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Author

Sridhar P. Arjunan

Observed names: P. A. Sridhar, Poosapadi Arjunan, Sridhar, Poosapadi Arjunan, Sridhar, S P Arjunan, S. Arjunan, S. P. Arjunan, S. Poosapadi Arjunan, S.P. Arjunan, SRIDHAR P. ARJUNAN, SRIDHAR POOSAPADI ARJUNAN, Sridhar Arjunan, Sridhar P Arjunan, Sridhar P.Arjunan, Sridhar PA, Sridhar Poosapadi Arjunan (19979874), Sridhar Poosapadi Arjunan, Sridhar Poosapadi Arjunan (19975539), Sridhar. P. Arjunan
Observed institutions: SRM Institute of Science and Technology, The University of Melbourne, SRM University, National Institute of Technology, Oita College, University of Cooperative Education, RMIT University
ORCID: 0000-0002-7288-0380
Observed ORCID: 0000-0002-7288-0380
OpenAlex ID: A5025850899
Distinguishing Different Stages of Parkinson’s Disease Using Composite Index of Speed and Pen-Pressure of Sketching a Spiral
2017 · Poonam Zham, Dinesh K. Kumar, et al. · Frontiers in Neurology · 172
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Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors
2010 · Sridhar Arjunan, Dinesh Kumar · Journal of NeuroEngineering and Rehabilitation · 100
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Efficacy of Guided Spiral Drawing in the Classification of Parkinson's Disease
2017 · Poonam Zham, Sridhar P. Arjunan, et al. · IEEE Journal of Biomedical and Health Informatics · 96
Evaluation of feature extraction techniques in emotional state recognition
2012 · Teodiano Freire Bastos-Filho, Andre Ferreira, et al. · Intelligent Human Computer Interaction · 95
An ICA-EBM-Based sEMG Classifier for Recognizing Lower Limb Movements in Individuals With and Without Knee Pathology
2018 · Ganesh R. Naik, S. Easter Selvan, et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 87
Prosthetic hand control: A multidisciplinary review to identify strengths, shortcomings, and the future
2019 · Dinesh K. Kumar, Beth Jelfs, et al. · Biomedical Signal Processing and Control · 85
Complexity Measures of Voice Recordings as a Discriminative Tool for Parkinson’s Disease
2019 · Rekha Viswanathan, Sridhar P. Arjunan, et al. · Biosensors · 75
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Locomo-Net: A Low -Complex Deep Learning Framework for sEMG-Based Hand Movement Recognition for Prosthetic Control
2020 · Arvind Gautam, Madhuri Panwar, et al. · IEEE Journal of Translational Engineering in Health and Medicine · 66
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Development of Health Parameter Model for Risk Prediction of CVD Using SVM
2016 · P. Unnikrishnan, D. K. Kumar, et al. · Computational and Mathematical Methods in Medicine · 65
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Computation and Evaluation of Features of Surface Electromyogram to Identify the Force of Muscle Contraction and Muscle Fatigue
2014 · Sridhar P. Arjunan, Dinesh K. Kumar, et al. · BioMed Research International · 56
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Is Thermal Imaging a Useful Predictor of the Healing Status of Diabetes-Related Foot Ulcers? A Pilot Study
2018 · Behzad Aliahmad, Aye Nyein Tint, et al. · Journal of Diabetes Science and Technology · 45
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Selection of suitable hand gestures for reliable myoelectric human computer interface
2015 · Maria Claudia F Castro, Sridhar P Arjunan, et al. · BioMedical Engineering OnLine · 45
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Fractal Based Modelling and Analysis of Electromyography (EMG) To Identify Subtle Actions
2007 · Sridhar P Arjunan, Dinesh K Kumar · Conference proceedings · 39
Wearable sensors during drawing tasks to measure the severity of essential tremor
2022 · Sheik Mohammed Ali, Sridhar Poosapadi Arjunan, et al. · Scientific Reports · 38
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Measuring Increase in Synchronization to Identify Muscle Endurance Limit
2011 · Dinesh K. Kumar, Sridhar P. Arjunan, et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 36
Muscle activation strategies of people with early-stage Parkinson’s during walking
2021 · Sana M. Keloth, Sridhar P. Arjunan, et al. · Journal of NeuroEngineering and Rehabilitation · 35
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Deep Learning Measurement Model to Segment the Nuchal Translucency Region for the Early Identification of Down Syndrome
2022 · Mary Christeena Thomas, Sridhar P. Arjunan · Measurement Science Review · 34
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A Kinematic Study of Progressive Micrographia in Parkinson's Disease
2019 · Poonam Zham, Sanjay Raghav, et al. · Frontiers in Neurology · 34
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Towards identification of finger flexions using single channel surface electromyography – able bodied and amputee subjects
2013 · Dinesh Kant Kumar, Sridhar Poosapadi Arjunan, et al. · Journal of NeuroEngineering and Rehabilitation · 32
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Applications of ICA and fractal dimension in sEMG signal processing for subtle movement analysis: a review
2011 · Ganesh R. Naik, Sridhar Arjunan, et al. · Australasian Physical & Engineering Sciences in Medicine · 32
Outlier removal in facial surface electromyography through Hampel filtering technique
2017 · Susmit Bhowmik, Beth Jelfs, et al. · IEEE Life Sciences Conference (LSC) · 31
A machine learning based method for classification of fractal features of forearm sEMG using Twin Support vector machines
2010 · S P Arjunan, D K Kumar, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 31
Efficiency of Voice Features Based on Consonant for Detection of Parkinson's Disease
2018 · R. Viswanathan, P. Khojasteh, et al. · IEEE Life Sciences Conference (LSC) · 30
Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques
2010 · Ganesh Naik, Dinesh Kumar, et al. · Measurement Science Review · 30
Introducing a Novel Layer in Convolutional Neural Network for Automatic Identification of Diabetic Retinopathy
2018 · P. Khojasteh, B. Aliahmad, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 29
Works count: 176
Citation count: 2,428
H-index: 27
I10-index: 66
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