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"DTIC ADA603612: Concurrent EEG And NIRS Tomographic Imaging Based On Wearable Electro-Optodes" and the language of the book is English.


“DTIC ADA603612: Concurrent EEG And NIRS Tomographic Imaging Based On Wearable Electro-Optodes” Metadata:

  • Title: ➤  DTIC ADA603612: Concurrent EEG And NIRS Tomographic Imaging Based On Wearable Electro-Optodes
  • Author: ➤  
  • Language: English

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  • Internet Archive ID: DTIC_ADA603612

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"DTIC ADA603612: Concurrent EEG And NIRS Tomographic Imaging Based On Wearable Electro-Optodes" Description:

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This study aims to design, develop, and test a portable, lightweight, noninvasive neuroimaging system that supports simultaneous electroencephalogram (EEG) and functional NIR spectroscopic (fNIRS) acquisition for biological or cognitive neuroscience studies in operational environments. The system features novel EEG/NIRS electrodes, known as electro-opodes, and miniaturized supporting hardware/software. In the past few years, our team, composed of faculty, postdoctoral fellows and graduate students, has designed and developed dry EEG and fNIR sensors that allow non-invasive and non-intrusive acquisition of EEG and fNIR signals. We have also designed the form factor of Electro-optodes that integrates the EEG and fNIR sensors in an elastic cap. We further evaluated the quality of EEG signals acquired by the dry spring-loaded EEG sensors and fNIR sensors through three experiments. This study has also made a lot of progress in designing and developing a data-acquisition VLSI chip that can acquire, amplify, digitize and process EEG and NIRS data. Lastly, to improve the fidelity of the EEG recordings, we have developed and implemented real-time artifact correction algorithms, Artifact Subspace Reconstruction, for online and real-time rejection of artifacts that often contaminate EEG signals recorded in real-world environments.

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  • Source: Internet Archive
  • Internet Archive Link: Archive.org page
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  • Number of Files: 16
  • Number of Available Files: 16
  • Added Date: 2018-09-21 22:29:43
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