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Tadi et al., 2016 - Google Patents

An adaptive approach for heartbeat detection based on S-transform in seismocardiograms

Tadi et al., 2016

Document ID
596790061495966405
Author
Tadi M
Lehtonen E
Lahdenoja O
Pankaala M
Koivisto T
Publication year
Publication venue
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

External Links

Snippet

This study presents a new technique which allows identification of individual heartbeats from seismocardiograms (SCG) with high accuracy. Our method is electrocardiogram (ECG) independent and designed based upon S-transform and Shannon energy. The S-transform …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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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
    • A61B5/0456—Detecting R peaks, e.g. for synchronising diagnostic apparatus
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    • A61B5/721—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
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    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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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
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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    • A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings

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