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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publicationWearSys 2016 - Proceedings of the 2016 Workshop on Wearable Systems and Applications, co-located with MobiSys 2016
PublisherAssociation for Computing Machinery, Inc
Pages19-24
Number of pages6
ISBN (Electronic)9781450343268
DOIs
StatePublished - Jun 30 2016
Event2nd ACM Workshop on Wearable Systems and Applications, WearSys 2016 - Singapore, Singapore
Duration: Jun 30 2016 → …

Other

Other2nd ACM Workshop on Wearable Systems and Applications, WearSys 2016
CountrySingapore
CitySingapore
Period6/30/16 → …

Keywords

  • Biosignal
  • In-ear wearable
  • Signal separation
  • Sleep staging

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Hardware and Architecture

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  • 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). [2935649] Association for Computing Machinery, Inc. https://doi.org/10.1145/2935643.2935649