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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Bibliographische Detailangaben
Hauptverfasser: Swarubini P. J., Kumar P. Sriram, Kumar Govarthan Praveen, Purkayastha Meghraj, Deb Parbani, Sairam Shivabhijit, Asaithambi Mythili, Agastinose Ronickom Jac Fredo
Format: Artikel
Sprache:English
Veröffentlicht: De Gruyter 2023-09-01
Schriftenreihe:Current Directions in Biomedical Engineering
Schlagworte:
emotion detection
electrocardiogram
time domain features
machine learning
Online Zugang:https://doi.org/10.1515/cdbme-2023-1174

Online

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

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