@inproceedings{493c54cb0e694d09a776961940dfc642,
title = "Poster Abstract: Automated sleep period estimation in wearable multi-sensor systems",
abstract = "Sleep period determination is essential to accurate sleep quality analysis. In this paper, we propose an automated algorithm for wearable multi-sensor systems to precisely estimate the sleep period. It leverages the information of accelerometer, and vital signs such as heart rate and breathing rate. Compared to the sleep periods determined by the clinical diagnosing-grade equipment, our algorithm achieves average time differences of 9.0 and 10.4 minutes for healthy subjects and clinical patients, respectively.",
keywords = "Algorithm, Healthcare, Sleep periods, Wearable sensors",
author = "Yuezhou Zhang and Zhicheng Yang and Zhengbo Zhang and Xiaoli Liu and Desen Cao and Peiyao Li and Jiewen Zheng and Ke Lan",
note = "Publisher Copyright: {\textcopyright} 2018 Copyright held by the owner/author(s). Publication rights licensed to ACM.; 16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018 ; Conference date: 04-11-2018 Through 07-11-2018",
year = "2018",
month = nov,
day = "4",
doi = "10.1145/3274783.3275155",
language = "英语",
series = "SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems",
publisher = "Association for Computing Machinery, Inc",
pages = "305--306",
booktitle = "SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems",
}