Algorithms for sleep-wake identification using actigraphy: A comparative study and new results

Joëlle Tilmanne; Jérôme Urbain; Mayuresh V. Kothare; Alain Vande Wouwer; Sanjeev V. Kothare

doi:10.1111/j.1365-2869.2008.00706.x

Algorithms for sleep-wake identification using actigraphy: A comparative study and new results

Joëlle Tilmanne, Jérôme Urbain, Mayuresh V. Kothare, Alain Vande Wouwer, Sanjeev V. Kothare

Research output: Contribution to journal › Article › peer-review

67 Scopus citations

Abstract

The aim of this study was to investigate two new scoring algorithms employing artificial neural networks and decision trees for distinguishing sleep and wake states in infants using actigraphy and to validate and compare the performance of the proposed algorithms with known actigraphy scoring algorithms. The study employed previously recorded longitudinal physiological infant data set from the Collaborative Home Infant Monitoring Evaluation (CHIME) study conducted between 1994 and 1998 [b4http://dccwww.bumc.bu.edu/ChimeNisp/Main- Chime.asp; Sleep26 (1997) 553] at five clinical sites around the USA. The original CHIME data set contains recordings of 1079 infants

Original language	English (US)
Pages (from-to)	85-98
Number of pages	14
Journal	Journal of Sleep Research
Volume	18
Issue number	1
DOIs	https://doi.org/10.1111/j.1365-2869.2008.00706.x
State	Published - Mar 2009
Externally published	Yes

Keywords

Actigraphy
Artificial neural networks
Decision trees
Sleep diagnosis
Sleep-wake scoring

ASJC Scopus subject areas

Behavioral Neuroscience
Cognitive Neuroscience
Medicine(all)

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10.1111/j.1365-2869.2008.00706.x

Cite this

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abstract = "The aim of this study was to investigate two new scoring algorithms employing artificial neural networks and decision trees for distinguishing sleep and wake states in infants using actigraphy and to validate and compare the performance of the proposed algorithms with known actigraphy scoring algorithms. The study employed previously recorded longitudinal physiological infant data set from the Collaborative Home Infant Monitoring Evaluation (CHIME) study conducted between 1994 and 1998 [b4http://dccwww.bumc.bu.edu/ChimeNisp/Main- Chime.asp; Sleep26 (1997) 553] at five clinical sites around the USA. The original CHIME data set contains recordings of 1079 infants ",

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AU - Wouwer, Alain Vande

AU - Kothare, Sanjeev V.

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Algorithms for sleep-wake identification using actigraphy: A comparative study and new results

Abstract

Keywords

ASJC Scopus subject areas

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