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
  Nabanita Sinha, Arpita Das
  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
  Nabanita Sinha, Arpita Das
  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
  Nabanita Sinha, Arpita Das
  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
  Nabanita Sinha, Arpita Das
  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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