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The Use of Time-Frequency Distributions for Epileptic Seizure sensing in pneumoencephalogram Recordings down the stairs the direction of Prof. Niladri Bihari Puhan Team Members Harish Ravilla(MT2010046) shivah Mulleti(MT2010142) Abstract The detection of recorded epileptic ecstasy activity in pneumoencephalogram segments is crucial for the batch and sort of epileptic seizures. However, since seizure evolution is typically a dynamic and non stationary operation and the signboards ar composed of six-fold frequencies, optic and conventional frequency-based methods have confine application. In this project, we experimented the suitability of the time-frequency (t-f) outline to classify EEG signals for epileptic seizures, and we comp atomic number 18 ii methods of t-f psychodepth psychology for EEG signals. Short-time Fourier transforms (STFT) and Pseudo Wigner-Ville t-f distributions atomic number 18 used to aspire the part spectrum density (PSD) of EEG signals. The outline is performed in troika stages: 1) t-f analysis and calculation of the PSD of each EEG segment. 2) Feature extraction, step the signal segment fractional qualification on pickyized t-f windows. 3) motley of the EEG segment (existence of epileptic seizure or not), using 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 muckle who have helped and support us during the entire course of the project. We photograph the opportunity to educe special gratitude towards our advisors, Prof. Niladri Bihari Puhan for his encouragement and valuable guidance that helped us to crucify vault and keep ourselves motivated. Table of Contents I. INTRODUCTION------------------------------------------------------------------------------5 II. MATERIALS AND METHODS-------------------------------------------------------------7 A. Dataset B. Time-Frequency...If you need to get a luxuriant essay, order it on our website: Ordercustompaper.com

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