Nagarajan Ganapathy

Orcid: 0000-0002-3743-5388

According to our database1, Nagarajan Ganapathy authored at least 26 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Comparison of Electrodermal Activity Signal Decomposition Techniques for Emotion Recognition.
IEEE Access, 2024

2023
Comparative Analysis of Electrodermal Activity Decomposition Methods in Emotion Detection Using Machine Learning.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Automated Emotion Recognition System Using Blood Volume Pulse and XGBoost Learning.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

Identifying the Optimal Location of Facial EMG for Emotion Detection Using Logistic Regression.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

Assessment of Driver's Stress using Multimodal Biosignals and Regularized Deep Kernel Learning.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Printed and Flexible ECG Electrodes Attached to the Steering Wheel for Continuous Health Monitoring during Driving.
Sensors, 2022

Continuous Monitoring of Vital Signs Using Cameras: A Systematic Review.
Sensors, 2022

Classification of Dichotomous Emotional States Using Electrodermal Activity Signals and Multispectral Analysis.
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Extreme Gradient Boosting Based Improved Classification of Blood-Brain-Barrier Drugs.
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Classification of Emotional States Using EEG Signals and Wavelet Packet Transform Features.
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Automated Segmentation of Lateral Ventricles in Alzheimer's Conditions Using UNET++ Model.
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Phenotypes based Classification of Blood-Brain-Barrier Drugs using Feature Selection Methods and Extreme Gradient Boosting.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Assessment of emotional states in EEG signals using multi-frequency power spectrum and functional connectivity patterns.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Human activity recognition from textile electrocardiograms.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Automatic Detection of Atrial Fibrillation in ECG Using Co-Occurrence Patterns of Dynamic Symbol Assignment and Machine Learning.
Sensors, 2021

A data driven learning approach for the assessment of data quality.
BMC Medical Informatics Decis. Mak., 2021

Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolutional Neural Network.
J. Medical Syst., 2021

Adaptive learning and cross training improves R-wave detection in ECG.
Comput. Methods Programs Biomed., 2021

A Systematic Review of Sensing and Differentiating Dichotomous Emotional States Using Audio-Visual Stimuli.
IEEE Access, 2021

Non-Parametric Classifiers Based Emotion Classification Using Electrodermal Activity and Modified Hjorth Features.
Proceedings of the Public Health and Informatics, 2021

Differentiation of Alzheimer Conditions in MR Brain Images Using a Single Inception Module Network.
Proceedings of the Public Health and Informatics, 2021

Emotion Recognition in EEG Signals Using Decision Fusion Based Electrode Selection.
Proceedings of the Public Health and Informatics, 2021

2020
Convolutional neural network based emotion classification using electrodermal activity signals and time-frequency features.
Expert Syst. Appl., 2020

Emotion Analysis Using Electrodermal Signals and Spiking Deep Belief Network.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

2019
Binary Grey Wolf Optimizer based Feature Selection for Nucleolar and Centromere Staining Pattern Classification in Indirect Immunofluorescence Images.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolution Neural Network.
Proceedings of the ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference, 2019


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