56. eeg channel interpolation using ellipsoid geodesic length

Department: Bioengineering
Research Institute Affiliation: San Diego Supercomputer Center (SDSC)
Faculty Advisor(s): Gert Cauwenberghs

Primary Student
Name: Hristos Courellis
Email: hcourell@ucsd.edu
Phone: 858-822-4814
Grad Year: 2017

EEG channel interpolation is of great significance when the EEG signal form a channel is very low quality or missing altogether. This is particularly critical for low density EEG arrays employed in several clinical and research applications because the missing channel represents a large portion of the underlying cortical activity and affects adversely further data analysis and, potentially, diagnosis. We present an approach for reconstructing a missing or poor EEG signal by combining signals from neighboring electrodes according to their distance from the electrode corresponding to the reconstructed signal. We used EEG data recorded from humans performing a cognitive task, omitted one channel at a time (to assess any spatial dependencies of our proposed approach), and reconstructed the omitted signal from the rest of the signals. Signals were reconstructed using Euclidean distance, great circle distance, and ellipsoid geodesic length and compared to reference (omitted) signals by means of inspection and normalized mean square error. Pilot results indicate that the ellipsoid geodesic length gave the best signal reconstruction as it provided event related potential and scalp map estimates closest to the reference and the smallest average (across all omitted channels) normalized mean square error (NMSE) values.

Industry Application Area(s)
Life Sciences/Medical Devices & Instruments | Software, Analytics

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