Project Description
Sleep occupies nearly a third of human life and acts as a critical daily function to help the human body balance and regulate its vital systems. Precisely doing sleep quality assessment requires a simultaneous evaluation of three fundamental bioelectrical signals generated by brain activities, eye movements, and muscle contractions during sleep.
However, the "gold standard" sleep diagnostic tool is currently cumbersome, expensive, and inconvenient in use. This work aims at developing a cost-effective mobile in-ear sensor capable of non-obtrusively capturing such three important biosignals with high fidelity and accurately monitoring sleep of sleeping users.
Publications
A Lightweight And Inexpensive In-ear Sensing System For Automatic Whole-night Sleep Stage Monitoring
ACM SenSys 2016
Anh Nguyen, Raghda Alqurashi, Zohreh Raghebi, Farnoush Banaei-kashani, Ann C. Halbower, and Tam Vu
21 out of 119 submissions, acceptance ratio: 17.6%
Best Paper Award
CACM Highlights
SIGMOBILE Highlights
LIBS: A Lightweight and Inexpensive In-Ear Sensing System for Automatic Whole-Night Sleep Stage Monitoring
ACM GetMobile Highlights
Anh Nguyen, Raghda Alqurashi, Zohreh Raghebi, Farnoush Banaei-kashani, Ann C. Halbower, and Tam Vu
In-ear Biosignal Recording System: A Wearable For Automatic Whole-night Sleep Staging
ACM MobiSys - WearSys 2016
Anh Nguyen, Raghda Alqurashi, Zohreh Raghebi, Farnoush Banaei-kashani, Ann C. Halbower, Thang Dinh, and Tam Vu