Automated Sleep Detection in Movement Disorders Using Deep Brain Stimulation and Machine Learning

Chronic intracranial narrowband recordings can accurately identify sleep in various movement disorders and targets in this proof-of-concept study. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

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Institutions

Publication Details

Journal
Movement Disorders
Published
2024-08-23
DOI
https://doi.org/10.1002/mds.29987
Citations
9
Primary Topic
Neurological disorders and treatments
Type
article
Field-Weighted Citation Impact
3.32

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article

Automated Sleep Detection in Movement Disorders Using Deep Brain Stimulation and Machine Learning

Arjun Balachandar, Alfonso A. Fasano, Okeanis Vaou, Yosra Hashim
9 citations
Movement Disorders
Neurological disorders and treatments
3.32
article

Automated Sleep Detection in Movement Disorders Using Deep Brain Stimulation and Machine Learning

Arjun Balachandar, Alfonso A. Fasano, Okeanis Vaou, Yosra Hashim
article en
9 citations

Abstract

Chronic intracranial narrowband recordings can accurately identify sleep in various movement disorders and targets in this proof-of-concept study. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Movement DisordersVol. 39(11)
University College Dublin (IE), University of Toronto (CA), Toronto Western Hospital (CA), Krembil Foundation (CA), Krembil Research Institute, The University of Texas at San Antonio (US)
Boston Scientific Corporation, Genome Canada, Ontario Genomics, Ontario Genomics Institute, Genome British Columbia, Genome Alberta, Canadian Institutes of Health Research
Openalex Percentile: Top 7%
Neurological disorders and treatments
3.32
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