Direct application of an ECG-based sleep staging algorithm on reflective photoplethysmography data decreases performance

Direct application of an ECG-based sleep staging algorithm on reflective photoplethysmography data decreases performance

Abstract Objective The maturation of neural network-based techniques in combination with the availability of large sleep datasets has increased the interest in alternative methods of sleep monitoring. For unobtrusive sleep staging, the most promising algorithms are based on heart rate variability co...

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Bibliographic Details
Main Authors: M. M. van Gilst, B. M. Wulterkens, P. Fonseca, M. Radha, M. Ross, A. Moreau, A. Cerny, P. Anderer, X. Long, J. P. van Dijk, S. Overeem
Format: Article
Language:English
Published: BMC 2020-11-01
Series:BMC Research Notes
Subjects:
Heart rate variability
Sleep staging
Wearable
Polysomnography
Validation
Sleep disorders
Online Access:http://link.springer.com/article/10.1186/s13104-020-05355-0

Internet

http://link.springer.com/article/10.1186/s13104-020-05355-0

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