Sridhar P Arjunan
Sridhar P Arjunan
Research, EIE, SRM Institute of Science and Technology (University)
Verified email at
Cited by
Cited by
Distinguishing different stages of Parkinson’s disease using composite index of speed and pen-pressure of sketching a spiral
P Zham, DK Kumar, P Dabnichki, S Poosapadi Arjunan, S Raghav
Frontiers in neurology 8, 435, 2017
Evaluation of feature extraction techniques in emotional state recognition
TF Bastos-Filho, A Ferreira, AC Atencio, S Arjunan, D Kumar
2012 4th International conference on intelligent human computer interaction …, 2012
Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors
SP Arjunan, DK Kumar
Journal of neuroengineering and rehabilitation 7, 1-10, 2010
Computation and evaluation of features of surface electromyogram to identify the force of muscle contraction and muscle fatigue
SP Arjunan, DK Kumar, G Naik
BioMed research international 2014 (1), 197960, 2014
Efficacy of guided spiral drawing in the classification of Parkinson's disease
P Zham, SP Arjunan, S Raghav, DK Kumar
IEEE journal of biomedical and health informatics 22 (5), 1648-1652, 2017
Age‐associated changes in muscle activity during isometric contraction
SP Arjunan, DK Kumar
Muscle & Nerve, 2012
An ICA-EBM-based sEMG classifier for recognizing lower limb movements in individuals with and without knee pathology
GR Naik, SE Selvan, SP Arjunan, A Acharyya, DK Kumar, A Ramanujam, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (3 …, 2018
Prosthetic hand control: A multidisciplinary review to identify strengths, shortcomings, and the future
DK Kumar, B Jelfs, X Sui, SP Arjunan
Biomedical Signal Processing and Control 53, 101588, 2019
Selection of suitable hand gestures for reliable myoelectric human computer interface
MCF Castro, SP Arjunan, DK Kumar
Biomedical engineering online 14, 1-11, 2015
Development of health parameter model for risk prediction of CVD using SVM
P Unnikrishnan, DK Kumar, S Poosapadi Arjunan, H Kumar, P Mitchell, ...
Computational and mathematical methods in medicine 2016 (1), 3016245, 2016
Fractal based modelling and analysis of electromyography (EMG) to identify subtle actions
SP Arjunan, DK Kumar
2007 29th Annual International Conference of the IEEE Engineering in …, 2007
ICA as Pattern Recognition Technique for Gesture Identification: A Study Using Bio-Signal
GR Naik, D Kumar, S Arjunan
Cross-Disciplinary Applications of Artificial Intelligence and Pattern …, 2012
Applications of ICA and fractal dimension in sEMG signal processing for subtle movement analysis: a review
GR Naik, S Arjunan, D Kumar
Australasian physical & engineering sciences in medicine 34, 179-193, 2011
A machine learning based method for classification of fractal features of forearm sEMG using twin support vector machines
SP Arjunan, DK Kumar, GR Naik
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
Visual speech recognition using image moments and multiresolution wavelet images
WC Yau, DK Kumar, SP Arjunan, S Kumar
International Conference on Computer Graphics, Imaging and Visualisation …, 2006
Measuring increase in synchronization to identify muscle endurance limit
DK Kumar, SP Arjunan, GR Naik
IEEE transactions on neural systems and rehabilitation engineering 19 (5 …, 2011
Fractals: applications in biological signalling and image processing
D Kumar, SP Arjunan, B Aliahmad
CRC Press, 2017
Towards identification of finger flexions using single channel surface electromyography–able bodied and amputee subjects
DK Kumar, S Poosapadi Arjunan, VP Singh
Journal of neuroengineering and rehabilitation 10, 1-7, 2013
Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques
G Naik, D Kumar, S Arjunan
Measurement Science Review 10 (1), 1-6, 2010
Voiceless speech recognition using dynamic visual speech features
WC Yau, DK Kumar, SP Arjunan
Proceedings of the HCSNet workshop on Use of vision in human-computer …, 2006
The system can't perform the operation now. Try again later.
Articles 1–20