Open Access
Sleep Stage Classification Using Wearable Sensors
Emre Aydın
1
,
Jennifer Thompson
2
,
Selin Demir
3
,
Rajesh Kumar
4
,
Jennifer Thompson
2
,
Selin Demir
3
,
Rajesh Kumar
4
1
Bogazici University, Turkey
2
Harvard Medical School, USA
3
Ankara University, Turkey
4
Indian Agricultural Research Institute, India
Abstract
This systematic review synthesizes current research on this research area. We analyze 147 peer-reviewed studies examining various aspects of the problem. The review identifies key challenges and opportunities, adaptation strategies, and recommendations. Our findings suggest that significant improvements can be achieved with the proposed approach.
Keywords
IoT,smart systems,sensors,automation,edge computing
How to Cite
Aydın, E., Thompson, J., Demir, S., & Kumar, R. (2022). Sleep Stage Classification Using Wearable Sensors. Nivo Light - International Journal of Research & Innovation, 4(4), 22–26. https://doi.org/10.28051/ojstest-144
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