Dr. S. Saranya
B.E., M.E., Ph.D.
Assistant Professor
Department of Biomedical Engineering
Dr. Saranya Sivasubramanian is Assistant Professor at the Department of Biomedical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India. Dr. Saranya has over 14 years of experience in academic research and teaching, specializing in biomedical engineering and medical electronics. She earned her Ph.D. in Medical Electronics from Anna University, where her doctoral thesis explored innovative methods for muscle strength evaluation using surface electromyogram signals.
Her research focuses on developing intelligent systems for musculoskeletal assessment and rehabilitation, utilizing advanced techniques biomedical signal processing, computer vision, machine learning and wearable sensor technologies. Dr.Saranya is a recognized supervisor (Ref no. 4190032) from Anna University for guiding PhD and M.S. (by research) under the faculty of Electronics and Communication Engineering.
She is a Senior Member of IEEE and INAE. She is also a member of Engineering in Medicine and Biology Society (EMBS), – Biomedical Engineering Society of India (Life Member) and International Consortium for Rehabilitation Robotics (ICORR)
Research Interests
- Biomechanics and Movement Analysis
- Rehabilitation Engineering
- Biomedical Signal Processing
- Machine Learning and Artificial Intelligence in Healthcare
- Computer Vision for Healthcare Applications
- Assistive Technology and Orthotic Devices
- Musculoskeletal System Assessment
- Wearable Sensor Technologies
Dr. Saranya leads research initiatives in biomechanics and rehabilitation, focusing on movement analysis and sensor-based evaluation. She has successfully secured over 47 lakhs INR in competitive government research grants, including two major projects:
- Personalized visual guidance system for musculoskeletal therapy (SERB-CRG, Govt. of India, ₹27.81 Lakhs)
- Physiologically driven functional knee orthotics (CSIR-Aspire, Govt. of India, ₹20.37 Lakhs)
She is also a part of the core member team of Sajay Centre of Excellence for prosthetics and orthotics granted with 53.3 lakhs for her involvement in developing socially relevant projects
- Saranya S, Poonguzhali S. (2025). "Principal component analysis biplot visualization of electromyogram features for submaximal muscle strength grading." Computers in Biology and Medicine, 182:109142.
- S Pravin Kumar, S Saranya*, Kavitha Anandan, Deepa Sri R. "Computer Vision Guided Shoulder Joint Range of Motion Estimation for Rehabilitative Assessment." Journal of Mechanics in Medicine and Biology, 2025.
- M Dhanalakshmi, S Saranya, Raghupathy Jothibalaji, N V Saravanan. "Silent Speech Recognition using facial EMG, Audio and Video Modalities." Journal of Mechanics in Medicine and Biology, 2025.
- Saranya S, Poonguzhali S. (2023). "A resistive force correlated electromyogram feature selection method for muscle strength prediction." Biomedical Signal Processing and Control, 79(2):104174.
- Saranya S, Poonguzhali S, Karunakaran S. (2020). "Gaussian mixture model-based clustering of Manual muscle testing grades using surface Electromyogram signals." Physical and Engineering Sciences in Medicine, 43(3):837-847.
- Saranya, S., Poonguzhali, S., Madhu Baala N. & Karunakaran, S. 2020. EMG Analysis of Lumbar Muscle Activations During Resisted and Unresisted Core Strength Exercise. International Journal of Biomedical and Clinical Engineering, 9(2):12-24.
- Saranya S, Poonguzhali S. (2025). "Principal component analysis biplot visualization of electromyogram features for submaximal muscle strength grading." Computers in Biology and Medicine, 182:109142.
- S Pravin Kumar, S Saranya*, Kavitha Anandan, Deepa Sri R. "Computer Vision Guided Shoulder Joint Range of Motion Estimation for Rehabilitative Assessment." Journal of Mechanics in Medicine and Biology, 2025.
- M Dhanalakshmi, S Saranya, Raghupathy Jothibalaji, N V Saravanan. "Silent Speech Recognition using facial EMG, Audio and Video Modalities." Journal of Mechanics in Medicine and Biology, 2025.
- Saranya S, Poonguzhali S. (2023). "A resistive force correlated electromyogram feature selection method for muscle strength prediction." Biomedical Signal Processing and Control, 79(2):104174.
- Saranya S, Poonguzhali S, Karunakaran S. (2020). "Gaussian mixture model-based clustering of Manual muscle testing grades using surface Electromyogram signals." Physical and Engineering Sciences in Medicine, 43(3):837-847.
- Saranya, S., Poonguzhali, S., Madhu Baala N. & Karunakaran, S. 2020. EMG Analysis of Lumbar Muscle Activations During Resisted and Unresisted Core Strength Exercise. International Journal of Biomedical and Clinical Engineering, 9(2):12-24.
RGO decorated PVF Dry Electrode for Biosignal Monitoring (2024) - Published by Intellectual Property, Government of India
- "Comparison of Inertial Measurement Unit with Motion Tracking System for Human Shoulder Range of Motion" - Lecture Notes in Networks and Systems (2025), Springer. ISBN: 978-981-96-5754-4
- "Healthcare Revolution and Integration of Artificial Intelligence" - Translating Healthcare Through Intelligent Computational Methods (2023), Springer EAI. ISBN: 9783031276996
- "EMG Features as an Indicator of Muscle Strength for the Assessment of Non-Specific Low Back Pain" - Assistive Technology Intervention in Healthcare (2021), Taylor and Francis Publications. ISBN: 9781032075976