research-article

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

Authors:

Zohreh Raghebi,

Farnoush Banaei-kashani,

Ann C. Halbower, and

Tam VuAuthors Info & Claims

S3: Proceedings of the Eighth Wireless of the Students, by the Students, and for the Students Workshop

October 2016

Pages 33 - 35

https://doi.org/10.1145/2987354.2987363

Published: 03 October 2016 Publication History

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.

References

[1]

Aware. https://goo.gl/eh48HA. Accessed: 08/15/2016.

[2]

C. Damon et al. Non-negative matrix factorization for single-channel EEG artifact rejection. In IEEE ICASSP, 2013.

[3]

V. Goverdovsky et al. In-ear EEG from viscoelastic generic earpieces: Robust and unobtrusive 24/7 monitoring. IEEE Sensors Journal, 16(1), 2016.

[4]

W. Gu et al. InEar BioFeedController: A Headset For Hands-Free And Eyes-Free Interaction With Mobile Devices. In ACM CHI, 2013.

[5]

KOKOON. https://kokoon.io/. Accessed: 08/15/2016.

[6]

A. Kulkarni et al. Soft, curved electrode systems capable of integration on the auricle as a persistent brain-computer interface. In Proc. of the National Academy of Sciences, 2015.

[7]

A. Lefevre et al. Itakura-Saito nonnegative matrix factorization with group sparsity. In IEEE ICASSP, 2011.

[8]

S. F. Liang et al. Development of an EOG-Based Automatic Sleep-Monitoring Eye Mask. 2015.

[9]

H. Manabe et al. Conductive rubber electrodes for earphone-based eye gesture input interface. Pers Ubiquit Comput, 19, 2015.

Digital Library

[10]

N. Merrill et al. Classifying Mental Gestures with In-Ear EEG. In IEEE BSN, 2016.

[11]

A. Nguyen et al. mSleepWatcher: Why didn't I sleep well? In ISSAT MCSE, 2015.

[12]

A. Nguyen et al. In-ear Biosignal Recording System: A Wearable for Automatic Whole-night Sleep Staging. In ACM WearSys, 2016.

Digital Library

[13]

OpenBCI. http://openbci.com/. Accessed: 08/15/2016.

[14]

A. Sano et al. Applications using Earphone with Biosignal Sensors. In Human Interface Society Meeting, 2010.

[15]

Sleep Shepherd. http://sleepshepherd.com/. Accessed: 08/15/2016.

[16]

Trackit. https://www.lifelinesneuro.com/. Accessed: 08/15/2016.

Cited By

Yi CWei BZhu JChen CWang YChen ZHuang YJiang F(2024)Mordo2: A Personalization Framework for Silent Command RecognitionIEEE Transactions on Neural Systems and Rehabilitation Engineering10.1109/TNSRE.2023.334206832(133-143)Online publication date: 2024
https://doi.org/10.1109/TNSRE.2023.3342068
Yi CWei BZhu JRho SChen ZJiang F(2023) Mordo : Silent Command Recognition Through Lightweight Around-Ear Biosensors IEEE Internet of Things Journal10.1109/JIOT.2022.320433610:1(763-773)Online publication date: 1-Jan-2023
https://doi.org/10.1109/JIOT.2022.3204336
Rajakumar G(2022)Future Trends for Carbon Nanotube Transistors in Sensing and Transmitting DataJournal of Electronics and Informatics10.36548/jei.2022.3.0024:3(131-141)Online publication date: 5-Sep-2022
https://doi.org/10.36548/jei.2022.3.002
Show More Cited By

Recommendations

A Lightweight and Inexpensive In-ear Sensing System For Automatic Whole-night Sleep Stage Monitoring
SenSys '16: Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM

This paper introduces LIBS, a light-weight and inexpensive wearable sensing system, that can capture electrical activities of human brain, eyes, and facial muscles with two pairs of custom-built flexible electrodes each of which is embedded on an off-...
Read More
In-ear Biosignal Recording System: A Wearable For Automatic Whole-night Sleep Staging
WearSys '16: Proceedings of the 2016 Workshop on Wearable Systems and Applications

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 ...
Read More
Mapping Epilepsy Monitoring Challenges for Enhanced Patient Experience
Human-Computer Interaction
Abstract
Epilepsy is one of the most common neurological diseases, affecting people of all ages. A considerable number of patients with epilepsy (PWE) are resistant to drug therapy and require constant monitoring. In the scope of developing a wearable for ...
Read More

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

S3: Proceedings of the Eighth Wireless of the Students, by the Students, and for the Students Workshop

October 2016

52 pages

ISBN:9781450342551

DOI:10.1145/2987354

Program Chairs:
Shubham Jain
Rutgers University
,
Yasaman Ghasem Pour
Rice University

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 October 2016

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

MobiCom'16

MobiCom'16: The 22nd Annual International Conference on Mobile Computing and Networking

October 3 - 7, 2016

New York, New York City

Acceptance Rates

S3 Paper Acceptance Rate 15 of 18 submissions, 83%;

Overall Acceptance Rate 65 of 93 submissions, 70%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
153
Total Downloads

Downloads (Last 12 months)4
Downloads (Last 6 weeks)0

Other Metrics

View Author Metrics

Citations

Cited By

Yi CWei BZhu JChen CWang YChen ZHuang YJiang F(2024)Mordo2: A Personalization Framework for Silent Command RecognitionIEEE Transactions on Neural Systems and Rehabilitation Engineering10.1109/TNSRE.2023.334206832(133-143)Online publication date: 2024
https://doi.org/10.1109/TNSRE.2023.3342068
Yi CWei BZhu JRho SChen ZJiang F(2023) Mordo : Silent Command Recognition Through Lightweight Around-Ear Biosensors IEEE Internet of Things Journal10.1109/JIOT.2022.320433610:1(763-773)Online publication date: 1-Jan-2023
https://doi.org/10.1109/JIOT.2022.3204336
Rajakumar G(2022)Future Trends for Carbon Nanotube Transistors in Sensing and Transmitting DataJournal of Electronics and Informatics10.36548/jei.2022.3.0024:3(131-141)Online publication date: 5-Sep-2022
https://doi.org/10.36548/jei.2022.3.002
Mohana Sundaram KPrakash PKarthikeyan DMammo W(2021)Improved Carbon Nanotube Field Effect Transistor for Designing a Hearing Aid Filtering ApplicationJournal of Nanomaterials10.1155/2021/70240322021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/7024032
Shukla RKiran NWang RGummeson JLee SGanti RJiang XPicco GZhou X(2019)SkinnyPowerProceedings of the 17th Conference on Embedded Networked Sensor Systems10.1145/3356250.3360034(68-82)Online publication date: 10-Nov-2019
https://dl.acm.org/doi/10.1145/3356250.3360034
Plazak JKersten-Oertel M(2018)A Survey on the Affordances of “Hearables”Inventions10.3390/inventions30300483:3(48)Online publication date: 14-Jul-2018
https://doi.org/10.3390/inventions3030048

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

ePub

View this article in ePub.

Media

Figures

Other

Tables

View Table of Contents