Early Detection of Epileptic Activity on EEG Signals using Phase-Preserving Quantization Method

This paper demonstrates the use of a data decimation method, called phase-preserving quantization (PPQ), for early seizure prediction. PPQ consists of a) amplifying and filtering the neural signals around the frequency band of interest, and b) compressing the filtered signal using a 1-bit quantizer with a 0-V single-threshold decision. The ability of PPQ to retain phase information and predict seizure events while compressing the signal resolution to a single bit is demonstrated using electroencephalography (EEG) recordings from the Children's Hospital Boston-MIT (CHB-MIT) EEG database. Results show 97% accuracy when calculating synchrony values using PPQ, which is an improvement of 7% when compared to previously published results. The presented improved method enables the early detection of seizure events, resulting in a decrease in phase synchrony computation time while allowing an increase in the number of recording channels that can be screened when using EEG.