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Heart rate spectrum analysis for sleep quality detection

  • To evaluate the quality of sleep, it is important to determine how much time was spent in each sleep stage during the night. The gold standard in this domain is an overnight polysomnography (PSG). But the recording of the necessary electrophysiological signals is extensive and complex and the environment of the sleep laboratory, which is unfamiliar to the patient, might lead to distorted results. In this paper, a sleep stage detection algorithm is proposed that uses only the heart rate signal, derived from electrocardiogram (ECG), as a discriminator. This would make it possible for sleep analysis to be performed at home, saving a lot of effort and money. From the heart rate, using the fast Fourier transformation (FFT), three parameters were calculated in order to distinguish between the different sleep stages. ECG data along with a hypnogram scored by professionals was used from Physionet database, making it easy to compare the results. With an agreement rate of 41.3%, this approach is a good foundation for future research.

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Metadaten
Name:Martínez Madrid, Natividad
URN:urn:nbn:de:bsz:rt2-opus4-16166
DOI:https://doi.org/10.1186/s13639-017-0072-z
ISSN:1687-3955
eISSN:1687-3963
Erschienen in:EURASIP journal on embedded systems : EURASIP JES / a publication of the European Association for Speech, Signal and Image Processing
Publisher:Springer
Place of publication:Heidelberg
Document Type:Article
Language:English
Year of Publication:2017
Tag:ECG; health care; heart rate; sleep quality; sleep stages
Issue:26
Pagenumber:5
First Page:1
Last Page:5
Dewey Decimal Classification:570 Biowissenschaften, Biologie
Open Access:Ja
Licence (German):License Logo  Creative Commons - CC BY - Namensnennung 4.0 International