TY - GEN
T1 - In-ear biosignal recording system
T2 - 2nd ACM Workshop on Wearable Systems and Applications, WearSys 2016
AU - Nguyen, Anh
AU - Alqurashi, Raghda
AU - Raghebi, Zohreh
AU - Banaei-Kashani, Farnoush
AU - Halbower, Ann C.
AU - Dinh, Thang
AU - Vu, Tam
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/6/30
Y1 - 2016/6/30
N2 - In this work, we present a low-cost and light-weight wearable sensing system that can monitor bioelectrical signals generated by electrically active tissues across the brain, the eyes, and the facial muscles from inside human ears. Our work presents two key aspects of the sensing, which include the construction of electrodes and the extraction of these biosignals using a supervised non-negative matrix factorization learning algorithm. To illustrate the usefulness of the system, we developed an autonomous sleep staging system using the output of our proposed in-ear sensing system. We prototyped the device and evaluated its sleep stage classification performance on 8 participants for a period of 1 month. With 94% accuracy on average, the evaluation results show that our wearable sensing system is promising to monitor brain, eyes, and facial muscle signals with reasonable fidelity from human ear canals.
AB - In this work, we present a low-cost and light-weight wearable sensing system that can monitor bioelectrical signals generated by electrically active tissues across the brain, the eyes, and the facial muscles from inside human ears. Our work presents two key aspects of the sensing, which include the construction of electrodes and the extraction of these biosignals using a supervised non-negative matrix factorization learning algorithm. To illustrate the usefulness of the system, we developed an autonomous sleep staging system using the output of our proposed in-ear sensing system. We prototyped the device and evaluated its sleep stage classification performance on 8 participants for a period of 1 month. With 94% accuracy on average, the evaluation results show that our wearable sensing system is promising to monitor brain, eyes, and facial muscle signals with reasonable fidelity from human ear canals.
KW - Biosignal
KW - In-ear wearable
KW - Signal separation
KW - Sleep staging
UR - http://www.scopus.com/inward/record.url?scp=84979731591&partnerID=8YFLogxK
U2 - 10.1145/2935643.2935649
DO - 10.1145/2935643.2935649
M3 - Conference contribution
AN - SCOPUS:84979731591
T3 - WearSys 2016 - Proceedings of the 2016 Workshop on Wearable Systems and Applications, co-located with MobiSys 2016
SP - 19
EP - 24
BT - WearSys 2016 - Proceedings of the 2016 Workshop on Wearable Systems and Applications, co-located with MobiSys 2016
PB - Association for Computing Machinery, Inc
Y2 - 30 June 2016
ER -