Published October 2018
| public
Book Section - Chapter
Absence Seizure Detection Using Ramanujan Filter Banks
- Creators
- Tenneti, Srikanth V.
- Vaidyanathan, P. P.
Abstract
Absence seizures are a type of generalized seizures characterized by a 3 Hz periodic spike and wave discharge pattern in the Electroencephalogram (EEG). The most common way to diagnose them is by detecting such periodic patterns in a patient's EEG. Recently, a new method known as Ramanujan Filter Bank (RFB) was proposed for identifying, estimating and localizing periodicities in data. The RFB was shown to offer important advantages over traditional period estimation techniques in DSP. In this work, we demonstrate that the RFB offers very useful diagnostic information when applied to EEG signals from absence-seizure patients.
Additional Information
© 2018 IEEE. This work was supported in parts by the ONR grants N00014-17-1-2732 and N00014-18-1-2390, the NSF grant CCF-1712633, and an Amazon post doctoral fellowship facilitated through the Information Science and Technology (IST) initiative at Caltech.Additional details
- Eprint ID
- 93403
- Resolver ID
- CaltechAUTHORS:20190301-152543153
- N00014-17-1-2732
- Office of Naval Research (ONR)
- N00014-18-1-2390
- Office of Naval Research (ONR)
- CCF-1712633
- NSF
- Amazon
- Created
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2019-03-01Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field