMS signals

Tadi et al., 2017

Document ID
15840477404997242827
Author
Tadi M
Lahdenoja O
Humanen T
Koskinen J
Pänkaälä M
Koivisto T
Publication year
Publication venue
2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)

External Links

Snippet

Rapidly growing number of heart monitoring systems based on microelectromechanical sensor (MEMS) devices demands highly accurate processing algorithms for indicating heartbeat location. In clinical applications based on the analysis of cardiovascular …
Continue reading at ieeexplore.ieee.org (other versions)

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
    • AHUMAN NECESSITIES
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    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
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    • A61B5/6802Sensor mounted on worn items
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    • A61B5/7235Details of waveform analysis
    • A61B5/7239Details of waveform analysis using differentiation including higher order derivatives
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    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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    • A61B7/02Stethoscopes

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