Debanjan Parbat

About

I am an Electrical Engineering graduate with Masters in Biomedical Engineering. I am currently pursuing my PhD as a Senior Research Fellow in Biomedical Instrumentation Lab of School of Bioscience & Engineering, Jadavpur University, Kolkata, India. My areas of research includes Biomedical Signal Processing & Analysis, Nonlinear Discrete Dynamical Systems, Fractals and Chaos, Artificial Intelligence and Machine Learning, Medical Electronics and Instrumentation.

Employment

• Topia MedTech Pvt. Ltd General Manager
  2021 - Present
• Jadavpur University Senior Research Fellow
  2016 - Present

Education

• Jadavpur University Master of Engineering in Biomedical Engineering
  2014 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• A Joint Eeg-Emg Study to Measure the Corticomuscular Interrelationship Using Multifractal Correlation and Information Theory Approach During Weight Lifting Exercise
  Ssrn 2024 DOI: 10.2139/ssrn.4888497
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• Multiscale entropy analysis of single lead ECG and ECG derived respiration for AI based prediction of sleep apnea events
  Biomedical Signal Processing and Control 2024 DOI: 10.1016/j.bspc.2023.105444
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• A Deep Learning Paradigm for Computer Aided Diagnosis of Emphysema from Lung HRCT Images
  Smart Innovation Systems and Technologies 2022 DOI: 10.1007/978-981-19-2719-5_18
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• Fractal Dimension and lacunarity based microscopic image texture characterization of coated and non-coated metallic substrates
  Advances in Materials and Processing Technologies 2022 DOI: 10.1080/2374068X.2021.1903724
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• A Novel Methodology to study the Cognitive Load Induced EEG Complexity Changes: Chaos, Fractal and Entropy based approach
  Biomedical Signal Processing and Control 2021 DOI: 10.1016/j.bspc.2020.102277
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• A python based support vector regression model for prediction of COVID19 cases in India
  Chaos Solitons and Fractals 2020 DOI: 10.1016/j.chaos.2020.109942
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• Establishment of EMG-Force relationship obtained during Simultaneous Voluntary Contraction of Biceps and Flexor Digitorum Profundus Muscles
  2019 IEEE 5th International Conference for Convergence in Technology I2ct 2019 2019 DOI: 10.1109/I2CT45611.2019.9033641
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• Fractals, chaos and entropy analysis to obtain parametric features of surface electromyography signals during dynamic contraction of biceps muscles under varying load
  2017 2nd International Conference for Convergence in Technology I2ct 2017 2017 DOI: 10.1109/I2CT.2017.8226125
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• Fractal analysis of sEMG signal under Varying Load Conditions
  2016
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• Comparative study of MFDFA technique for isometric and isotonic muscle contraction
  2016
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