Computers in Biology and Medicine 2019
To address these issues, we propose a clinical decision support system to predict sleep quality based on trends of physiological signals in the deep sleep stage.
on 100 sleep nights of 8 caregivers
HEART RATE VARIABILITY
SLEEP QUALITY PREDICTION