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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
Author:Wilhelm Daniel ScherzORCiD, Daniel Fritz, Oana Ramona Velicu, Ralf SeepoldORCiDGND, Natividad Martínez MadridORCiD
DOI:https://doi.org/10.1186/s13639-017-0072-z
ISSN:1687-3963
Parent Title (English):EURASIP Journal on Embedded Systems
Volume:2017
Document Type:Article
Language:English
Year of Publication:2017
Release Date:2019/05/17
Tag:ECG; Health care; Heart rate; Sleep quality; Sleep stages
Issue:26
Pagenumber:5
Open Access?:Ja
Relevance:Peer reviewed Publikation in Thomson-Reuters-Listung