Adaptive Sleep-Wake Discrimination for Wearable Devices

Sleep/wake classification systems that rely on physiological signals suffer from inter subject differences that make accurate classification with a single, subject-independent model difficult. To overcome the limitations of intersubject variability, we suggest a novel online adaptation technique tha...

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Bibliographic Details
Published in:	IEEE transactions on biomedical engineering Vol. 58; no. 4; pp. 920 - 926
Main Authors:	Karlen, Walter, Floreano, Dario
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.04.2011 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Accuracy Adaptation Algorithm design and analysis Algorithms Applied sciences Artificial intelligence Artificial neural networks Biological and medical sciences Cardiology Computer science; control theory; systems context awareness Diagnosis, Computer-Assisted - instrumentation Diagnosis, Computer-Assisted - methods Electrodiagnosis. Electric activity recording Equipment Design Equipment Failure Analysis Exact sciences and technology Humans Information, signal and communications theory Investigative techniques, diagnostic techniques (general aspects) Medical sciences personal health physiological signal classification point-of-care Polysomnography - instrumentation Polysomnography - methods Reproducibility of Results Sensitivity and Specificity Signal and communications theory Signal Processing, Computer-Assisted - instrumentation Signal representation. Spectral analysis Signal, noise Sleep Sleep - physiology Studies Telecommunications and information theory Topology Training Wakefulness - physiology wearable wearable physiological signal classification Neural network Algorithm Electrodiagnosis Sleep Wakefulness Point of care testing Accelerometer Electrocardiography Portable equipment context awareness personal health Sleep wake cycle Respiration Artificial intelligence Signal analysis point-of-care Biomedical engineering Adaptation
ISSN:	0018-9294, 1558-2531, 1558-2531
Online Access:	Get full text
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