LIBS: A low-cost in-ear bioelectrical sensing solution for healthcare applications

Anh Nguyen, Zohreh Raghebi, Farnoush Banaei-Kashani, Ann C. Halbower, Tam Vu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Bioelectrical signals representing electrical activities of human brain, eyes, and facial muscles have found widespread use both as important inputs for critical medical issues and as an invisible communication pathway between human and external devices. However, existing techniques for measuring those biosignals require attaching electrodes on the face and do not come in handy sizes for daily usage. Additionally, no study has been capable of providing all three biosignals with high fidelity simultaneously. In this paper, we present a low-cost bioelectrical sensing system, called LIBS, that can robustly collect the biosignal of good quality from inside human ears and extract all those three fundamental biosignals without loss of information. The practicality of LIBS is shown through one real world scenario of a sleep quality monitoring system. Based on preliminary results, we further propose potential healthcare applications utilizing the sensor's outputs for our future research.

Original languageEnglish
Title of host publicationProceedings of the 8th Wireless of the Students, by the Students, and for the Students Workshop, S3
PublisherAssociation for Computing Machinery
Pages33-35
Number of pages3
ISBN (Electronic)9781450342551
DOIs
StatePublished - Oct 3 2016
Event8th Wireless of the Students, by the Students, and for the Students Workshop, S3 - New York, United States
Duration: Oct 3 2016Oct 7 2016

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
Volume03-07-October-2016

Conference

Conference8th Wireless of the Students, by the Students, and for the Students Workshop, S3
Country/TerritoryUnited States
CityNew York
Period10/3/1610/7/16

Keywords

  • Biosignals
  • Health care
  • In-ear wearable
  • Signal separation

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