Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolution Neural Network. - Nagarajan Ganapathy; Ramakrishnan Swaminathan (EFMI-STC, 2019)

Binary Grey Wolf Optimizer based Feature Selection for Nucleolar and Centromere Staining Pattern Classification in Indirect Immunofluorescence Images. - Kanchana Devanathan; Nagarajan Ganapathy; Ramakrishnan Swaminathan (EMBC, 2019)

Emotion Analysis Using Electrodermal Signals and Spiking Deep Belief Network. - Nagarajan Ganapathy; Ramakrishnan Swaminathan (MIE, 2020)

Convolutional neural network based emotion classification using electrodermal activity signals and time-frequency features. - Nagarajan Ganapathy; Yedukondala Rao Veeranki; Ramakrishnan Swaminathan (Expert Syst. Appl., 2020)

Emotion Recognition in EEG Signals Using Decision Fusion Based Electrode Selection. - Himanshu Kumar; Nagarajan Ganapathy; Subha D. Puthankattil; Ramakrishnan Swaminathan (MIE, 2021)

Differentiation of Alzheimer Conditions in MR Brain Images Using a Single Inception Module Network. - Sreelakshmi Shaji; Nagarajan Ganapathy; Ramakrishnan Swaminathan (MIE, 2021)

Non-Parametric Classifiers Based Emotion Classification Using Electrodermal Activity and Modified Hjorth Features. - Yedukondala Rao Veeranki; Nagarajan Ganapathy; Ramakrishnan Swaminathan (MIE, 2021)

A Systematic Review of Sensing and Differentiating Dichotomous Emotional States Using Audio-Visual Stimuli. - Yedukondala Rao Veeranki; Himanshu Kumar; Nagarajan Ganapathy; Balasubramaniam Natarajan; Ramakrishnan Swaminathan (IEEE Access, 2021)

Adaptive learning and cross training improves R-wave detection in ECG. - Nagarajan Ganapathy; Ramakrishnan Swaminathan; Thomas M. Deserno (Comput. Methods Programs Biomed., 2021)

Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolutional Neural Network. - Nagarajan Ganapathy; Yedukondala Rao Veeranki; Himanshu Kumar; Ramakrishnan Swaminathan (J. Medical Syst., 2021)

A data driven learning approach for the assessment of data quality. - Erik Tute; Nagarajan Ganapathy; Antje Wulff (BMC Medical Informatics Decis. Mak., 2021)

Automatic Detection of Atrial Fibrillation in ECG Using Co-Occurrence Patterns of Dynamic Symbol Assignment and Machine Learning. - Nagarajan Ganapathy; Diana Baumgärtel; Thomas M. Deserno (Sensors, 2021)

Human activity recognition from textile electrocardiograms. - Arne Klingenberg; Valentin Purrucker; Willi Schüler; Nagarajan Ganapathy; Nicolai Spicher; Thomas M. Deserno (EMBC, 2022)

Assessment of emotional states in EEG signals using multi-frequency power spectrum and functional connectivity patterns. - Himanshu Kumar; Nagarajan Ganapathy; Subha D. Puthankattil; Ramakrishnan Swaminathan (EMBC, 2022)

Phenotypes based Classification of Blood-Brain-Barrier Drugs using Feature Selection Methods and Extreme Gradient Boosting. - Manuskendan Subha Ramakrishnan; Nagarajan Ganapathy (EMBC, 2022)

Automated Segmentation of Lateral Ventricles in Alzheimer's Conditions Using UNET++ Model. - Shabina Shaikh; Nagarajan Ganapathy; Ramakrishnan Swaminathan (ICIMTH, 2022)

Classification of Emotional States Using EEG Signals and Wavelet Packet Transform Features. - Himanshu Kumar; Nagarajan Ganapathy; Subha D. Puthankattil; Ramakrishnan Swaminathan (MIE, 2022)

Extreme Gradient Boosting Based Improved Classification of Blood-Brain-Barrier Drugs. - Manuskandan Subha Ramakrishnan; Nagarajan Ganapathy (MIE, 2022)

Classification of Dichotomous Emotional States Using Electrodermal Activity Signals and Multispectral Analysis. - Yedukondala Rao Veeranki; Nagarajan Ganapathy; Ramakrishnan Swaminathan (MIE, 2022)

Continuous Monitoring of Vital Signs Using Cameras: A Systematic Review. - Vinothini Selvaraju; Nicolai Spicher; Ju Wang 002; Nagarajan Ganapathy; Joana M. Warnecke; Steffen Leonhardt; Ramakrishnan Swaminathan; Thomas M. Deserno (Sensors, 2022)

Printed and Flexible ECG Electrodes Attached to the Steering Wheel for Continuous Health Monitoring during Driving. - Joana M. Warnecke; Nagarajan Ganapathy; Eugen Koch; Andreas Dietzel; Maximilian Flormann; Roman Henze; Thomas M. Deserno (Sensors, 2022)

Assessment of Driver's Stress using Multimodal Biosignals and Regularized Deep Kernel Learning. - Vishal Singh Roha; Nagarajan Ganapathy; Nicolai Spicher; Sriparna Saha 001; Thomas M. Deserno (EMBC, 2023)

Identifying the Optimal Location of Facial EMG for Emotion Detection Using Logistic Regression. - Praveen Kumar Sriram Kumar Pa Govarthan; Swarubini PJ; Mythili Aasaithambi; Nagarajan Ganapathy; Karthik P. A.; Deepesh Kumar; Jac Fredo Agastinose Ronickom (ICIMTH, 2023)

Automated Emotion Recognition System Using Blood Volume Pulse and XGBoost Learning. - Lokesh Naidu Lebaka; Praveen Kumar Sriram Kumar Pa Govarthan; Priya Rani; Nagarajan Ganapathy; Jac Fredo Agastinose Ronickom (ICIMTH, 2023)

Comparative Analysis of Electrodermal Activity Decomposition Methods in Emotion Detection Using Machine Learning. - Sriram Kumar P; Praveen Kumar Govarthan; Nagarajan Ganapathy; Jac Fredo Agastinose Ronickom (MIE, 2023)

Classifying Driver Distraction with Textile Electrocardiograms. - Kaveti Pavan; Vishal Singh Roha; Tomohiko Igasaki; P. A. Karthick; Digvijay S. Pawar; Nagarajan Ganapathy (EMBC, 2024)

Enhanced Driver Stress Prediction from Multiple Biosignals via CNN Encoder-Decoder Model. - Vishal Singh Roha; Maggie Ezzat Gaber Gendy; Kaveti Pavan; Thomas M. Deserno; Nagarajan Ganapathy; Mehmet R. Yuce (EMBC, 2024)

Radar-Based Elderly Fall Detection Using Smoothed Pseudo Wigner Ville Distribution and XGBoost Learning. - Nagarajan Ganapathy (MIE, 2024)

Automated Assessment of Driver Distraction Using Multimodal Wearable Data and Squeeze-Excitation Networks. - Nagarajan Ganapathy (MIE, 2024)

Assessment of Valance Emotional State Using EEG-EDA Coupling and Explainable Classifiers. - Himanshu Kumar; Nagarajan Ganapathy; Ramakrishnan Swaminathan (MIE, 2024)

Multimodal Signal Fusion for Heartbeat Monitoring on eScooters. - Himanshu Singh; Joana M. Warnecke; Alexander Picker; Nagarajan Ganapathy; Thomas M. Deserno (MIE, 2024)

Exploring Central-Peripheral Nervous System Interaction Through Multimodal Biosignals: A Systematic Review. - Sourabh Banik; Himanshu Kumar; Nagarajan Ganapathy; Ramakrishnan Swaminathan (IEEE Access, 2024)

Advanced Classifiers and Feature Reduction for Accurate Insomnia Detection Using Multimodal Dataset. - Ameya Chatur; Mostafa Haghi 001; Nagarajan Ganapathy; Nima TaheriNejad; Ralf Seepold; Natividad Martínez Madrid (IEEE Access, 2024)

Comparison of Electrodermal Activity Signal Decomposition Techniques for Emotion Recognition. - Yedukondala Rao Veeranki; Nagarajan Ganapathy; Ramakrishnan Swaminathan; Hugo F. Posada-Quintero (IEEE Access, 2024)

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. - Remya R. Nair; P. A. Karthick; Nagarajan Ganapathy; G. Venugopal (Biomed. Signal Process. Control., 2024)

A Multimodal Approach For Endoscopic VCE Image Classification Using BiomedCLIP-PubMedBERT. - Nagarajan Ganapathy; Podakanti Satyajith Chary; Teja Venkata Ramana Kumar Pithani; Pavan Kavati; Arun Kumar S (CoRR, 2024)

Emotion classification using electrocardiogram and machine learning: A study on the effect of windowing techniques. - Praveen Kumar Govarthan; Sriram Kumar P; Nagarajan Ganapathy; Jac Fredo Agastinose Ronickom (Expert Syst. Appl., 2024)

Deep Learning-Based Automated Emotion Recognition Using Multimodal Physiological Signals and Time-Frequency Methods. - Sriram Kumar P; Praveen Kumar Govarthan; Abdul Aleem Shaik Gadda; Nagarajan Ganapathy; Jac Fredo Agastinose Ronickom (IEEE Trans. Instrum. Meas., 2024)

Evaluating the effectiveness of machine learning in identifying the optimal facial electromyography location for emotion detection. - Vinay Kumar Barigala; Swarubini PJ; Sriram Kumar P; Nagarajan Ganapathy; Karthik P. A.; Deepesh Kumar; Jac Fredo Agastinose Ronickom (Biomed. Signal Process. Control., 2025)