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The Use of Time-Frequency Distributions for Epileptic Seizure Detection in pneumoencephalogram Recordings below the guidance of Prof. Niladri Bihari Puhan Team Members Harish Ravilla(MT2010046) Siva Mulleti(MT2010142) Abstract The spying of recorded epileptic rapture activity in electroencephalogram segments is crucial for the hole and classification of epileptic seizures. However, since seizure evolution is typically a dynamic and non stationary process and the signals ar composed of six-fold frequencies, visual and conventional frequency-based methods eat up limited application. In this project, we experimented the suitability of the time-frequency (t-f) analysis to classify EEG signals for epileptic seizures, and we equal ii methods of t-f analysis for EEG signals. Short-time Fourier transforms (STFT) and Pseudo Wigner-Ville t-f distributions are employ to aspire the power spectrum density (PSD) of EEG signals. The analysis is performed in troika st ages: 1) t-f analysis and calculation of the PSD of each EEG segment. 2) make extraction, step the signal segment fractional energy on specialized t-f windows. 3) Classification of the EEG segment (existence of epileptic seizure or not), use artificial neural networks.

The methods are evaluated using peerless classification problems obtained from a benchmark EEG dataset, and qualitative and numeric results are presented. Acknowledgements: We thank all the people who have helped and support us during the entire course of the project. We take the chance to educe special gratitude towards our advisor s, Prof. Niladri Bihari Puhan for his encour! agement and valuable guidance that helped us to crucify hurdles and keep ourselves motivated. Table of Contents I. INTRODUCTION------------------------------------------------------------------------------5 II. MATERIALS AND METHODS-------------------------------------------------------------7 A. Dataset B. Time-Frequency...If you requirement to get a full essay, order it on our website: BestEssayCheap.com

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