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ORCIDNagarajan Ganapathy
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2020 – today
- 2025
[j15]Vinay Kumar Barigala, Swarubini PJ, Sriram Kumar P, Nagarajan Ganapathy, Karthik P. A., Deepesh Kumar
, Jac Fredo Agastinose Ronickom:
Evaluating the effectiveness of machine learning in identifying the optimal facial electromyography location for emotion detection. Biomed. Signal Process. Control. 100: 107012 (2025)- 2024
- [j14]Yedukondala Rao Veeranki, Nagarajan Ganapathy, Ramakrishnan Swaminathan, Hugo F. Posada-Quintero:
Comparison of Electrodermal Activity Signal Decomposition Techniques for Emotion Recognition. IEEE Access 12: 19952-19966 (2024) - [j13]Sourabh Banik, Himanshu Kumar, Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Exploring Central-Peripheral Nervous System Interaction Through Multimodal Biosignals: A Systematic Review. IEEE Access 12: 60347-60368 (2024) - [j12]Ameya Chatur, Mostafa Haghi, Nagarajan Ganapathy, Nima TaheriNejad, Ralf Seepold, Natividad Martínez Madrid:
Advanced Classifiers and Feature Reduction for Accurate Insomnia Detection Using Multimodal Dataset. IEEE Access 12: 150664-150678 (2024) - [j11]Remya R. Nair, P. A. Karthick, Nagarajan Ganapathy, G. Venugopal:
Surface electromyography based analysis of muscle fiber type variations in the lower limb muscles of sprinters using gray level transformed Morlet scalogram images and Haralick features. Biomed. Signal Process. Control. 93: 106123 (2024) - [j10]Praveen Kumar Govarthan, Sriram Kumar P, Nagarajan Ganapathy, Jac Fredo Agastinose Ronickom:
Emotion classification using electrocardiogram and machine learning: A study on the effect of windowing techniques. Expert Syst. Appl. 254: 124371 (2024) - [j9]Sriram Kumar P, Praveen Kumar Govarthan, Abdul Aleem Shaik Gadda, Nagarajan Ganapathy, Jac Fredo Agastinose Ronickom:
Deep Learning-Based Automated Emotion Recognition Using Multimodal Physiological Signals and Time-Frequency Methods. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [c21]Nagarajan Ganapathy:
Radar-Based Elderly Fall Detection Using Smoothed Pseudo Wigner Ville Distribution and XGBoost Learning. MIE 2024: 518-522 - [c20]Nagarajan Ganapathy:
Automated Assessment of Driver Distraction Using Multimodal Wearable Data and Squeeze-Excitation Networks. MIE 2024: 951-952 - [c19]Himanshu Kumar, Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Assessment of Valance Emotional State Using EEG-EDA Coupling and Explainable Classifiers. MIE 2024: 953-957 - [c18]Himanshu Singh, Joana M. Warnecke, Alexander Picker, Nagarajan Ganapathy, Thomas M. Deserno:
Multimodal Signal Fusion for Heartbeat Monitoring on eScooters. MIE 2024: 973-977 - 2023
- [c17]Vishal Singh Roha, Nagarajan Ganapathy, Nicolai Spicher, Sriparna Saha, Thomas M. Deserno:
Assessment of Driver's Stress using Multimodal Biosignals and Regularized Deep Kernel Learning. EMBC 2023: 1-4 - [c16]Lokesh Naidu Lebaka, Praveen Kumar Sriram Kumar Pa Govarthan, Priya Rani, Nagarajan Ganapathy, Jac Fredo Agastinose Ronickom:
Automated Emotion Recognition System Using Blood Volume Pulse and XGBoost Learning. ICIMTH 2023: 52-55 - [c15]Praveen Kumar Sriram Kumar Pa Govarthan, Swarubini PJ, Mythili Aasaithambi, Nagarajan Ganapathy, Karthik P. A., Deepesh Kumar, Jac Fredo Agastinose Ronickom:
Identifying the Optimal Location of Facial EMG for Emotion Detection Using Logistic Regression. ICIMTH 2023: 81-84 - [c14]Sriram Kumar P, Praveen Kumar Govarthan, Nagarajan Ganapathy, Jac Fredo Agastinose Ronickom:
Comparative Analysis of Electrodermal Activity Decomposition Methods in Emotion Detection Using Machine Learning. MIE 2023: 73-77 - 2022
- [j8]Vinothini Selvaraju, Nicolai Spicher, Ju Wang, Nagarajan Ganapathy, Joana M. Warnecke, Steffen Leonhardt, Ramakrishnan Swaminathan, Thomas M. Deserno:
Continuous Monitoring of Vital Signs Using Cameras: A Systematic Review. Sensors 22(11): 4097 (2022) - [j7]Joana M. Warnecke, Nagarajan Ganapathy, Eugen Koch, Andreas Dietzel, Maximilian Flormann, Roman Henze, Thomas M. Deserno:
Printed and Flexible ECG Electrodes Attached to the Steering Wheel for Continuous Health Monitoring during Driving. Sensors 22(11): 4198 (2022) - [c13]Himanshu Kumar, Nagarajan Ganapathy, Subha D. Puthankattil, Ramakrishnan Swaminathan:
Assessment of emotional states in EEG signals using multi-frequency power spectrum and functional connectivity patterns. EMBC 2022: 277-283 - [c12]Manuskendan Subha Ramakrishnan, Nagarajan Ganapathy:
Phenotypes based Classification of Blood-Brain-Barrier Drugs using Feature Selection Methods and Extreme Gradient Boosting. EMBC 2022: 1346-1349 - [c11]Arne Klingenberg, Valentin Purrucker, Willi Schüler, Nagarajan Ganapathy, Nicolai Spicher, Thomas M. Deserno:
Human activity recognition from textile electrocardiograms. EMBC 2022: 3434-3437 - [c10]Shabina Shaikh, Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Automated Segmentation of Lateral Ventricles in Alzheimer's Conditions Using UNET++ Model. ICIMTH 2022: 511-514 - [c9]Manuskandan Subha Ramakrishnan, Nagarajan Ganapathy:
Extreme Gradient Boosting Based Improved Classification of Blood-Brain-Barrier Drugs. MIE 2022: 872-873 - [c8]Yedukondala Rao Veeranki, Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Classification of Dichotomous Emotional States Using Electrodermal Activity Signals and Multispectral Analysis. MIE 2022: 941-942 - [c7]Himanshu Kumar, Nagarajan Ganapathy, Subha D. Puthankattil, Ramakrishnan Swaminathan:
Classification of Emotional States Using EEG Signals and Wavelet Packet Transform Features. MIE 2022: 943-944 - 2021
- [j6]Yedukondala Rao Veeranki, Himanshu Kumar, Nagarajan Ganapathy, Balasubramaniam Natarajan, Ramakrishnan Swaminathan:
A Systematic Review of Sensing and Differentiating Dichotomous Emotional States Using Audio-Visual Stimuli. IEEE Access 9: 124434-124451 (2021) - [j5]Nagarajan Ganapathy, Ramakrishnan Swaminathan, Thomas M. Deserno:
Adaptive learning and cross training improves R-wave detection in ECG. Comput. Methods Programs Biomed. 200: 105931 (2021) - [j4]Nagarajan Ganapathy, Yedukondala Rao Veeranki, Himanshu Kumar, Ramakrishnan Swaminathan:
Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolutional Neural Network. J. Medical Syst. 45(4): 49 (2021) - [j3]Erik Tute, Nagarajan Ganapathy, Antje Wulff:
A data driven learning approach for the assessment of data quality. BMC Medical Informatics Decis. Mak. 21(1): 302 (2021) - [j2]Nagarajan Ganapathy, Diana Baumgärtel, Thomas M. Deserno:
Automatic Detection of Atrial Fibrillation in ECG Using Co-Occurrence Patterns of Dynamic Symbol Assignment and Machine Learning. Sensors 21(10): 3542 (2021) - [c6]Himanshu Kumar, Nagarajan Ganapathy, Subha D. Puthankattil, Ramakrishnan Swaminathan:
Emotion Recognition in EEG Signals Using Decision Fusion Based Electrode Selection. MIE 2021: 153-157 - [c5]Sreelakshmi Shaji, Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Differentiation of Alzheimer Conditions in MR Brain Images Using a Single Inception Module Network. MIE 2021: 158-162 - [c4]Yedukondala Rao Veeranki, Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Non-Parametric Classifiers Based Emotion Classification Using Electrodermal Activity and Modified Hjorth Features. MIE 2021: 163-167 - 2020
- [j1]Nagarajan Ganapathy, Yedukondala Rao Veeranki, Ramakrishnan Swaminathan:
Convolutional neural network based emotion classification using electrodermal activity signals and time-frequency features. Expert Syst. Appl. 159: 113571 (2020) - [c3]Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Emotion Analysis Using Electrodermal Signals and Spiking Deep Belief Network. MIE 2020: 1269-1270
2010 – 2019
- 2019
- [c2]Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolution Neural Network. EFMI-STC 2019: 140 - [c1]Kanchana Devanathan, Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Binary Grey Wolf Optimizer based Feature Selection for Nucleolar and Centromere Staining Pattern Classification in Indirect Immunofluorescence Images. EMBC 2019: 7040-7043
Coauthor Index
aka: Ramakrishnan Swaminathan
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