Multimodal imaging integrating structural and functional information
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Author/Creator ORCID
Date
2020-04-16
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Citation of Original Publication
Jean-Paul Badjo, Po-Wei Tu, Multimodal imaging integrating structural and functional information, Proceedings Volume 11226, Neural Imaging and Sensing 2020; 112261V (2020) https://doi-org.proxy-bc.researchport.umd.edu/10.1117/12.2550521
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©2020 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
©2020 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Subjects
Abstract
This study aims to create a neurofeedback system and observe whether wearing this system assists participants in consciously changing their state of mind. Brainwaves are produced by synchronized electrical pulses from masses of neurons communicating with each other. Through the use of a Neurosky Electroencephalogram (EEG) biosensor, we can detect the brainwaves that result from neuron activity. Attention and meditation levels are two significant examples of brain activity that are reflected by the human body. Our neurofeedback system can monitor attention and meditation levels that humans are normally unable to sense. The Arduino-medium-developed program records brainwaves as attention and meditation values (eSense meter value). In addition, we constructed a vibration system that provided realtime notification to notify participants when their state of relaxation or concentration changed. With appropriate training, users of the neurofeedback system can develop strategies to control their state of mind successfully.