Sleep Quality Prediction From Wearable Data Using Deep Learning.

Aarti Sathyanarayana Shafiq Joty Luis Fernandez-Luque Ferda Ofli Jaideep Srivastava Ahmed Elmagarmid Teresa Arora Shahrad Taheri

Published in: JMIR mHealth and uHealth (2016)

Deep learning methods can predict the quality of sleep based on actigraphy data from awake periods. These predictive models can be an important tool for sleep research and to improve eHealth solutions for sleep.

Keyphrases

sleep quality
deep learning
depressive symptoms
physical activity
electronic health record
convolutional neural network
artificial intelligence
machine learning
heart rate
blood pressure