Debanjan Parbat | Jadavpur University, Kolkata, India (original) (raw)

Debanjan Parbat

Engineer, Researcher, Nature Lover, Humanist, Amateur AstronomerMoto: To Imagine...To Create...To LearnAcademeic Qualification : B.Tech, M.E and Ph.D pursuingArea of Work: Biomedical Circuits and Systems.Computational Science and Data Analytics. Fractals, Chaos And Entropy. Biosignal Processing and Analysis.

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Papers by Debanjan Parbat

Research paper thumbnail of Fractal Dimension and lacunarity based microscopic image texture characterization of coated and non-coated metallic substrates

Advances in Materials and Processing Technologies, 2021

Research paper thumbnail of Computational Science Symposium 2017 : Multi-Scale Entropy Analysis of surface Electromyography signals during biceps muscle contraction under varying loads

Research paper thumbnail of 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

Objective: The purpose of this paper is to illustrate the findings of non-linear dynamic analysis... more Objective: The purpose of this paper is to illustrate the findings of non-linear dynamic analysis techniques in characterization of the Electromyography Signal during biceps muscle contraction under varying loading conditions. The variation of Chaos, Fractals and Entropy of the EMG signal is represented for biceps muscle contraction under varying load to reveal the underlying system dynamics. Methods: The EMG signal is acquired through a developed EMG signal acquisition circuitry to obtain the time series for offline data analysis. We have used the tools of Non-Linear dynamics to calculate Fractal dimension, Chaos and Entropy. We have implemented some specific algorithms to obtain the optimum parameters required for successful estimation of Chaos, Fractal Dimension and Entropy of surface EMG signal during dynamic muscle contraction. Results: The presence of deterministic chaos was clearly evident in case of arm flexion with different loads. The complexity of the signal, as evident from the fractal dimension calculation, revealed enough information about the complexity associated during arm flexion condition. Further application of the Entropy estimate helped us to estimate the change in uncertainty or rate of information transfer with increased loading of muscles. Significance: Since the non-linear dynamics technique proves to be an efficient tool to address the changing dynamics associated with muscle contraction, it can help in quantitative assessment of muscular activity. Therefore we propose here a technique of biomedical signal processing and analysis to be effectively applied in EMG signal analysis and interpretation.

Research paper thumbnail of A python based support vector regression model for prediction of COVID19 cases in India

Chaos, Solitons & Fractals, 2020

Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on ... more Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre-including this research content-immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

Research paper thumbnail of 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)

This paper discusses about the EMG-Force relationship during voluntary contraction of arm muscles... more This paper discusses about the EMG-Force relationship during voluntary contraction of arm muscles. In this study the contribution of the Flexor Digitorum Profundus and Biceps Brachii towards hand grip strength is studied simultaneously. The response of eight subjects is recorded and Vrms along with Vpp is calculated and an attempt has been made in drawing relationship with percentage maximal voluntary contraction. The inter-connection between the EMG signal and muscle tension on application of force is clearly established in a quantitative way through this work. The limit of endurance or fatigue point can be determined using this model after proper validation and better accuracy.

Research paper thumbnail of A Novel Methodology to study the Cognitive Load Induced EEG Complexity Changes: Chaos, Fractal and Entropy based approach

Biomedical Signal Processing and Control

Research paper thumbnail of Comparative study of MFDFA technique for isometric and isotonic muscle contraction

2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016

Research paper thumbnail of Fractal analysis of sEMG signal under varying load conditions

2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC), 2016

Research paper thumbnail of Biomedical Applications of 3-D Printing

This paper discusses the current and future prospects of 3-D printing technology in the field of ... more This paper discusses the current and future prospects of 3-D printing technology in the field of medical science encompassing biomedical engineering for improved human health care. It presents before the reader, an overview on the evolution of the 3D printing technology and its increased usage in the field of biomedical engineering and pharmaceutics. It is expected that it is going to change the future of manufacturing industries and technology.

Research paper thumbnail of Fractal Dimension and lacunarity based microscopic image texture characterization of coated and non-coated metallic substrates

Advances in Materials and Processing Technologies, 2021

Research paper thumbnail of Computational Science Symposium 2017 : Multi-Scale Entropy Analysis of surface Electromyography signals during biceps muscle contraction under varying loads

Research paper thumbnail of 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

Objective: The purpose of this paper is to illustrate the findings of non-linear dynamic analysis... more Objective: The purpose of this paper is to illustrate the findings of non-linear dynamic analysis techniques in characterization of the Electromyography Signal during biceps muscle contraction under varying loading conditions. The variation of Chaos, Fractals and Entropy of the EMG signal is represented for biceps muscle contraction under varying load to reveal the underlying system dynamics. Methods: The EMG signal is acquired through a developed EMG signal acquisition circuitry to obtain the time series for offline data analysis. We have used the tools of Non-Linear dynamics to calculate Fractal dimension, Chaos and Entropy. We have implemented some specific algorithms to obtain the optimum parameters required for successful estimation of Chaos, Fractal Dimension and Entropy of surface EMG signal during dynamic muscle contraction. Results: The presence of deterministic chaos was clearly evident in case of arm flexion with different loads. The complexity of the signal, as evident from the fractal dimension calculation, revealed enough information about the complexity associated during arm flexion condition. Further application of the Entropy estimate helped us to estimate the change in uncertainty or rate of information transfer with increased loading of muscles. Significance: Since the non-linear dynamics technique proves to be an efficient tool to address the changing dynamics associated with muscle contraction, it can help in quantitative assessment of muscular activity. Therefore we propose here a technique of biomedical signal processing and analysis to be effectively applied in EMG signal analysis and interpretation.

Research paper thumbnail of A python based support vector regression model for prediction of COVID19 cases in India

Chaos, Solitons & Fractals, 2020

Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on ... more Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre-including this research content-immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

Research paper thumbnail of 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)

This paper discusses about the EMG-Force relationship during voluntary contraction of arm muscles... more This paper discusses about the EMG-Force relationship during voluntary contraction of arm muscles. In this study the contribution of the Flexor Digitorum Profundus and Biceps Brachii towards hand grip strength is studied simultaneously. The response of eight subjects is recorded and Vrms along with Vpp is calculated and an attempt has been made in drawing relationship with percentage maximal voluntary contraction. The inter-connection between the EMG signal and muscle tension on application of force is clearly established in a quantitative way through this work. The limit of endurance or fatigue point can be determined using this model after proper validation and better accuracy.

Research paper thumbnail of A Novel Methodology to study the Cognitive Load Induced EEG Complexity Changes: Chaos, Fractal and Entropy based approach

Biomedical Signal Processing and Control

Research paper thumbnail of Comparative study of MFDFA technique for isometric and isotonic muscle contraction

2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016

Research paper thumbnail of Fractal analysis of sEMG signal under varying load conditions

2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC), 2016

Research paper thumbnail of Biomedical Applications of 3-D Printing

This paper discusses the current and future prospects of 3-D printing technology in the field of ... more This paper discusses the current and future prospects of 3-D printing technology in the field of medical science encompassing biomedical engineering for improved human health care. It presents before the reader, an overview on the evolution of the 3D printing technology and its increased usage in the field of biomedical engineering and pharmaceutics. It is expected that it is going to change the future of manufacturing industries and technology.

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