Nonnegative matrix factorization and sparse representation for the automated detection of periodic limb movements in sleep.
Stroke is a leading cause of death and disability in adults, and incurs a significant economic burden to society. Periodic limb movements (PLMs) in sleep are repetitive movements involving the great toe, ankle, and hip. Evolving evidence suggests that PLMs may be associated with high blood pressure...
| Published in: | Medical & Biological Engineering & Computing Vol. 54; no. 11; pp. 1641 - 1655 |
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| Main Authors: | , , , , , , , , , , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Nov2016
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=118887927&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 118887927 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Nov2016 vid: 54 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 118887927 118887927 NLM26872678 10.1007/s11517-015-1444-y NLM26872678 118887927 ppf: 1641 ppct: 14 formats: fmt: @attributes: type: P tig: atl: Nonnegative matrix factorization and sparse representation for the automated detection of periodic limb movements in sleep. aug: au: Shokrollahi, Mehrnaz Krishnan, Sridhar Dopsa, Dustin Muir, Ryan Black, Sandra Swartz, Richard Murray, Brian Boulos, Mark Dopsa, Dustin D Muir, Ryan T Black, Sandra E Swartz, Richard H Murray, Brian J Boulos, Mark I affil: Department of Computer Science, Toronto Rehabilitation Institute , University of Toronto , 555 University Ave Toronto M5G 2A2 Canada sug: subj: Algorithms Sleep Automation Signal Processing, Computer Assisted Female Male Electromyography Sleep Stages Middle Age Stroke Diagnosis Time Factors Brain Pathology Middle Aged: 45-64 years Female Male ab: Stroke is a leading cause of death and disability in adults, and incurs a significant economic burden to society. Periodic limb movements (PLMs) in sleep are repetitive movements involving the great toe, ankle, and hip. Evolving evidence suggests that PLMs may be associated with high blood pressure and stroke, but this relationship remains underexplored. Several issues limit the study of PLMs including the need to manually score them, which is time-consuming and costly. For this reason, we developed a novel automated method for nocturnal PLM detection, which was shown to be correlated with (a) the manually scored PLM index on polysomnography, and (b) white matter hyperintensities on brain imaging, which have been demonstrated to be associated with PLMs. Our proposed algorithm consists of three main stages: (1) representing the signal in the time-frequency plane using time-frequency matrices (TFM), (2) applying K-nonnegative matrix factorization technique to decompose the TFM matrix into its significant components, and (3) applying kernel sparse representation for classification (KSRC) to the decomposed signal. Our approach was applied to a dataset that consisted of 65 subjects who underwent polysomnography. An overall classification of 97 % was achieved for discrimination of the aforementioned signals, demonstrating the potential of the presented method. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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