Nabanita Sinha

About

Nabanita Sinha received the B.E degree in Electronics & Communication Engineering from the University of Burdwan in 2007 and the M. Tech degree in Optics & optoelectronics from the University of Calcutta in 2009. She is currently a Senior Research Assistant in the department of Radiophysics and Electronics, University of Calcutta. She is currently pursuing her Ph.D. degree. She has teaching experience of almost 9 years. Her current research interests include biomedical signal processing,machine learning, pattern recognition.

Employment

• University of Calcutta Senior Research Associate
  2019 - Present
• Durgapur Institute of Advanced Technology and Management Assistant Professor
  2014 - 2019
• Silicon Institute of Technology Assistant Professor
  2011 - 2012
• Dr.B.C.Roy Engineering College Assistant Professor
  2009 - 2011

Education

• University of Calcutta - Rajabazar Science College Campus M.Tech
  2007 - 2009
• University Institute of Technology B.E
  2003 - 2007

Projects & Funding

Projects & funding information is unavailable.

Publications (5)

• Detection of Obstructive Sleep Apnea Using Non-Negative Matrix Factorization-Based Feature Extraction Approach in Eigen Spectrum Domain
  IEEE Transactions on Instrumentation and Measurement 2022 DOI: 10.1109/TIM.2022.3151167
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• Analysis of ECG Signal based on Feature Fusion and Two-Fold Classification
  IEEE International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 2021 DOI: 10.1109/ICAECT49130.2021.9392515
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• Identification and Localization of Myocardial Infarction Based on Analysis of ECG Signal in Cross Spectral Domain Using Boosted SVM Classifier
  IEEE Transactions on Instrumentation and Measurement 2021 DOI: 10.1109/TIM.2021.3117663
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• Discrimination of Life-threatening Arrhythmias using Singular Value, Harmonic Phase Distribution and Dynamic Time Warping of ECG Signals
  IEEE Transactions on Instrumentation & Measurement 2020 DOI: 10.1109/TIM.2020.3045190
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• Automatic diagnosis of cardiac arrhythmias based on three stage feature fusion and classification model using DWT
  Biomedical Signal Processing and Control 2020 DOI: https://doi.org/10.1016/j.bspc.2020.102066
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