Yuvaraj Rajamanickam
Orcid: 0000-0003-4526-0749Affiliations:
- Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
According to our database1,
Yuvaraj Rajamanickam
authored at least 21 papers
between 2014 and 2023.
Collaborative distances:
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Bibliography
2023
Classification of low-functioning and high-functioning autism using task-based EEG signals.
Biomed. Signal Process. Control., August, 2023
Comprehensive Analysis of Feature Extraction Methods for Emotion Recognition from Multichannel EEG Recordings.
Sensors, January, 2023
A decision support system for automated diagnosis of Parkinson's disease from EEG using FAWT and entropy features.
Biomed. Signal Process. Control., 2023
Optimization of Pre-Ictal Interval Time Period for Epileptic Seizure Prediction Using Temporal and Frequency Features.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023
2022
Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features.
Expert Syst. J. Knowl. Eng., 2022
EEG-based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning.
Comput. Biol. Medicine, 2022
2021
Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study.
Int. J. Neural Syst., 2021
Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis.
Int. J. Neural Syst., 2021
Automated EEG pathology detection based on different convolutional neural network models: Deep learning approach.
Comput. Biol. Medicine, 2021
2020
Neural Comput. Appl., 2020
Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks.
Int. J. Neural Syst., 2020
Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Detection of Subthalamic Nucleus using Time-Frequency Features of Microelectrode recordings and Random Forest Classifier.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
A novel Parkinson's Disease Diagnosis Index using higher-order spectra features in EEG signals.
Neural Comput. Appl., 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
Bispectral features and mean shift clustering for stress and emotion recognition from natural speech.
Comput. Electr. Eng., 2017
Implementation of wavelet packet transform and non linear analysis for emotion classification in stroke patient using brain signals.
Biomed. Signal Process. Control., 2017
Implementation of Low-Pass Fractional Filtering for the Purpose of Analysis of Electroencephalographic Signals.
Proceedings of the Non-Integer Order Calculus and Its Applications, 2017
2014
Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity.
Biomed. Signal Process. Control., 2014