ECG based Categorical emotion classification using time-domain features and Machine Learning

ECG based Categorical emotion classification using time-domain features and Machine Learning

Emotions are mental states that result from neurophysiological changes associated with thoughts, feelings, and behavioral responses. Emotions lead to modifications in heart rate variability, which can be identified through electrocardiogram (ECG) signals. In this study, we attempted to analyze the E...

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Bibliographic Details
Main Authors: Swarubini P. J., Kumar P. Sriram, Kumar Govarthan Praveen, Purkayastha Meghraj, Deb Parbani, Sairam Shivabhijit, Asaithambi Mythili, Agastinose Ronickom Jac Fredo
Format: Article
Language:English
Published: De Gruyter 2023-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
emotion detection
electrocardiogram
time domain features
machine learning
Online Access:https://doi.org/10.1515/cdbme-2023-1174

Internet

https://doi.org/10.1515/cdbme-2023-1174

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