Suivre
Praveen Kumar Govarthan
Praveen Kumar Govarthan
PhD. Research Scholar, Department of Applied Mechanics and Biomedical Engineering, IIT Madras, India
Adresse e-mail validée de smail.iitm.ac.in
Titre
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Année
A comparative analysis of eda decomposition methods for improved emotion recognition
PS Kumar, PK Govarthan, N GANAPATHY, JACFA RONICKOM
Journal of Mechanics in Medicine and Biology 23 (06), 2340043, 2023
92023
Electrodermal activity-based analysis of emotion recognition using temporal-morphological features and machine learning algorithms
P Sriram Kumar, PK Govarthan, N Ganapathy, JFA Ronickom
Journal of Mechanics in Medicine and Biology 23 (06), 2340044, 2023
92023
Deep Learning Framework for Categorical Emotional States Assessment Using Electrodermal Activity Signals
PK Govarthan, N Ganapathy, A Ronickom, J Fredo
InHealthcare Transformation with Informatics and Artificial Intelligence, 40-43, 2023
32023
Composite blades for lower extremity amputees
V Srinivasan, PK Govarthan, SO Prakash, D Munirathinam
IOP Conference Series: Materials Science and Engineering 1258 (1), 012044, 2022
32022
Identifying the Optimal Location of Facial EMG for Emotion Detection Using Logistic Regression
J Mantas
Healthcare Transformation with Informatics and Artificial Intelligence 305, 81, 2023
22023
An External Aid for Amyotrophic Lateral Sclerosis (ALS) and Drooping Head Syndrome (DHS) Patients
V Srinivasan, P Govarthan, D Munirathnam
Journal of Physics: Conference Series 1921 (1), 012004, 2021
22021
Wireless Real-Time Electrogastrography Monitoring System
GP Kumar, SO Prakash, B Sangeetha, R Asha, L Suganthi, B Divya
Journal of Computational and Theoretical Nanoscience 17 (8), 3724-3732, 2020
22020
A feasibility study on using EEG for biometric trait authentication system
D Jeswani, P Kumar Govarthan, A Selvaraj, C Bobby Thomas, J Thomas, ...
Current Directions in Biomedical Engineering 9 (1), 690-693, 2023
12023
Comparative analysis of electrodermal activity decomposition methods in emotion detection using machine learning
JFA RONICKOM
Caring is Sharing—Exploiting the Value in Data for Health and Innovation …, 2023
12023
Differential Gene Expression Data Analysis of ASD Using Random Forest
S MUKHERJEE, JFA RONICKOM
CARING IS SHARING–EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION, 1047, 2023
12023
Establishment of Three Gene Prognostic Markers in Pancreatic Ductal Adenocarcinoma Using Machine Learning Approach
P Pragya, PK Govarthan, M Nayak, S Mukherjee, ...
Journal of Medical and Biological Engineering, 1-9, 2024
2024
Investigating Windowing Techniques in Emotion Classification with ECG and Machine Learning
PK Govarthan, PS Kumar, N Ganapathy, JFA Ronickom
2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine …, 2023
2023
Deep Learning-Based Diagnosis of ASD Using Pre-Trained Convolutional Neural Network
S Nivedhitha, MV Akshaya, PK Govarthan, R Munirathnam, ...
2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine …, 2023
2023
ECG based Categorical emotion classification using time-domain features and Machine Learning
PJ Swarubini, S Kumar P, P Kumar Govarthan, M Purkayastha, P Deb, ...
Current Directions in Biomedical Engineering 9 (1), 694-697, 2023
2023
Automated Emotion Recognition System Using Blood Volume Pulse and XGBoost Learning
J Mantas
Healthcare Transformation with Informatics and Artificial Intelligence 305, 52, 2023
2023
Low Valence Low Arousal Stimuli: An Effective Candidate for EEG-Based Biometrics Authentication System.
J Jeswani, PK Govarthan, A Selvaraj, A Prince, J Thomas, M Kalathe, ...
Studies in Health Technology and Informatics 302, 257-261, 2023
2023
An External Aid for Amyotrophic Lateral Sclerosis (ALS) and Drooping Head Syndrome (DHS) Patients
DM Viswanath Srinivasan, Praveen kumar Govarthan
Journal of Physics: Conference Series 1921, 1-14, 2021
2021
ECG based Categorical emotion classification using time-domain features and Machine Learning
S PJ, P Sriram Kumar, PK Govarthan, M Purkayastha, P Deb, S Sairam, ...
Emotion Classification using Electrocardiogram and Machine Learning: A Study on the Effect of Windowing Techniques
PK Govarthan, N Ganapathy, JF AR
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Articles 1–19