Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity. - Yuvaraj Rajamanickam; M. Murugappan; Norlinah Mohamed Ibrahim; Kenneth Sundaraj; Mohd Omar; Khairiyah Mohamad; Rajkumar Palaniappan (Biomed. Signal Process. Control., 2014)

Implementation of Low-Pass Fractional Filtering for the Purpose of Analysis of Electroencephalographic Signals. - Aleksandra Kawala-Janik; Waldemar Bauer; Amir F. Al-Bakri; Chase Haddix; Yuvaraj Rajamanickam; Katarzyna Cichon; Wojciech Podraza (RRNR, 2017)

Implementation of wavelet packet transform and non linear analysis for emotion classification in stroke patient using brain signals. - Siao Zheng Bong; Wan Khairunizam; M. Murugappan; Norlinah Mohamed Ibrahim; Yuvaraj Rajamanickam; Khairiyah Mohamad (Biomed. Signal Process. Control., 2017)

Bispectral features and mean shift clustering for stress and emotion recognition from natural speech. - Yogesh C. K.; Muthusamy Hariharan; Yuvaraj Rajamanickam; Ruzelita Ngadiran; Abdul Hamid Adom; Sazali Yaacob; Kemal Polat (Comput. Electr. Eng., 2017)

Neurology-as-a-Service for the Developing World. - Tejas Dharamsi; Payel Das; Tejaswini Pedapati; Gregory Bramble; Vinod Muthusamy; Horst Samulowitz; Kush R. Varshney; Yuvaraj Rajamanickam; John Thomas; Justin Dauwels (CoRR, 2017)

A deep Learning Scheme for Automatic Seizure Detection from Long-Term Scalp EEG. - Yuvaraj Rajamanickam; John Thomas; Tilmann Kluge; Justin Dauwels (ACSSC, 2018)

A novel Parkinson's Disease Diagnosis Index using higher-order spectra features in EEG signals. - Yuvaraj Rajamanickam; U. Rajendra Acharya; Yuki Hagiwara (Neural Comput. Appl., 2018)

Detection of Subthalamic Nucleus using Time-Frequency Features of Microelectrode recordings and Random Forest Classifier. - Periyamolapalayam Allimuthu Karthick; Kai Rui Wan; R. Yuvaraj 001; Angela An Qi See; Nicolas Kon Kam King; Justin Dauwels (EMBC, 2019)

Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands. - Thangavel Prasanth; John Thomas; R. Yuvaraj 001; Jing Jing; Sydney S. Cash; Rima Chaudhari; Yee-Leng Tan; Rahul Rathakrishnan; Rohit Srivastava; Vinay Saini; M. Brandon Westover; Justin Dauwels (EMBC, 2020)

Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks. - John Thomas; Jing Jin 004; Thangavel Prasanth; Elham Bagheri; Yuvaraj Rajamanickam; Justin Dauwels; Rahul Rathakrishnan; Jonathan J. Halford; Sydney S. Cash; M. Brandon Westover (Int. J. Neural Syst., 2020)

A deep learning approach for Parkinson's disease diagnosis from EEG signals. - Shu Lih Oh; Yuki Hagiwara; U. Raghavendra; Yuvaraj Rajamanickam; Arunkumar N.; M. Murugappan; U. Rajendra Acharya (Neural Comput. Appl., 2020)

Automated EEG pathology detection based on different convolutional neural network models: Deep learning approach. - Rishabh Bajpai; Yuvaraj Rajamanickam; A. Amalin Prince (Comput. Biol. Medicine, 2021)

Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis. - Thangavel Prasanth; John Thomas; Wei Yan Peh; Jin Jing; Yuvaraj Rajamanickam; Sydney S. Cash; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; et al. (Int. J. Neural Syst., 2021)

Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study. - John Thomas; Thangavel Prasanth; Wei Yan Peh; Jin Jing; Yuvaraj Rajamanickam; Sydney S. Cash; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; et al. (Int. J. Neural Syst., 2021)

EEG-based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning. - Muhammad Najam Dar; Muhammad Usman Akram; Yuvaraj Rajamanickam; Sajid Gul Khawaja; M. Murugappan (Comput. Biol. Medicine, 2022)

Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features. - Ankit A. Bhurane; Shivani Dhok; Manish Sharma 001; Yuvaraj Rajamanickam; Murugappan Murugappan; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2022)

Multi-Class Seizure Type Classification Using Features Extracted from the EEG. - Abirami Selvaraj; Swarubini PJ; John Thomas; Yuvaraj Rajamanickam; Ramshekhar N. Menon; Jac Fredo Agastinose Ronickom (ICIMTH, 2023)

Optimization of Pre-Ictal Interval Time Period for Epileptic Seizure Prediction Using Temporal and Frequency Features. - Abdul Aleem Shaik Gadda; Dhanvi Vedantham; John Thomas; Yuvaraj Rajamanickam; Ramshekhar N. Menon; Jac Fredo Agastinose Ronickom (MIE, 2023)

A decision support system for automated diagnosis of Parkinson's disease from EEG using FAWT and entropy features. - Parikha Chawla; Shashi B. Rana; Hardeep Kaur; Kuldeep Singh 004; Yuvaraj Rajamanickam; M. Murugappan (Biomed. Signal Process. Control., 2023)

Comprehensive Analysis of Feature Extraction Methods for Emotion Recognition from Multichannel EEG Recordings. - Yuvaraj Rajamanickam; Prasanth Thagavel; John Thomas; Jack Fogarty; Farhan Ali (Sensors, 2023)

Classification of low-functioning and high-functioning autism using task-based EEG signals. - B. Divya; N. Udayakumar; Yuvaraj Rajamanickam; A. Kavitha (Biomed. Signal Process. Control., 2023)

Optimal EEG Time Window Length for Boredom Classification Using Combined Non-Linear Features. - Yuvaraj Rajamanickam; S. Samyuktha; Jack Fogarty; Jun Song Huang; Samuel Tan; Teck Kiong Wong (EUSIPCO, 2024)

Automated Recognition of Teacher and Student Activities in the Classroom: A Deep Learning Framework. - Yuvaraj Rajamanickam; A. Amalin Prince; M. Murugappan (IEEE Access, 2024)

Automated Multi-Class Seizure-Type Classification System Using EEG Signals and Machine Learning Algorithms. - Abirami Selvaraj; Tikaram; M. Kathiravan; Yuvaraj Rajamanickam; Ramshekhar N. Menon; John Thomas; Periyamolapalayam Allimuthu Karthick; A. Amalin Prince; Jac Fredo Agastinose Ronickom (IEEE Access, 2024)