Study of emotion-based neurocardiology through wearable systems

Mouli Ramasamy; Vijay Varadan

doi:10.1117/12.2219525

21 July 2016 Study of emotion-based neurocardiology through wearable systems

Mouli Ramasamy, Vijay Varadan

Proceedings Volume 9802, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2016; 98021A (2016) https://doi.org/10.1117/12.2219525
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2016, Las Vegas, Nevada, 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 phenomena. 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 modalities 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.

Citation Download Citation

Mouli Ramasamy and Vijay Varadan "Study of emotion-based neurocardiology through wearable systems", Proc. SPIE 9802, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2016, 98021A (21 July 2016); https://doi.org/10.1117/12.2219525

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