Smart Wearable EEG Sensor

Ramani Kannan, Syed Saad Azhar Ali*, Abdulrehman Farah, Syed Hasan Adil, Amjad Khan

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

12 Scopus citations

Abstract

Currently, traditional and ambulatory EEG systems are beyond ideal for patients suffering from different brain diseases. Traditional monitoring of electrical activity in a diseased brain is limited to the clinical environment where patients being put away from natural environment in which provoking factors of abnormalities in the electrical activity of the brain are more likely to occur. Similarly, ambulatory EEG systems have a drawback of being cumbersome and impose some restrictions on the patient, such as not being able to show in public due to the social acceptability of wearing such a head-mounted device. The will of the patients to not publicizing their disorder or illnesses is a major drawback for current EEG system to be widely adopted. This paper presents an attempt to develop a wearable EEG prototype using off-the-shelf components to record EEG signal from the ear and display the obtained brain signals in the LabVIEW software. The developed prototype was able to record Ear-EEG in real-time.

Original languageEnglish
Pages (from-to)138-143
Number of pages6
JournalProcedia Computer Science
Volume105
DOIs
StatePublished - 2016
Externally publishedYes
EventIEEE International Symposium on Robotics and Intelligent Sensors, IRIS 2016 - Tokyo, Japan
Duration: 17 Dec 201620 Dec 2016

Bibliographical note

Publisher Copyright:
© 2017 The Authors.

Keywords

  • Ear-EEG
  • Electroencephalography
  • LabVIEW

ASJC Scopus subject areas

  • General Computer Science

Fingerprint

Dive into the research topics of 'Smart Wearable EEG Sensor'. Together they form a unique fingerprint.

Cite this