MNS Project

iES: in-Ear Sensing System

Project Description

Sleep occupies nearly a third of human life and acts as a critical daily function to help human body balance and regulate its vital system. Precisely doing sleep quality assessment requires a simultaneous evaluation of three fundamental bioelectrical signals generated by brain activities, eye movements, and muscle contractions during sleep. However, the “gold standard” sleep diagnostic tool is currently cumbersome, expensive, and inconvenient in use. This work aims at developing a costly effective mobile in-ear sensor capable of non-obtrusively capturing such three important biosignals with high fidelity and accurately monitoring sleep of sleeping users.

The Team

• Tam Vu (Principle Investigator)
• Ann C. Halbower (Principle Investigator)
• Farnoush Banaei-kashani (Principle Investigator)
• Anh Nguyen (Lead Student)
• Zohreh Raghebi
• Raghda Alqurashi
• Brian Luong
• Aria Samiei
• Trent Jones

Project Status and News

• 09/2017: In-ear Bio-Sensing System paper is awarded CACM Research Highlights.
• 04/2017: In-ear Bio-Sensing System paper is awarded ACM SIGMOBILE Research Highlights [PDF].
• 11/2016: In-ear Bio-Sensing System paper is awarded Best Paper at ACM SenSys 2016.
• 07/2016: In-ear Bio-Sensing System paper is accepted to ACM SenSys 2016.
• 02/2016: In-ear Bio-Sensing System paper is accepted to ACM MobiSys-WearSys 2016.

Publications

• LIBS: A Lightweight and Inexpensive In-Ear Sensing System for Automatic Whole-Night Sleep Stage Monitoring
  ACM GetMobile Highlights
  Anh Nguyen, Raghda Alqurashi, Zohreh Raghebi, Farnoush Banaei-kashani, Ann C. Halbower, and Tam Vu
  
• Whole Night Sleep Monitoring with a Low-cost In-ear Wearable Device
  ATS International Conference 2017 - The American Thoracic Society International Conference, May 2017.
  Anh Nguyen, Zohreh Raghebi, Farnoush Banaei-kashani, Thang Dinh, Ann C. Halbower, and Tam Vu
  
• A Lightweight And Inexpensive In-ear Sensing System For Automatic Whole-night Sleep Stage Monitoring
  ACM SenSys 2016 - The ACM Conference on Embedded Networked Sensor Systems, November 2016.
  Anh Nguyen, Raghda Alqurashi, Zohreh Raghebi, Farnoush Banaei-kashani, Ann C. Halbower, and Tam Vu
  (21 out of 119 submissions, acceptance ratio: 17.6%)
  Presentation: Youtube link
• LIBS: a low-cost in-ear bioelectrical sensing solution for healthcare applications
  ACM MobiCom - S3 2016 - The ACM International Conference on Mobile Computing and Networking.
  The Eighth Wireless of the Students, by the Students, and for the Students Workshop, October 2016.
  Anh Nguyen, Zohreh Raghebi, Farnoush Banaei-kashani, Ann C. Halbower, and Tam Vu
  
• In-ear Biosignal Recording System: A Wearable For Automatic Whole-night Sleep Staging
  ACM MobiSys - WearSys 2016 - The ACM International Conference on Mobile Systems, Applications and Services.
  Workshop on Wearable Systems and Applications, June 2016.
  Anh Nguyen, Raghda Alqurashi, Zohreh Raghebi, Farnoush Banaei-kashani, Ann C. Halbower, Thang Dinh, and Tam Vu
  

Related Pictures

LIBS SYSTEM

LIBS System

30 June, 2016

LIBS APPLICATION

LIBS & Sleep Staging

30 June, 2016

EXPERIMENT AREA

Conducting an Experiment

30 June, 2016

SIGNAL SEPARATION RESULT

Signal Separation

29 June, 2016