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Garg et al., 2018 - Google Patents

Identification of motion outliers in wrist pulse signal

Garg et al., 2018

Document ID
7041403597545156010
Author
Garg N
Bisht A
Ryait H
Kumar A
Publication year
Publication venue
Computers & Electrical Engineering

External Links

Snippet

Wrist pulse signal (WPS) analysis is a popular method to investigate the health state of the human being. However, presence of outliers is one of the most common problems that persist even after clean-up of the wrist signals which disturb analysis and classification rate …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • A61B5/0402Electrocardiography, i.e. ECG
    • A61B5/0452Detecting specific parameters of the electrocardiograph cycle
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    • A61B5/7235Details of waveform analysis
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    • A61B5/02Detecting, 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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    • AHUMAN NECESSITIES
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    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
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