In-ear biosignal recording system: A wearable for automatic whole-night sleep staging

Anh Nguyen; Raghda Alqurashi; Zohreh Raghebi; Farnoush Banaei-Kashani; Ann C. Halbower; Thang Dinh; Tam Vu

doi:10.1145/2935643.2935649

In-ear biosignal recording system: A wearable for automatic whole-night sleep staging

Anh Nguyen, Raghda Alqurashi, Zohreh Raghebi, Farnoush Banaei-Kashani, Ann C. Halbower, Thang Dinh, Tam Vu

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	WearSys 2016 - Proceedings of the 2016 Workshop on Wearable Systems and Applications, co-located with MobiSys 2016
Publisher	Association for Computing Machinery, Inc
Pages	19-24
Number of pages	6
ISBN (Electronic)	9781450343268
DOIs	https://doi.org/10.1145/2935643.2935649
State	Published - Jun 30 2016
Event	2nd ACM Workshop on Wearable Systems and Applications, WearSys 2016 - Singapore, Singapore Duration: Jun 30 2016 → …

Other

Other	2nd ACM Workshop on Wearable Systems and Applications, WearSys 2016
Country/Territory	Singapore
City	Singapore
Period	6/30/16 → …

Keywords

Biosignal
In-ear wearable
Signal separation
Sleep staging

ASJC Scopus subject areas

Computer Networks and Communications
Software
Hardware and Architecture

Access to Document

10.1145/2935643.2935649

Cite this

Nguyen, A., Alqurashi, R., Raghebi, Z., Banaei-Kashani, F., Halbower, A. C., Dinh, T., & Vu, T. (2016). In-ear biosignal recording system: A wearable for automatic whole-night sleep staging. In WearSys 2016 - Proceedings of the 2016 Workshop on Wearable Systems and Applications, co-located with MobiSys 2016 (pp. 19-24). Article 2935649 Association for Computing Machinery, Inc. https://doi.org/10.1145/2935643.2935649

In-ear biosignal recording system: A wearable for automatic whole-night sleep staging. / Nguyen, Anh; Alqurashi, Raghda; Raghebi, Zohreh et al.
WearSys 2016 - Proceedings of the 2016 Workshop on Wearable Systems and Applications, co-located with MobiSys 2016. Association for Computing Machinery, Inc, 2016. p. 19-24 2935649.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nguyen, A, Alqurashi, R, Raghebi, Z, Banaei-Kashani, F, Halbower, AC, Dinh, T & Vu, T 2016, In-ear biosignal recording system: A wearable for automatic whole-night sleep staging. in WearSys 2016 - Proceedings of the 2016 Workshop on Wearable Systems and Applications, co-located with MobiSys 2016., 2935649, Association for Computing Machinery, Inc, pp. 19-24, 2nd ACM Workshop on Wearable Systems and Applications, WearSys 2016, Singapore, Singapore, 6/30/16. https://doi.org/10.1145/2935643.2935649

Nguyen A, Alqurashi R, Raghebi Z, Banaei-Kashani F, Halbower AC, Dinh T et al. In-ear biosignal recording system: A wearable for automatic whole-night sleep staging. In WearSys 2016 - Proceedings of the 2016 Workshop on Wearable Systems and Applications, co-located with MobiSys 2016. Association for Computing Machinery, Inc. 2016. p. 19-24. 2935649 doi: 10.1145/2935643.2935649

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In-ear biosignal recording system: A wearable for automatic whole-night sleep staging

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