Seizure detection and prediction through clustering and temporal analysis of micro electrocorticographic data

Abstract

We have developed flexible, active, multiplexed recording devices for high resolution recording over large, clinically relevant areas in the brain. While this technology has enabled a much higher-resolution view of the electrical activity of the brain, the analytical methods to process, categorize and respond to the huge volumes of data produced by these… (More)

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@article{Song2015SeizureDA, title={Seizure detection and prediction through clustering and temporal analysis of micro electrocorticographic data}, author={Yilin Song and Jonathan Viventi and Yao Wang}, journal={2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)}, year={2015}, pages={1-7} }