Study of heart-brain interactions through EEG, ECG, and emotions

Mouli Ramasamy; Vijay K. Varadan

doi:10.1117/12.2264371

24 April 2017 Study of heart-brain interactions through EEG, ECG, and emotions

Mouli Ramasamy, Vijay K. Varadan

Proceedings Volume 10167, Nanosensors, Biosensors, Info-Tech Sensors and 3D Systems 2017; 101670I (2017) https://doi.org/10.1117/12.2264371
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2017, Portland, Oregon, United States

Abstract

Neurocardiology is the exploration of neurophysiological, neurological and neuroanatomical facets of neuroscience’s influence in cardiology. The paraphernalia of emotions on the heart and brain are premeditated because of the interaction between the central and peripheral nervous system. This is an investigative attempt to study emotion based neurocardiology and the factors that influence this phenomenon. The factors include: interaction between sleep EEG (electroencephalogram) and ECG (electrocardiogram), relationship between emotion and music, psychophysiological coherence between the heart and brain, emotion recognition techniques, and biofeedback mechanisms. Emotions contribute vitally to the mundane life and are quintessential to a numerous biological and everyday-functional modality of a human being. Emotions are best represented through EEG signals, and to a certain extent, can be observed through ECG and body temperature. Confluence of medical and engineering science has enabled the monitoring and discrimination of emotions influenced by happiness, anxiety, distress, excitement and several other factors that influence the thinking patterns and the electrical activity of the brain. Similarly, HRV (Heart Rate Variability) widely investigated for its provision and discerning characteristics towards EEG and the perception in neurocardiology.

Conference Presentation

Citation Download Citation

Mouli Ramasamy and Vijay K. Varadan "Study of heart-brain interactions through EEG, ECG, and emotions", Proc. SPIE 10167, Nanosensors, Biosensors, Info-Tech Sensors and 3D Systems 2017, 101670I (24 April 2017); https://doi.org/10.1117/12.2264371

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