Photoplethysmographic-based automated sleep-wake classification using support vector machine

Motin, Mohammod Abdul, Karmakar, Chandan, Palaniswami, Marimuthu and Penzel, Thomas 2020, Photoplethysmographic-based automated sleep-wake classification using support vector machine, Physiological Measurement, vol. 41, no. 7, pp. 1-12, doi: 10.1088/1361-6579/ab9482.

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Title Photoplethysmographic-based automated sleep-wake classification using support vector machine
Author(s) Motin, Mohammod AbdulORCID iD for Motin, Mohammod Abdul orcid.org/0000-0003-1618-3772
Karmakar, ChandanORCID iD for Karmakar, Chandan orcid.org/0000-0003-1814-0856
Palaniswami, Marimuthu
Penzel, Thomas
Journal name Physiological Measurement
Volume number 41
Issue number 7
Start page 1
End page 12
Total pages 12
Publisher IOP Publishing
Place of publication Bristol, Eng.
Publication date 2020-08
ISSN 0967-3334
1361-6579
Keyword(s) PPG peak to peak interval
PPG signal
pulse rate variability
sleep-wake classification
time domain features
Language eng
DOI 10.1088/1361-6579/ab9482
Indigenous content off
Field of Research 0903 Biomedical Engineering
1116 Medical Physiology
0906 Electrical and Electronic Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2020, Institute of Physics and Engineering in Medicine
Free to Read? No
Free to Read Start Date 2021-08-06
Persistent URL http://hdl.handle.net/10536/DRO/DU:30137351

Document type: Journal Article
Collection: Faculty of Science, Engineering and Built Environment
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