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Brain Signals Analysis during Meditation and Problem Solving

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dc.contributor.author AlHassan, Hussain
dc.contributor.author Gupta, Navarun
dc.date.accessioned 2015-06-23T18:38:55Z
dc.date.available 2015-06-23T18:38:55Z
dc.date.issued 2015-04-30
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1232
dc.description © ASEE 2015
dc.description.abstract Improving performance is one of the hot topics in every industry. Researchers are working on many perspectives to achieve ideal results to improve performance. Some of them study external factors while others focus on internal factors regarding performance. They consider it an essential base to affect subject productivity. However, relaxation, calming down, and confidence play major roles in refining the efficiency of people’s productivity. This paper concentrates on the internal factors of individuals observing their performance during activity. It then analyzes brain signals during meditation and solving math problems by observing signals from the cerebral cortex of the participant using electroencephalography (EEG). Mastering the subconscious leads to improving subject productivity and performance. A person can change their habits and better themselves without using chemicals or drugs, and everything depends on a self-anchor. Meditation gives direct access to hidden power and forces the mind to act differently to gain strength reducing pain and stress and can be a self-anchor. en_US
dc.language.iso en_US en_US
dc.publisher ASEE en_US
dc.subject Electroencephalography (EEG) en_US
dc.subject Meditation en_US
dc.subject Stress en_US
dc.subject Relaxation en_US
dc.subject Internal factors en_US
dc.title Brain Signals Analysis during Meditation and Problem Solving en_US
dc.type Article en_US
dc.event.location Boston, MA en_US
dc.event.name 2015 Northeast Section Conference of the American Society for Engineering Education (ASEE) en_US

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