Offline Analysis for Designing Electrooculogram Based Human Computer Interface Control for Paralyzed Patients. - Gu Jialu; S. Ramkumar; G. Emayavaramban; M. Thilagaraj; V. Muneeswaran; M. Pallikonda Rajasekaran; Ahmed Faeq Hussein (IEEE Access, 2018)

Brain Computer Interface for Neurodegenerative Person Using Electroencephalogram. - Junwei Li; S. Ramkumar; G. Emayavaramban; D. Franklin Vinod; M. Thilagaraj; V. Muneeswaran; M. Pallikonda Rajasekaran; V. Venkataraman; Ahmed Faeq Hussein (IEEE Access, 2019)

Tsallis entropy: as a new single feature with the least computation time for classification of epileptic seizures. - M. Thilagaraj; M. Pallikonda Rajasekaran; N. Arun Kumar (Clust. Comput., 2019)

An empirical mode decomposition (EMD)-based scheme for alcoholism identification. - M. Thilagaraj; M. Pallikonda Rajasekaran (Pattern Recognit. Lett., 2019)

Multimodal Biometrics Recognition Using Soft Computing. - U. Ramani; M. Thilagaraj; V. Mueeswaran (FICTA (2), 2021)

Electrooculogram signal identification for elderly disabled using Elman network. - M. Thilagaraj; N. Arunkumar; S. Ramkumar; S. Hariharasitaraman (Microprocess. Microsystems, 2021)

The Utility of Simulink Subsystems in Handling and Processing of Biomedical Signals and Images. - Qiufang Ma; C. Manikandan; Elamaran Vellaiappan; M. Thilagaraj (J. Medical Imaging Health Informatics, 2022)