Assessment of emotional states in EEG signals using multi-frequency power spectrum and functional connectivity patterns-Reference-Cited by-同舟云学术

Assessment of emotional states in EEG signals using multi-frequency power spectrum and functional connectivity patterns

Published:2022-07-11 Issue: Volume: Page:
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Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Kumar Himanshu¹,Ganapathy Nagarajan²,Puthankattil Subha D.³,Swaminathan Ramakrishnan¹

Affiliation:

1. Indian Institute of Technology Madras,Non-Invasive Imaging and Diagnostics (NIID) Laboratory, Biomedical Engineering Group,Department of Applied Mechanics,Chennai,India,600036

2. Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School,Braunschweig,Germany,38106

3. National Institute of Technology Kozhikode,Calicut,India,673601

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871510.pdf?arnumber=9871510

Reference12 articles.

1. Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks

2. EEG based emotion recognition using entropy features and Bayesian optimized random forest

3. DEAP: A Database for Emotion Analysis ;Using Physiological Signals

4. Network neuroscience

5. EEG and emotions: α-peak frequency as a quantifier for happiness

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