NDLI: Analysis of actigraph parameters for relapse prediction in bipolar disorder: A feasibility study

Content Provider	IEEE Xplore Digital Library
Author	Novak, D. Albert, F. Spaniel, F.
Copyright Year	2014
Description	Author affiliation: Dept. of Cybern., Czech Tech. Univ. in Prague, Prague, Czech Republic (Novak, D.; Albert, F.) \|\| Prague Psychiatric Centre, Prague, Czech Republic (Spaniel, F.)
Abstract	The paper presents a framework for early identification of prodromal syndromes od mania or depression in bipolar disorder. The framework may mitigate relapses and improve patient functioning. The methodology consists of long-term actigraphy monitoring and simplified self-assessment tool to determine manic or depression events. Eight patients were involved in the feasibility study, spanning period of 150 months, resulting in 17 relapses and 3 hospitalizations in total. We concluded that the most promising parameter extracted from actigraphy recording is a circadian rhythm's interdaily stability. Using developed trend analysis applied on interdaily stability parameter, we achieved sensitivity and specificity about 65, resp. 68. We hypothesized that this performance is both mainly due to missing values in data and due to small amount of relapses.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	4972
Ending Page	4975
File Size	1090937
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944740
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Monitoring Market research Circadian rhythm Mood Stability analysis Feature extraction Time series analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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