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Manas Rakshit

Academic Qualifications


Ph.D (2019): Signal Processing & Communication

Thesis Title:  Development of Some Efficient Schemes for ECG Signal Quality Assessment and Processing 

National Institute Of Technology Rourkela, Odisha, India

 

M.Tech (2015): Electronic Systems & Communication 

Thesis Title: Real-time Electrocardiogram (ECG) signal analysis and Heart Rate Determination in FPGA Platform

 National Institute Of Technology Rourkela, Odisha, India

 

B.Tech (2013): Electronics & Instrumentation Engineering 

University of Kalyani, West Bengal, India

 

Research Statement


  • Medical Signal and Image Processing
  • IoT based Edge-AI System Development
  • Neuromorphic Computing for Energy Efficient Signal Processing

Latest Publications


  • 1 Rakshit, Manas and Maity, Soumen, Multi-level Signal Quality Assessment and Noise type Detection Framework for Quality-Aware Wearable ECG Monitoring Device, IEEE Sensors Journal, 2025
  • 2 Maity, Soumen and Rakshit, Manas, CNN Based Real-Time Embedded System for Multi-Class Cardiac Arrhythmia Detection, 1--5, 2024 IEEE Silchar Subsection Conference (SILCON 2024), 2024
  • 3 Rakshit, Manas and Das, Susmita, Wavelet sub-bands features-based ECG signal quality assessment scheme for computer-aided monitoring system, 69, 2426--2435, IETE Journal of Research, 2023
  • 4 Rakshit, Manas and Das, Susmita, Electrocardiogram beat type dictionary based compressed sensing for telecardiology application, 47, 207--218, Biomedical Signal Processing and Control, 2019
  • 5 Rakshit, Manas and Das, Susmita, Hybrid approach for ECG signal enhancement using dictionary learning-based sparse representation, 13, 381--391, IET Science & Measurement Technology, 2019
  • 6 Rakshit, Manas and Das, Susmita, An efficient ECG denoising methodology using empirical mode decomposition and adaptive switching mean filter, 40, 140--148, Biomedical Signal Processing and Control, 2018
  • 7 Rakshit, Manas and Das, Susmita, An efficient wavelet-based automated R-peaks detection method using Hilbert transform, 37, 566--577, Biocybernetics and Biomedical engineering, 2017
  • 8 Rakshit, Manas and Das, Susmita, An improved EMD based ECG denoising method using adaptive switching mean filter, 251--255, 2017 4th International Conference on Signal Processing and Integrated Networks (SPIN), 2017
  • 9 Pisipati, Abhishek and Rakshit, Manas and Das, Susmita, Efficient EPE based thresholding and adaptive coding for wavelet based ECG compression, 987--991, 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2017
  • 10 Panigrahy, Damodar and Rakshit, M and Sahu, Prasanna Kumar, FPGA implementation of heart rate monitoring system, 40, 49, Journal of Medical Systems, 2016
  • View More

    Research Areas


    • Neuromorphic Computing for Energy Efficient Signal Processing
    • IoT based Edge-AI System Development
    • Medical Signal and Image Processing

    Publications


  • 1 Rakshit, Manas and Maity, Soumen, Multi-level Signal Quality Assessment and Noise type Detection Framework for Quality-Aware Wearable ECG Monitoring Device, IEEE Sensors Journal, 2025
  • 2 Rakshit, Manas and Das, Susmita, Wavelet sub-bands features-based ECG signal quality assessment scheme for computer-aided monitoring system, 69, 2426--2435, IETE Journal of Research, 2023
  • 3 Rakshit, Manas and Das, Susmita, Electrocardiogram beat type dictionary based compressed sensing for telecardiology application, 47, 207--218, Biomedical Signal Processing and Control, 2019
  • 4 Rakshit, Manas and Das, Susmita, Hybrid approach for ECG signal enhancement using dictionary learning-based sparse representation, 13, 381--391, IET Science & Measurement Technology, 2019
  • 5 Rakshit, Manas and Das, Susmita, An efficient ECG denoising methodology using empirical mode decomposition and adaptive switching mean filter, 40, 140--148, Biomedical Signal Processing and Control, 2018
  • 6 Rakshit, Manas and Das, Susmita, An efficient wavelet-based automated R-peaks detection method using Hilbert transform, 37, 566--577, Biocybernetics and Biomedical engineering, 2017
  • 7 Panigrahy, Damodar and Rakshit, M and Sahu, Prasanna Kumar, FPGA implementation of heart rate monitoring system, 40, 49, Journal of Medical Systems, 2016
  • 8 Rakshit, M and Panigrahy, D and Sahu, PK, An improved method for R-peak detection by using Shannon energy envelope, 41, 469--477, Sadhana, 2016
  • 1 Maity, Soumen and Rakshit, Manas, CNN Based Real-Time Embedded System for Multi-Class Cardiac Arrhythmia Detection, 1--5, 2024 IEEE Silchar Subsection Conference (SILCON 2024), 2024
  • 2 Rakshit, Manas and Das, Susmita, An improved EMD based ECG denoising method using adaptive switching mean filter, 251--255, 2017 4th International Conference on Signal Processing and Integrated Networks (SPIN), 2017
  • 3 Pisipati, Abhishek and Rakshit, Manas and Das, Susmita, Efficient EPE based thresholding and adaptive coding for wavelet based ECG compression, 987--991, 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2017
  • 4 Rakshit, M and Panigrahy, D and Sahu, PK, EKF with PSO technique for delineation of P and T wave in electrocardiogram (ECG) signal, 696--701, 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN), 2015
  • 5 Panigrahy, D and Rakshit, M and Sahu, PK, An efficient method for fetal ECG extraction from single channel abdominal ECG, 1083--1088, 2015 international conference on industrial instrumentation and control (ICIC), 2015
  • Patents


    # Patents Year

    Member


    IEI Member
    IEEE Member

    Awards


    • National Merit Scholarship for College Students, Year: 2009
    • Best Poster (Department of Electrical Engineering) in Poster Presentation in Research Scholar Week (RSW 2019) NIT Rourkela, Year: 2019
    • 3rd Position (Institute) in Poster Presentation in Research Scholar Week (RSW 2019) NIT Rourkela, Year: 2019

    Citations


    Google Scholar
    CITATION H-INDEX I-10 INDEX
    472 9 9
    Scopus
    DOCUMENTS CITATION H-INDEX
    13 397 9

    Created: 23 November 2019