Dr.P.A.Sridhar

Dr. P. A. Sridhar

Assistant Professor (Research)

Email: sridhar.ar@ktr.srmuniv.ac.in
Area: Physiological Signal analysis and modelling, Neuromuscular signal processing and analysis, muscle fatigue, Biomedical instrumentation, Gait Analysis, Multi-spectral analysis
Affiliation: Department of Electronics and Instrumentation Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology (formerly known as SRM University), Kattankulathur

Other Details:

Course

• Communication Engineering

Research Interests

• Physiological Signal Processing
• Muscle activity analysis
• Human movement and gait analysis
• EMG signal modelling
• Multi-spectral analysis
• Biomedical Instrumentation
• Wearable sensors
• Machine Learning

Selected Publications

Books

• D Kumar, Sridhar P Arjunan and B Aliahmad, (2016), Fractals: Applications in Biological Signalling and Image Processing, CRC Press, United States ISBN: 9781498744218
• D Kumar and Sridhar P Arjunan, (2015), Human-computer interface technologies for the motor impaired, CRC Press, United States ISBN: 9781482262667
• T Bastos-Filho, D Kumar, Sridhar P Arjunan (2014), Devices for Mobility and Manipulation for People with Reduced Abilities, CRC Press. ISBN: 9781466586451

Referred Scholarly Book Chapters

• Sridhar P Arjunan and Kumar, D. 2016, 'Fractals and Electromyograms'. In The Fractal Geometry of the Brain, Springer, New York, United States, pp. 445-455 ISBN: 9781493939954
• Sridhar P Arjunan, W.C. Yau, D.K. Kumar (2014). “Evaluating Video and Facial Muscle Activity for a Better Assistive Technology: A Silent Speech Based HCI”. In Computational Models of Complex Systems- Intelligent Systems Reference Library Chapter 7, vol. 53, pp 89-104. VK. Mago & V. Dabbaghian (Eds.), Springer. DOI:10.1007/978-3-319-01285-8_7
• Sridhar P Arjunan, D.K. Kumar, H. Weghorn, and G. Naik, (2012). “Facial Muscle Activity Patterns for Recognition of Utterances in Native and Foreign Language: Testing for its Reliability and Flexibility”. In ‘Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies’, Chapter 12, pp. 212-231. V. Mago, & N. Bhatia (Eds.), IGI Global, DOI:10.4018/978-1-61350-429-1.ch012
• G. Naik, D.K. Kumar and Sridhar P Arjunan, (2012). “ICA as Pattern Recognition Technique for Gesture Identification: A Study Using Bio-Signal”. In ‘Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies’, Chapter 20, pp. 367-387. V. Mago, & N. Bhatia (Eds.), IGI Global. DOI:10.4018/978-1-61350-429-1.ch020
• Sridhar P Arjunan, H Weghorn, D. K. Kumar, G.R.Naik and W. C. Yau (2008). “Recognition of Human Voice Utterances from Facial Surface EMG without Using Audio Signals”. In: ‘The Enterprise Information Systems IX book, Lecture Notes in Business Information Processing (LNBIP 12)’, Chapter 29, pp. 366-378. J. Filipe, J. Cordeiro, & J. Cardoso (Eds.), Springer-Verlag Berlin, Heidelberg, Germany.

Journals

• Maitra Ghosh D, Kumar D, Sridhar P Arjunan, Siddiqi A, Swaminathan R (2017) A computational model to investigate the effect of pennation angle on surface electromyogram of Tibialis Anterior. PLOS ONE Vol 12 No.12, e0189036.
• P Zham, D. K. Kumar, P Dabnichki, Sridhar P Arjunan and S Raghav (2017), ‘Distinguishing Different Stages of Parkinson’s Disease Using Composite Index of Speed and Pen-Pressure of Sketching a Spiral,’, Frontiers in Neurology, doi: 10.3389/fneur.2017.00435
• Sridhar P Arjunan. Kumar, D. and Jayadeva, J. (2016), 'Fractal and twin SVM-based handgrip recognition for healthy subjects and trans-radial amputees using myoelectric signal', in Biomedizinische Technik (Biomedical Engineering), Walter de Gruyter GmbH, Germany, vol. 61, no. 1, pp. 87-94 ISSN: 1862-278X [Impact factor 2015 (IF) =1.65].
• Siddiqi, A. Sridhar P Arjunan. and Kumar, D. (2016), 'Effect of toe extension on EMG of triceps surae muscles during isometric dorsiflexion', in Biomedical Engineering / Biomedizinische Technik, De Gruyter, pp. 1-4 ISSN: 1862-278X [IF =1.65].
• Siddiqi, A. Sridhar P Arjunan. and Kumar, D. (2016), 'Difference in age-related changes in surface electromyogram of tibialis anterior and triceps surae', in Biomedical Physics and Engineering Express, IOP Publishing, United Kingdom, vol. 2, no. 4, pp. 1-8 ISSN: 2057-1976
• Siddiqi, A. Sridhar P Arjunan. and Kumar, D. (2016), 'Age-associated changes in the spectral and statistical parameters of surface electromyogram of tibialis anterior', in BioMed Research International, Hindawi Publishing Corporation, United States, vol. 2016, pp. 1-6 ISSN: 2314-6141 [IF =2.13]
• Unnikrishnan, P. Kumar, D. Sridhar P Arjunan. Kumar, H. Mitchell, P. and Kawasaki, R. (2016), 'Development of health parameter model for risk prediction of CVD using SVM', in Computational and Mathematical Methods in Medicine, Hindawi Publishing Corporation, United States, vol. 2016, no. 2016, pp. 1-7 ISSN: 1748-6718. [IF =0.89]
• M.Castro, Sridhar P Arjunan, and D.K.Kumar (2015), 'Selection of suitable hand gestures for reliable myoelectric human-computer interface', in BioMedical Engineering OnLine, 14(30):1-11, Publisher (Biomed Central) [IF =1.38].
• A. Siddiqi, Sridhar P Arjunan, and D.K.Kumar (2015), 'Improvement of isometric dorsiflexion protocol for assessment of tibialis anterior muscle', in MethodsX, 2:107-111. Publisher (Elsevier)
• Castro, M. Sridhar P Arjunan. and Kumar, D. 2015, 'Selection of suitable hand gestures for reliable myoelectric human-computer interface', in BioMedical Engineering OnLine, BioMed Central, United Kingdom, vol. 14, no. 30, pp. 1-11 ISSN: 1475-925X [IF =1.38].
• Sridhar P Arjunan. Kumar, D. and Naik, G. 2015, 'Independence between two channels of surface electromyogram signal to measure the loss of motor units', in Measurement Science Review, De Gruyter, vol. 15, no. 3, pp. 152-155 ISSN: 1335-8871 [IF =0.97].
• Sridhar P Arjunan. Kumar, D. Wheeler, K. Shimada, H. and Siddiqi, A. 2015, 'Effect of number of motor units and muscle fibre type on surface electromyogram', in Medical and Biological Engineering and Computing, Springer, Germany ISSN: 0140-0118 [IF =1.8].

Working Papers

• Multi-spectral analysis of data to identify various microbes
• Machine learning techniques to identify different grip patterns from Amputee

Work in Progress

• Modelling of surface EMG recorded from TA muscles
• Analysis of Handwriting, speech and gait to investigate the diagnosis of Parkinson’s Disease 

Papers Presented

• Delivered lectures at GIAAN workshop on ‘Biomedical signal acquisition, processing and analysis’ held at IIT Roorkee
• Ongoing presentations and research work with RMIT University, Australia

Achievements and Awards

• Research Paper Award at SRM Research and Science Day, 2018
• Australia-India Early Career research fellowship to work with Indian Institute of Technology (IIT), Delhi, India on developing improved control of assistive technologies.
• Best paper awards in International Conferences - IHCI 2012, E-society, Ireland and ICEIS, France.