Work

A review of signals used in sleep analysis

Year: 2013

Type: review

Abstract: This article presents a review of signals used for measuring physiology and activity during sleep and techniques for extracting information from these signals. We examine both clinical needs and biomedical signal processing approaches across a range of sensor types. Issues with recording and analysing the signals are discussed, together with their applicability to various clinical disorders. Both univariate and data fusion (exploiting the diverse characteristics of the primary recorded signals) approaches are discussed, together with a comparison of automated methods for analysing sleep.

Source: Physiological Measurement

DOI: 10.1088/0967-3334/35/1/r1

Authors: A Roebuck, V Monasterio, E Gederi, M Osipov, J Behar, A Malhotra, T Penzel, G D Clifford

Institutions: University of Oxford, Universidad de Zaragoza, Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine, Instituto de Investigación en Ingeniería de Aragón, University of California San Diego, Charité – Universitätsmedizin Berlin

Language: English

Topic: Sleep and related disorders

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: bronze

Funders: Wellcome Trust, Research Councils UK, National Institutes of Health, Engineering and Physical Sciences Research Council, Instituto de Salud Carlos III, National Heart, Lung, and Blood Institute

Awards: G2489102138, Assessment of Upper Airway Mechanics Using Newer EMG Techniques, G3595162970, Multi-scale markers of circadian rhythm changes for monitoring of mental health, Sleep and Circadian Neuroscience Institute (SCNi)

OpenAlex ID: W1990729619

FWCI: 1.995

Cites: 324

Cited by: 223

Related to: 10