Concepedia

Author

Sridhar P. Arjunan

RMIT UniversityORCID

Also Known As

Arjunan, S., Heiko Rudolph, M Palaniswami, Poosapadi Arjunan, S, Poosapadi Arjunan, Sridhar, Poosapadi Arjunan, Sridhar, S Arjunan, S P Arjunan, S. Arjunan, S. P. Arjunan

195

Publications

2.5K

Citations

26

H-Index

170

Concepts

All Affiliations

RMIT UniversitySRM Institute of Science and TechnologyMIT UniversityPresidency UniversityAnna University, Chennai
SP

About

Sridhar P. Arjunan is an author at RMIT University specializing in engineering, kinesiology, and health sciences.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Engineering

19

36

849

2

Health Sciences

16

31

639

3

Medicine

8

8

203

4

Language Studies

1

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23

5

Management

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1

63

Sridhar P. Arjunan

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73

Publications

2K

Citations

26

H-Index

YearCitations

Distinguishing Different Stages of Parkinson’s Disease Using Composite Index of Speed and Pen-Pressure of Sketching a Spiral

Poonam Zham, Dinesh Kumar, Peter Dabnichki,

Frontiers in Neurology

2017

144

Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors

Sridhar P. Arjunan, Dinesh Kumar

Journal of NeuroEngineering and Rehabilitation

2010

98

Evaluation of feature extraction techniques in emotional state recognition

Teodiano Bastos-Filho, André Ferreira, Anibal Cotrina,

2012

84

An ICA-EBM-Based sEMG Classifier for Recognizing Lower Limb Movements in Individuals With and Without Knee Pathology

Ganesh R. Naik, Easter S. Suviseshamuthu, Sridhar P. Arjunan,

IEEE Transactions on Neural Systems and Rehabilitation Engineering

2018

81

Efficacy of Guided Spiral Drawing in the Classification of Parkinson's Disease

Poonam Zham, Sridhar P. Arjunan, Sanjay Raghav,

IEEE Journal of Biomedical and Health Informatics

2017

79

Complexity Measures of Voice Recordings as a Discriminative Tool for Parkinson’s Disease

Rekha Viswanathan, Sridhar P. Arjunan, Adrian Bingham,

Biosensors

2019

70

Development of Health Parameter Model for Risk Prediction of CVD Using SVM

Dinesh Kumar, Sridhar P. Arjunan, Himeesh Kumar,

Computational and Mathematical Methods in Medicine

2016

63

Locomo-Net: A Low -Complex Deep Learning Framework for sEMG-Based Hand Movement Recognition for Prosthetic Control

Arvind Gautam, Madhuri Panwar, Archana Wankhede,

IEEE Journal of Translational Engineering in Health and Medicine

2020

61

Computation and Evaluation of Features of Surface Electromyogram to Identify the Force of Muscle Contraction and Muscle Fatigue

Sridhar P. Arjunan, Dinesh Kumar, Ganesh R. Naik

BioMed Research International

2014

46

Selection of suitable hand gestures for reliable myoelectric human computer interface

Maria Claudia F. Castro, Sridhar P. Arjunan, Dinesh Kumar

BioMedical Engineering OnLine

2015

43

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