P
Piyush Swami
Researcher at Indian Institute of Technology Delhi
Publications - 28
Citations - 287
Piyush Swami is an academic researcher from Indian Institute of Technology Delhi. The author has contributed to research in topics: Ictal & Wavelet packet decomposition. The author has an hindex of 5, co-authored 28 publications receiving 216 citations. Previous affiliations of Piyush Swami include All India Institute of Medical Sciences & National Institute of Technology, Rourkela.
Papers
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Journal ArticleDOI
A novel robust diagnostic model to detect seizures in electroencephalography
TL;DR: The present study is focused on the development of a robust automated system for classification against low levels of supervised training and yields ceiling level classification performance in all combinations of datasets in less than 0.028s.
Journal ArticleDOI
Emergence of categorical face perception after extended early-onset blindness.
TL;DR: This paper showed that newly sighted individuals are unable to distinguish between faces and nonfaces immediately after sight onset, but improve markedly in the following months, demonstrating preserved plasticity for acquiring face/nonface categorization ability even late in life.
Journal ArticleDOI
A comparative account of modelling seizure detection system using wavelet techniques
Piyush Swami,Tapan K. Gandhi,Bijaya Ketan Panigrahi,Manvir Bhatia,Jayasree Santhosh,Sneh Anand +5 more
TL;DR: Comparisons are made between DWT, wavelet packet transform and dual-tree complex wavelet transform (DT-CWT) for detection of epileptiform patterns in electroencephalography and unique methodology of using minimal training during K-folds cross-validation to highlight the robustness of the expert model is described.
Proceedings Article
Detection of epileptic seizure patterns in EEG through fragmented feature extraction
TL;DR: A novel method for analyzing EEG signals using its sections to extract features using the least-squares support vector machine classifier with non-linear kernel is proposed.
Proceedings ArticleDOI
Robust expert system design for automated detection of epileptic seizures using SVM classifier
Piyush Swami,Anoop Kant Godiyal,Jayasree Santhosh,Bijaya Ketan Panigrahi,Manvir Bhatia,Sneh Anand +5 more
TL;DR: Robust expert system design for classification of epileptic seizures automatically with an improvement over the existing systems is presented and holds promising grounds for automated clinical diagnosis in real time.