Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls
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Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls

Jakobsen P;Garcia-Ceja E;Riegler M;Stabell LA;Nordgreen T;Torresen J;Fasmer OB;Oedegaard KJ;;
PloS one 2020 Vol. 15 pp. -
401
p2020plosapplying

Abstract

Current practice of assessing mood episodes in affective disorders largely depends on subjective observations combined with semi-structured clinical rating scales. Motor activity is an objective observation of the inner physiological state expressed in behavior patterns. Alterations of motor activit …

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National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine pmid:32833958 pmc7446864 doi:10.1371/journal.pone.0231995 petter jakobsen enrique garcia-ceja ketil joachim oedegaard

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