All Stories

  1. Wearable Accelerometer and Gyroscope Sensors for Estimating the Severity of Essential Tremor

    Article • IEEE Journal of Translational Engineering in Health and Medicine, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  2. CHANGES IN FRACTAL DIMENSION OF THIN AND THICK BLOOD VESSELS FROM RETINAL FUNDUS IMAGES FOR DIFFERENT STAGES IN DIABETIC RETINOPATHY

    Article • Biomedical Engineering Applications Basis and Communications, December 2023, National Taiwan University

    Dr Sridhar Poosapadi Arjunan

  3. A translational study for detection of cardiac autonomic neuropathy using fractal features: A bench to bedside approach

    Article • July 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  4. A Review of Spectroscopic and Non-Spectroscopic Techniques for Diagnosing Breast Cancer

    Article • Current Medical Imaging Formerly Current Medical Imaging Reviews, June 2023, Bentham Science Publishers

    Stella Jenifer, Dr Sridhar Poosapadi Arjunan

  5. FRACTAL DIMENSION TECHNIQUES FOR ANALYSIS OF CARDIAC AUTONOMIC NEUROPATHY (CAN)

    Article • Biomedical Engineering Applications Basis and Communications, February 2023, National Taiwan University

    Dr Sridhar Poosapadi Arjunan

  6. Design of smart micropower thermoelectric generator on thin film with nanocomposite PCM using MEMS technology for biomedical application

    Article • January 2023, American Institute of Physics

    indirani pappaiyan, Dr Sridhar Poosapadi Arjunan

  7. IoT based smart public distribution system shops

    Article • January 2023, American Institute of Physics

    Dr Sridhar Poosapadi Arjunan

  8. Simulation for integrating solar and human thermal energy using TEG and low power converter

    Article • January 2023, American Institute of Physics

    Dr Sridhar Poosapadi Arjunan

  9. Complexity Analysis in the PR, QT, RR and ST Segments of ECG for Early Assessment of Severity in Cardiac Autonomic Neuropathy

    Article • Applied Sciences, June 2022, MDPI AG

    Dr Sridhar Poosapadi Arjunan

  10. Investigation of Formalin-Fixed Tissue Optical Characteristics in the Range of 200–500 GHz Using Pulsed Terahertz Reflection Spectroscopy to Differentiate Oral Malignant, Benign, and Cyst

    Article • Journal of Spectroscopy, February 2022, Hindawi Publishing Corporation

    Dr Sridhar Poosapadi Arjunan

  11. A Non-Invasive IR Sensor Technique to Differentiate Parkinson’s Disease from Other Neurological Disorders Using Autonomic Dysfunction as Diagnostic Criterion

    Article • Sensors, December 2021, MDPI AG

    Dr Sridhar Poosapadi Arjunan

  12. Nuchal Translucency Thickness Measurement in Fetal Ultrasound Images to Analyze Down Syndrome

    Article • IETE Journal of Research, September 2021, Taylor & Francis

    Dr Sridhar Poosapadi Arjunan

  13. A Review of Ultrasound Imaging Techniques for the Detection of Down Syndrome

    Article • IRBM, April 2020, Elsevier

    Dr Sridhar Poosapadi Arjunan

  14. Variance of the Gait Parameters and Fraction of Double-Support Interval for Determining the Severity of Parkinson’s Disease

    Article • Applied Sciences, January 2020, MDPI AG

    Dr Sridhar Poosapadi Arjunan

  15. Design and Development of a Smart Eye Wearable for the Visually Impaired

    Article • January 2020, Springer Science + Business Media

    Dr Sridhar Poosapadi Arjunan

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

    Article • IEEE Journal of Translational Engineering in Health and Medicine, January 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

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

    Article • Biosensors, December 2019, MDPI AG

    Dr Sridhar Poosapadi Arjunan

  18. Implementation and experimental validation of surface electromyogram and force model of Tibialis Anterior muscle for examining muscular factors

    Article • Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine, November 2019, SAGE Publications

    Dr Sridhar Poosapadi Arjunan

  19. Design and validation of MEMS based micro energy harvesting and thermal energy storage device

    Article • Materials Research Express, October 2019, Institute of Physics Publishing

    Dr Sridhar Poosapadi Arjunan

  20. Prosthetic hand control: A multidisciplinary review to identify strengths, shortcomings, and the future

    Article • Biomedical Signal Processing and Control, August 2019, Elsevier

    Dr Sridhar Poosapadi Arjunan

  21. Normalized Mutual Information of phonetic sound to distinguish the speech of Parkinson’s disease

    Article • July 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  22. Which Gait Parameters and Walking Patterns Show the Significant Differences Between Parkinson’s Disease and Healthy Participants?

    Article • Biosensors, April 2019, MDPI AG

    Dr Sridhar Poosapadi Arjunan

  23. A Kinematic Study of Progressive Micrographia in Parkinson's Disease

    Article • Frontiers in Neurology, April 2019, Frontiers

    Dr Sridhar Poosapadi Arjunan

  24. Effect of levodopa on handwriting tasks of different complexity in Parkinson’s disease: a kinematic study

    Article • Journal of Neurology, March 2019, Springer Science + Business Media

    Dr Sridhar Poosapadi Arjunan

  25. Efficiency of Voice Features Based on Consonant for Detection of Parkinson's Disease

    Article • October 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  26. Is Thermal Imaging a Useful Predictor of the Healing Status of Diabetes-Related Foot Ulcers? A Pilot Study

    Article • Journal of Diabetes Science and Technology, September 2018, SAGE Publications

    Dr Sridhar Poosapadi Arjunan

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

    Article • IEEE Journal of Biomedical and Health Informatics, September 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  28. Identifying Noisy Electrodes in High Density Surface Electromyography Recordings Through Analysis of Spatial Similarities

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  29. Introducing a Novel Layer in Convolutional Neural Network for Automatic Identification of Diabetic Retinopathy

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  30. Measuring complexity in different muscles during sustained contraction using fractal properties of SEMG signal

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  31. High-Resolution Spectral Analysis Accurately Identifies the Bacterial Signature in Infected Chronic Foot Ulcers in People With Diabetes

    Article • The International Journal of Lower Extremity Wounds, June 2018, SAGE Publications

    Dr Sridhar Poosapadi Arjunan

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

    Article • IEEE Transactions on Neural Systems and Rehabilitation Engineering, March 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  33. Computational model to investigate the relative contributions of different neuromuscular properties of tibialis anterior on force generated during ankle dorsiflexion

    Article • Medical & Biological Engineering & Computing, January 2018, Springer Science + Business Media

    Dr Sridhar Poosapadi Arjunan

  34. Extracting tumor in MR brain and breast image with Kapur’s entropy based Cuckoo Search Optimization and morphological reconstruction filters

    Article • Journal of Applied Biomedicine, January 2018, Elsevier

    Dr Sridhar Poosapadi Arjunan

  35. Normalised Mutual Information of High-Density Surface Electromyography during Muscle Fatigue

    Article • Entropy, December 2017, MDPI AG

    Dr Sridhar Poosapadi Arjunan

  36. Effect of Pennation Angle on Tibialis Anterior sEMG Signal

    Article • PLoS ONE, December 2017, PLOS

    Dr Sridhar Poosapadi Arjunan

  37. Outlier removal in facial surface electromyography through Hampel filtering technique

    Article • December 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

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

    Article • Frontiers in Neurology, September 2017, Frontiers

    Dr Sridhar Poosapadi Arjunan

  39. Computing the variations in the self-similar properties of the various gait intervals in Parkinson disease patients

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  40. Measuring the interactions between different locations in a muscle to monitor localized muscle fatigue

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  41. Improved sEMG signal classification using the Twin SVM

    Article • October 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  42. RECOGNITION OF FINGER/HAND GRIP MECHANISM BY COMPUTING S-TRANSFORM FEATURES OF SURFACE ELECTROMYOGRAM SIGNAL FROM HEALTHY AND AMPUTEE

    Article • Journal of Mechanics in Medicine and Biology, September 2016, World Scientific Pub Co Pte Lt

    Dr Sridhar Poosapadi Arjunan

  43. Difference in age-related changes in surface electromyogram of tibialis anterior and triceps surae

    Article • Biomedical Physics & Engineering Express, August 2016, Institute of Physics Publishing

    Dr Sridhar Poosapadi Arjunan

  44. Age related neuromuscular changes in sEMG of m. Tibialis Anterior using higher order statistics (Gaussianity & linearity test)

    Article • August 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  45. Estimating the progression of muscle fatigue based on dependence between motor units using high density surface electromyogram

    Article • August 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  46. Non-invasive detection of the freezing of gait in Parkinson's disease using spectral and wavelet features

    Article • August 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  47. Fractal and twin SVM-based handgrip recognition- myolectric and Amputee

    Article • Biomedical Engineering / Biomedizinische Technik, February 2016, De Gruyter

    Dr Sridhar Poosapadi Arjunan

  48. Fractals and Electromyograms

    Article • January 2016, Springer Science + Business Media

    Dr Sridhar Poosapadi Arjunan

  49. Age-Associated Changes in the Spectral and Statistical Parameters of Surface Electromyogram ofTibialis Anterior

    Article • BioMed Research International, January 2016, Hindawi Publishing Corporation

    Dr Sridhar Poosapadi Arjunan

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

    Article • Computational and Mathematical Methods in Medicine, January 2016, Hindawi Publishing Corporation

    Dr Sridhar Poosapadi Arjunan

  51. Effect of toe extension on EMG of triceps surae muscles during isometric dorsiflexion

    Article • Biomedical Engineering / Biomedizinische Technik, January 2016, De Gruyter

    Dr Sridhar Poosapadi Arjunan

  52. Human–Computer Interface Technologies for the Motor Impaired

    Article • September 2015

    Dr Sridhar Poosapadi Arjunan

  53. Age-related motor unit remodeling in the Tibialis Anterior

    Article • August 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  54. Effect of age on changes in motor units functional connectivity

    Article • August 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  55. Effect of number of motor units and muscle fibre type on surface electromyogram

    Article • Medical & Biological Engineering & Computing, July 2015, Springer Science + Business Media

    Dr Sridhar Poosapadi Arjunan

  56. Selection of suitable hand gestures for reliable myoelectric human computer interface

    Article • BioMedical Engineering OnLine, April 2015, Springer Science + Business Media

    Dr Sridhar Poosapadi Arjunan

  57. Independence Between Two Channels of Surface Electromyogram Signal

    Article • Measurement Science Review, January 2015, De Gruyter

    Dr Sridhar Poosapadi Arjunan

  58. Improvement of isometric dorsiflexion protocol for assessment of tibialis anterior muscle strength

    Article • MethodsX, January 2015, Elsevier

    Dr Sridhar Poosapadi Arjunan

  59. Impact of vibration on the muscle endurance and fatigue during strengthening exercise

    Article • International Journal of Medical Engineering and Informatics, January 2015, Inderscience Publishers

    Dr Sridhar Poosapadi Arjunan

  60. A model for generating Surface EMG signal of m. Tibialis Anterior

    Article • August 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  61. Surface EMG model for Tibialis Anterior muscle with experimentally based simulation parameters

    Article • May 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

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

    Article • BioMed Research International, January 2014, Hindawi Publishing Corporation

    Dr Sridhar Poosapadi Arjunan

  63. Towards better segmentation of object of interest using histogram equalisation and morphological reconstruction

    Article • International Journal of Signal and Imaging Systems Engineering, January 2014, Inderscience Publishers

    Dr Sridhar Poosapadi Arjunan

  64. sEMG feature evaluation for identification of elbow angle resolution in graded arm movement

    Article • BioMedical Engineering OnLine, January 2014, Springer Science + Business Media

    Dr Sridhar Poosapadi Arjunan

  65. Evaluating Video and Facial Muscle Activity for a Better Assistive Technology: A Silent Speech Based HCI

    Article • November 2013, Springer Science + Business Media

    Dr Sridhar Poosapadi Arjunan

  66. Computation and study of the low-frequency oscillation of surface electromyogram recorded in biceps during isometric upper limb contraction

    Article • July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  67. Feature extraction and classification of sEMG signals applied to a virtual hand prosthesis

    Article • July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  68. Spectral properties of surface electromyogram signal and change in muscle conduction velocity during isometric muscle contraction

    Article • Signal Image and Video Processing, March 2013, Springer Science + Business Media

    Dr Sridhar Poosapadi Arjunan

  69. Age related changes in the complexity of surface EMG in biceps: A model based study

    Article • February 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  70. Class specific dynamic feature selection technique — Towards human movement based biometrics application

    Article • February 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  71. Investigation and analysis of low frequency of electromyogram during isometric contraction

    Article • February 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  72. Real-time control of finger and wrist movements in a virtual hand using traditional features of semg and Bayesian classifier

    Article • February 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  73. Towards semg classification based on Bayesian and k-NN to control a prosthetic hand

    Article • February 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  74. Towards identification of finger flexions using single channel surface electromyography – able bodied and amputee subjects

    Article • Journal of NeuroEngineering and Rehabilitation, January 2013, Springer Science + Business Media

    Dr Sridhar Poosapadi Arjunan

  75. Motor Unit Synchronization as a Measure of Localized Muscle Fatigue

    Article • International Journal of Biomedical and Clinical Engineering, January 2013, IGI Global

    Dr Sridhar Poosapadi Arjunan

  76. Age-associated changes in muscle activity during isometric contraction

    Article • Muscle & Nerve, December 2012, Wiley

    Dr Sridhar Poosapadi Arjunan

  77. Evaluation of feature extraction techniques in emotional state recognition

    Article • December 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  78. Towards better real-time control of smart wheelchair using subtle finger movements via wireless (blue-tooth) interface

    Article • December 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  79. Fractal based complexity measure and variation in force during sustained isometric muscle contraction: Effect of aging

    Article • August 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  80. Computation of fractal features based on the fractal analysis of surface Electromyogram to estimate force of contraction of different muscles

    Article • Computer Methods in Biomechanics & Biomedical Engineering, April 2012, Taylor & Francis

    Dr Sridhar Poosapadi Arjunan

  81. Chin EMG analysis for REM sleep behavior disorders

    Article • January 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  82. Article • Journal of Medical and Biological Engineering, January 2012, Taiwanese Society of Biomedical Engineering

    Dr Sridhar Poosapadi Arjunan

  83. Capture protocol of forearm sEMG signals with four channels in healthy and amputee people

    Article • January 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  84. Impact of vibration on the muscle endurance and fatigue during strengthening exercise

    Article • January 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  85. Investigation of age and gender related changes in force of isometric contraction, muscle endurance and muscle strength among young and old healthy people

    Article • January 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  86. Measure of increase in motor unit synchronisaton for young and old using sEMG

    Article • January 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  87. Facial Muscle Activity Patterns for Recognition of Utterances in Native and Foreign Language

    Article • January 2012, IGI Global

    Dr Sridhar Poosapadi Arjunan

  88. Measuring Increase in Synchronization to Identify Muscle Endurance Limit

    Article • IEEE Transactions on Neural Systems and Rehabilitation Engineering, October 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  89. Effect of age and gender on the surface electromyogram during various levels of isometric contraction

    Article • August 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  90. Surface EMG model of the bicep during aging: A preliminary study

    Article • August 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  91. FRACTAL PROPERTIES OF SURFACE ELECTROMYOGRAM FOR CLASSIFICATION OF LOW-LEVEL HAND MOVEMENTS FROM SINGLE-CHANNEL FOREARM MUSCLE ACTIVITY

    Article • Journal of Mechanics in Medicine and Biology, June 2011, World Scientific Pub Co Pte Lt

    Dr Sridhar Poosapadi Arjunan

  92. Applications of ICA and fractal dimension in sEMG signal processing for subtle movement analysis: a review

    Article • Australasian Physical & Engineering Sciences in Medicine, March 2011, Springer Science + Business Media

    Dr Sridhar Poosapadi Arjunan

  93. Reliability and variability in facial electromyography for identification of speech and for human computer control: an experimental study

    Article • International Journal of Medical Engineering and Informatics, January 2011, Inderscience Publishers

    Dr Sridhar Poosapadi Arjunan

  94. Kurtosis and negentropy investigation of myo electric signals during different MVCs

    Article • January 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  95. Observing exercise induced heart rate variability response

    Article • January 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  96. Spectral properties of surface EMG and muscle conduction velocity: A study based on sEMG model

    Article • January 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  97. Towards classification of low-level finger movements using forearm muscle activation: a comparative study based on ICA and Fractal theory

    Article • International Journal of Biomedical Engineering and Technology, January 2011, Inderscience Publishers

    Dr Sridhar Poosapadi Arjunan

  98. A machine learning based method for classification of fractal features of forearm sEMG using Twin Support vector machines

    Article • August 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  99. A sEMG model with experimentally based simulation parameters

    Article • August 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  100. Estimation of alertness levels with changes in decibel scale wavelength of EEG during dual-task simulation of auditory sonar target detection

    Article • August 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  101. FEATURES OF sEMG BASED ON SOURCE SEPARATION AND FRACTAL PROPERTIES TO DETECT WRIST MOVEMENTS

    Article • Biomedical Engineering Applications Basis and Communications, August 2010, National Taiwan University

    Dr Sridhar Poosapadi Arjunan

  102. Fractal feature of sEMG from Flexor digitorum superficialis muscle correlated with levels of contraction during low-level finger flexions

    Article • August 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  103. Fusion of multiscale wavelet-based fractal analysis on retina image for stroke prediction

    Article • August 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

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

    Article • Journal of NeuroEngineering and Rehabilitation, January 2010, Springer Science + Business Media

    Dr Sridhar Poosapadi Arjunan

  105. Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques

    Article • Measurement Science Review, January 2010, De Gruyter

    Dr Sridhar Poosapadi Arjunan

  106. Article • Journal of Medical and Biological Engineering, January 2010, Taiwanese Society of Biomedical Engineering

    Dr Sridhar Poosapadi Arjunan

  107. Testing of motor unit synchronization model for localized muscle fatigue

    Article • September 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  108. Changes in decibel scale wavelength properties of EEG with alertness levels while performing sustained attention tasks

    Article • September 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  109. Mechanomyogram for identifying muscle activity and fatigue

    Article • September 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  110. Use of sEMG in identification of low level muscle activities: Features based on ICA and fractal dimension

    Article • September 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  111. Estimation of Muscle Fatigue during Cyclic Contractions Using Source Separation Techniques

    Article • January 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  112. Classification of voiceless speech using facial muscle activity and vision based techniques

    Article • November 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  113. Fractal features based technique to identify subtle forearm movements and to measure alertness using physiological signals (sEMG, EEG)

    Article • November 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  114. Reliability of facial muscle activity to identify vowel utterance

    Article • November 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  115. Multi modal gesture identification for HCI using surface EMG

    Article • October 2008, ACM (Association for Computing Machinery)

    Dr Sridhar Poosapadi Arjunan

  116. LIMITATIONS AND APPLICATIONS OF ICA FOR SURFACE ELECTROMYOGRAM FOR IDENTIFYING HAND GESTURES

    Article • International Journal of Computational Intelligence and Applications, September 2008, World Scientific Pub Co Pte Lt

    Dr Sridhar Poosapadi Arjunan

  117. VISUAL SPEECH RECOGNITION USING DYNAMIC FEATURES AND SUPPORT VECTOR MACHINES

    Article • International Journal of Image and Graphics, July 2008, World Scientific Pub Co Pte Lt

    Dr Sridhar Poosapadi Arjunan

  118. Recognition of Human Voice Utterances from Facial Surface EMG without Using Audio Signals

    Article • January 2008, Springer Science + Business Media

    Dr Sridhar Poosapadi Arjunan

  119. Limitations and Applications of ICA in Facial sEMG and Hand Gesture sEMG for Human Computer Interaction

    Article • December 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  120. Recognition of Facial Movements and Hand Gestures Using Surface Electromyogram(sEMG) for HCI Based Applications

    Article • December 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  121. Fractal Based Modelling and Analysis of Electromyography (EMG) To Identify Subtle Actions

    Article • August 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  122. Fractal theory based Non-linear analysis of sEMG

    Article • January 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  123. Visual Speech Recognition Method Using Translation, Scale and Rotation Invariant Features

    Article • November 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  124. Limitations and Applications of ICA for Surface Electromyogram

    Article • August 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  125. Unspoken Vowel Recognition Using Facial Electromyogram

    Article • August 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan

  126. ICA as Pattern Recognition Technique for Gesture Identification

    Article • IGI Global

    Dr Sridhar Poosapadi Arjunan

  127. ICA as Pattern Recognition Technique for Gesture Identification

    Article • IGI Global

    Dr Sridhar Poosapadi Arjunan

  128. Facial Muscle Activity Patterns for Recognition of Utterances in Native and Foreign Language

    Article • IGI Global

    Dr Sridhar Poosapadi Arjunan

  129. Visual Speech Recognition Using Image Moments and Multiresolution Wavelet Images

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Dr Sridhar Poosapadi Arjunan