| Supervised machine learning based gait classification system for early detection and stage classification of Parkinson’s disease E Balaji, D Brindha, R Balakrishnan Applied Soft Computing 94, 106494, 2020 | 100 | 2020 |
| Automatic and non-invasive Parkinson’s disease diagnosis and severity rating using LSTM network E Balaji, D Brindha, VK Elumalai, R Vikrama Applied Soft Computing 108, 107463, 2021 | 95 | 2021 |
| Data-driven gait analysis for diagnosis and severity rating of Parkinson’s disease E Balaji, D Brindha, VK Elumalai, K Umesh Medical Engineering & Physics 91, 54-64, 2021 | 52 | 2021 |
| Hand gesture classification framework leveraging the entropy features from sEMG signals and VMD augmented multi-class SVM T Prabhavathy, VK Elumalai, E Balaji Expert Systems with Applications 238, 121972, 2024 | 21 | 2024 |
| A surface electromyography based hand gesture recognition framework leveraging variational mode decomposition technique and deep learning classifier T Prabhavathy, VK Elumalai, E Balaji, D Sandhiya Engineering Applications of Artificial Intelligence 130, 107669, 2024 | 3 | 2024 |
| Gait Analysis for Severity Rating of Parkinson’s Disease Using Machine Learning and Deep Learning Algorithms E Balaji, D Brindha Anna University, 2021 | 1 | 2021 |
| Gesture recognition framework for upper-limb prosthetics using entropy features from electromyographic signals and a Gaussian kernel SVM classifier T Prabhavathy, VK Elumalai, E Balaji Applied Soft Computing 167, 112382, 2024 | | 2024 |
| Automatic Detection and stage classification of Diabetic Retinopathy Using Convolutional neural network with densenet120 E Balaji Proceedings of the First International Conference on Combinatorial and …, 2021 | | 2021 |
D BrindhaAssistant Professor PSG College of Technology在 bme.psgtech.ac.in 的电子邮件经过验证
D BrindhaAssistant Professor PSG College of Technology在 bme.psgtech.ac.in 的电子邮件经过验证
Vinodh Kumar EProfessor, Vellore Institute of Technology, Vellore, India在 vit.ac.in 的电子邮件经过验证