期刊
PHYSIOLOGICAL MEASUREMENT
卷 35, 期 1, 页码 R1-R57出版社
IOP PUBLISHING LTD
DOI: 10.1088/0967-3334/35/1/R1
关键词
actigraphy; audio; electrocardiogram; electroencephalogram; photoplethysmogram; respiration; signal processing; sleep
资金
- RCUK Digital Economy Programme [EP/G036861/1]
- CIBER de Bioingenieria, Biomateriales y Nanomedicina through Instituto de Salud Carlos III
- FEDER (Spain) [TEC2010-21703-C03-02]
- MINECO
- FEDER
- GTC T-30 from DGA (Spain)
- European Social Fund (EU)
- Engineering and Physical Sciences Research Council
- Balliol French Anderson Scholarship Fund
- National Institutes of Health
- American Heart Association
- Technical University of Sydney [LP100200842]
- Sino-German Center for Research Promotion [GZ 538]
- German Ministry for Education and Research [01EZ1132]
- Wellcome Trust [098461/Z/12/Z]
- EPSRC [EP/K020161/1]
- Engineering and Physical Sciences Research Council [EP/K020161/1] Funding Source: researchfish
- NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [K24HL093218] Funding Source: NIH RePORTER
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.
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