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Dr. Divya Sasidharan

Assistant Professor (Sr. Gd.), School of Artificial Intelligence, Coimbatore

Qualification: B. Tech., M. E., Ph. D.
s_divya1@cb.amrita.edu
ORCID ID
Google Scholar Profile
Scopus Author ID
Research Interest: Biomedical Signal and Image Processing, Biomedical Instrumentation, Non-Linear Time Series Analysis, Complex Networks, Brain Computer Interfaces, AI in Healthcare.

Bio Publications Qualifications Positions Teaching Awards/ Recognition Reviewers
Bio

Dr. Divya Sasidharan is currently working as Assistant Professor (Sr. Gd.) in the Amrita School of Artificial Intelligence, Coimbatore, Amrita Vishwa Vidyapeetham, India. Dr. Divya completed her B.Tech in Instrumentation and Control Engineering from N.S.S. College of Engineering Palakkad, Kerala in 2010.Subseqently, she earned her M.E in Applied Electronics from Anna University Chennai in 2013. She earned her Ph.D. in Biomedical signal processing from N.S.S. College of Engineering under APJ Abdul Kalam Technological University Kerala with KTU CERD fellowship in 2023. Dr. Divya was also an integral part of the biomedical research team at N.S.S. College of Engineering Palakkad in achieving a granted Indian patent titled “System and method for identifying type II dominance in Rectus Femoris muscle of aspiring athletes” which was carried out in collaboration with IIT Madras. She was a Post Doctoral Fellow at Amrita School of Artificial Intelligence, Coimbatore, Amrita Vishwa Vidyapeetham, India during 2024-25. Her scholarly contributions are noteworthy, with several peer-reviewed publications, including book chapters and articles in esteemed international journals and conferences. She has extensive teaching experience with an expertise in acquisition of real-time signals and its analysis.

Publications

Journal Article

Year : 2025

Significance of gender, brain region and EEG band complexity analysis for Parkinson’s disease classification using recurrence plots and machine learning algorithms

Cite this Research Publication : Divya Sasidharan, V. Sowmya, E. A. Gopalakrishnan, Significance of gender, brain region and EEG band complexity analysis for Parkinson’s disease classification using recurrence plots and machine learning algorithms, Physical and Engineering Sciences in Medicine, Springer Science and Business Media LLC, 2025, https://doi.org/10.1007/s13246-025-01521-5

Publisher : Springer Science and Business Media LLC

Year : 2024

Analysis of induced dynamic biceps EMG signal complexity using Markov transition networks

Cite this Research Publication : G. Venugopal, Divya Sasidharan, Ramakrishnan Swaminathan, Analysis of induced dynamic biceps EMG signal complexity using Markov transition networks, Biomedical Engineering Letters, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s13534-024-00372-5

Publisher : Springer Science and Business Media LLC

Year : 2023

Surface Electromyography Based Assessment of Muscle Fatigue Using Time Series Images and Gray Level Co-occurence Matrix Features

Cite this Research Publication : Divya Sasidharan, Venugopal G and Ramakrishnan S, “Surface Electromyography Based Assessment of Muscle Fatigue Using Time Series Images and Gray Level Co-occurence Matrix Features”, Biomedical Sciences Instrumentation, Vol 59 (1) April 2023.

Publisher : Biomedical Sciences Instrumentation

Year : 2023

A Proposal to Analyze Muscle Dynamics Under Fatiguing Contractions Using Surface Electromyography Signals and Fuzzy Recurrence Network Features

Cite this Research Publication : Divya Sasidharan, Venugopal Gopinath, Ramakrishnan Swaminathan, A Proposal to Analyze Muscle Dynamics Under Fatiguing Contractions Using Surface Electromyography Signals and Fuzzy Recurrence Network Features, Fluctuation and Noise Letters, World Scientific Pub Co Pte Ltd, 2023, https://doi.org/10.1142/s0219477523500335

Publisher : World Scientific Pub Co Pte Ltd

Year : 2023

Complexity Analysis of Surface Electromyography Signals Under Fatigue Using Hjorth Parameters and Bubble Entropy

Cite this Research Publication : Divya Sasidharan, Venugopal G., Ramakrishnan Swaminathan, "Complexity Analysis of Surface Electromyography Signals Under Fatigue Using Hjorth Parameters and Bubble Entropy", Journal of Mechanics in Medicine and Biology, World Scientific Pub Co Pte Ltd, 2023, https://doi.org/10.1142/s0219519423400511

Publisher : World Scientific Pub Co Pte Ltd

Book Chapter

Year : 2024

Chaotic Complexity Determination of Surface EMG Signals

Cite this Research Publication : Sasidharan, D., Kavyamol, K., Subramanian, S., Venugopal, G. (2024). "Chaotic Complexity Determination of Surface EMG Signals," In: Kumar, D., Sahoo, V., Mandal, A.K., Shukla, K.K. (eds) Advances in Applied Mechanics. INCAM 2022. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-97-0472-9_43.

Publisher : Springer Nature Singapore

Year : 2021

Analysis of Motorcycle Rider’s Posture Using sEMG Signals

Cite this Research Publication : Aiswarya Varghese, K. B. Akshaya, S. Akshay Prakash, S. Sreehari, Divya Sasidharan, G. Venugopal, Analysis of Motorcycle Rider’s Posture Using sEMG Signals, Lecture Notes in Electrical Engineering, Springer Singapore, 2021, https://doi.org/10.1007/978-981-16-0336-5_39

Publisher : Springer Singapore

Conference Paper

Year : 2023

Surface Electromyography Based Muscle Fiber Type Analysis Using Fractal Dimensions

Cite this Research Publication : Prasad R Menon, Divya Sasidharan, Venugopal G, “Surface Electromyography Based Muscle Fiber Type Analysis Using Fractal Dimensions” First International Conference on “Intelligent Solutions for Emergency Support and Disaster Management, ISERDM, 9-11 January 2023, NIT Trichy, India

Year : 2023

Non-invasive Analysis of Fiber Type Composition in Lower Limb Skeletal Muscles Using Reduced Interference Rihaczek Distribution

Cite this Research Publication : Remya R Nair, Divya Sasidharan, Venugopal G, Non-invasive Analysis of Fiber Type Composition in Lower Limb Skeletal Muscles Using Reduced Interference Rihaczek Distribution, 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), IEEE, 2023, https://doi.org/10.1109/embc40787.2023.10340311

Publisher : IEEE

Year : 2022

Analysis of Surface Electromyography Signals Under Fatiguing Conditions Using Fuzzy Recurrence Plot and GLCM Features

Cite this Research Publication : Divya Sasidharan, Venugopal G, (2022). “Analysis of Surface Electromyography Signals Under Fatiguing Conditions Using Fuzzy Recurrence Plot and GLCM Features”. 22nd International Conference on Mechanics in Medicine and Biology (ICMMB), 19-21 September 2022 Bologna, Italy

Publisher : 22nd International Conference on Mechanics in Medicine and Biology (ICMMB)

Year : 2022

Muscle Fatigue Analysis by Visualization of Dynamic Surface EMG Signals Using Markov Transition Field

Cite this Research Publication : D. Sasidharan, V. G and S. Ramakrishnan, "Muscle Fatigue Analysis by Visualization of Dynamic Surface EMG Signals Using Markov Transition Field," 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, pp. 3611-3614, doi: 10.1109/EMBC48229.2022.9871981, 11-15 July 2022, Glasgow, Scotland, United Kingdom.

Publisher : IEEE

Year : 2020

Analysis of Surface EMG Signals under Fatigue Conditions using Sum of Sines Models

Cite this Research Publication : Divya Sasidharan, G Venugopal, Analysis of Surface EMG Signals under Fatigue Conditions using Sum of Sines Models, 2020 International Conference on Communication and Signal Processing (ICCSP), IEEE, 2020, https://doi.org/10.1109/iccsp48568.2020.9182049

Publisher : IEEE

Qualifications

Post-Doctoral Scholar

  • January 2024 – April 2025
  • Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, India

PhD

  • Year: 2018 – 2023
  • Specialization: Biomedical Signal Processing
  • Thesis Title: Non-linear dynamical analysis of human skeletal muscles using surface electromyography signals

M.Tech

  • Year: 2013
  • Specialization: Applied Electronics
  • Thesis Title: Real Time Foreground Object Detection on Embedded SoC Platforms
Positions

Current Positions

  • Assistant Professor (Sr.Gd.), 2025

Past Positions

  1. Post Doctoral Fellow, 2024-2025 at Amrita School of Artificial Intelligence, Coimbatore, Amrita Vishwa Vidyapeetham India.
  2. Assistant Professor (Adhoc), 2023- 2024 at N.S.S. College of Engineering, Palakkad, Kerala.
  3. Research Scholar (Full Time), 2018-2023 at N.S.S. College of Engineering, Palakkad, Kerala.
  4. Assistant Professor,2016-2018 at Royal College of Engineering and Technology, Thrissur, Kerala
  5. Assistant Professor,2015- 2016 at Karpagam College of Engineering, Coimbatore, Tamil Nadu
  6. Guest Lecturer, 2012-2014 at N.S.S. College of Engineering, Palakkad, Kerala
Teaching

Courses Taught (Name, Year, UG/PG)

  • Machine Learning (2024-2025, UG)

GIAN/Workshops/Short-term Training Programs Attended

  1. “Recent Trends in Bio signal Acquisition and Research Perspectives in Signal Analysis”, SERB Sponsored Online Faculty Development Programme (FDP) on 25-26 March 2022 at S.S. College of Engineering, Palakkad, Kerala.
  2. “Recent Trends in Medical Cybernetics [RTMC]”, 5-days online FDP on 22 – 26 February 2021by Department of Electrical Engineering, National Institute of Technology Calicut.
  3. “Research Perspectives of Machine Learning and Deep Learning for Signal Processing Applications”,5-days KTU sponsored online faculty development programme (FDP) on 6- 10 September 2021 by ECE Dept. of SCT College of Engineering, Trivandrum.
  4. “Recent trends in Biomedical Instrumentation and Assistive Technology”,3-days virtual international workshop on 29th July – 02 August 2021 by Department of Instrumentation and Control, National Institute of Technology Trichy.
  5. “Pervasive Industrial Competence”,5-Days Online faculty development programme (FDP) on 26 -28 May 2020 by N.S.S. College of Engineering Palakkad
Awards/ Recognition
  1. Holds a University IV Rank Holder in B.Tech in Instrumentation and Control, University of Calicut, Kerala; 2010.
  2. Recipient of CERD PhD fellowship of APJ Abdul Kalam Technological University, Kerala India;2019.
Reviewers

International Journals

  • Scientific Reports
  • Discover Applied Sciences
  • Journal of Neuro Engineering and Rehabilitation
  • Journal of Mechanics in Medicine and Biology
  • Evolving Systems
  • Review of Scientific Instruments

International Conferences

  • The Third International Workshop on Automation, Control and Communication Engineering (IWACCE2024)
  • International Conference on Emerging Technologies for Intelligent Systems (ETIS 2025)
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