Low-complexity power spectral density estimation

Abstract

This paper presents a method of feature extraction to detect seizure in epileptic patients. Epileptic seizures are characterized by high amplitude and synchronized electrocephalogram (EEG) waveforms. Power spectral density (PSD) of the EEG signal plays an important role in diagnosis of epilepsy. Many automated diagnostic systems for epileptic seizure detection have emerged in recent years. This paper proposes a method of extracting PSD of EEG sub-bands using lowcomplex PSD estimation method which would reduce the automatic diagnostic system complexity and also enhances the speed. Low-complexity PSD estimation method was implemented in digital signal processor (TMS320C6713), and the result was very much similar to traditional Welch PSD estimation method with 30% reduction in computation time.