Abstract
Microsaccades are tiny, involuntary eye movements that occur during fixation, and they are necessary to human sight to maintain a sharp image and correct the effects of other fixational movements. Researchers have theorized and studied the effects of microsaccades on electroencephalography (EEG) signals to understand and eliminate the unwanted artifacts from EEG. The tripolar concentric ring electrode (TCRE) sensors are used to acquire TCRE EEG (tEEG). The tEEG detects extremely focal signals from directly below the TCRE sensor. We have noticed a slow wave frequency found in some tEEG recordings. Therefore, we conducted the current work to determine if there was a correlation between the slow wave in the tEEG and the microsaccades. This was done by analyzing the coherence of the frequency spectrums of both tEEG and eye movement in recordings where microsaccades are present. Our preliminary findings show that there is a correlation between the two.
Original language | English |
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Title of host publication | 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
Subtitle of host publication | Smarter Technology for a Healthier World, EMBC 2017 - Proceedings |
Pages | 4151-4154 |
Number of pages | 4 |
ISBN (Electronic) | 9781509028092 |
DOIs | |
State | Published - Sep 13 2017 |
Event | 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of Duration: Jul 11 2017 → Jul 15 2017 |
Publication series
Name | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
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ISSN (Print) | 1557-170X |
Conference
Conference | 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 |
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Country/Territory | Korea, Republic of |
City | Jeju Island |
Period | 7/11/17 → 7/15/17 |
Bibliographical note
Funding Information:* This research was supported by NSF OIA award 1539068 to WB. R. Bellisle and W. Besio are with the Electrical, Computer, and Biomedical Engineering Department, University of Rhode Island, Kingston, RI 02881 USA (e-mails: rachel_bellisle@ my.uri.edu, besio@ele.uri.edu). P. Steele and R. Bartels are with CREmedical Corp., Kingston, RI, 02881 USA (emails: preston@cremedical.com, rachel@cremedical.com) L.Ding, is with Oklahoma University, Norman, OK 73019 USA. (e-mail: leiding@ou.edu). S. Sunderam is with the University of Kentucky, Lexington, KY 40506 USA. (e-mail: ssu223@uky.edu).
Publisher Copyright:
© 2017 IEEE.
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics