Supervised machine learning based gait classification system for early detection and stage classification of Parkinson's disease. - Balaji E.; Brindha D.; Balakrishnan R. (Appl. Soft Comput., 2020)

Automatic and non-invasive Parkinson's disease diagnosis and severity rating using LSTM network. - Balaji E.; Brindha D.; Elumalai Vinodh Kumar; Vikrama R. (Appl. Soft Comput., 2021)

Gesture recognition framework for upper-limb prosthetics using entropy features from electromyographic signals and a Gaussian kernel SVM classifier. - Prabhavathy T.; Elumalai Vinodh Kumar; Balaji E. (Appl. Soft Comput., 2024)

A surface electromyography based hand gesture recognition framework leveraging variational mode decomposition technique and deep learning classifier. - Prabhavathy T.; Elumalai Vinodh Kumar; Balaji E.; Dhanasekaran Sandhiya (Eng. Appl. Artif. Intell., 2024)

Hand gesture classification framework leveraging the entropy features from sEMG signals and VMD augmented multi-class SVM. - Prabhavathy T.; Elumalai Vinodh Kumar; Balaji E. (Expert Syst. Appl., 2024)

Parkinson's disease detection and stage classification: quantitative gait evaluation through variational mode decomposition and DCNN architecture. - Balaji E.; Elumalai Vinodh Kumar; Dhanasekaran Sandhiya; R. M. Swarna Priya; S. P. Shantharajah (Connect. Sci., 2024)