Algorithms for sleep-wake identification using actigraphy: a comparative study and new results
Autor: | Sanjeev V. Kothare, Jérôme Urbain, Mayuresh V. Kothare, Joëlle Tilmanne, Alain Vande Wouwer |
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Rok vydání: | 2009 |
Předmět: |
Male
Polysomnography Cognitive Neuroscience Decision tree Context (language use) Motor Activity Behavioral Neuroscience Humans Medicine Wakefulness Artificial neural network medicine.diagnostic_test business.industry Decision Trees Infant Newborn Infant Signal Processing Computer-Assisted Actigraphy General Medicine Linear discriminant analysis Term (time) Data set Nonlinear Dynamics Female Neural Networks Computer Sleep business Algorithm Algorithms Infant Premature |
Zdroj: | Journal of Sleep Research. 18:85-98 |
ISSN: | 1365-2869 0962-1105 |
DOI: | 10.1111/j.1365-2869.2008.00706.x |
Popis: | 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 [http://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 |
Databáze: | OpenAIRE |
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