Concurrent EEG And NIRS Tomographic Imaging Based on Wearable Electro-Optodes
Final rept. 15 Sep 2009-14 Sep 2013
CALIFORNIA UNIV SAN DIEGO LA JOLLA
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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 EEGNIRS electrodes, known as electro-opodes, and miniaturized supporting hardwaresoftware. 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.
- Medicine and Medical Research
- Electrooptical and Optoelectronic Devices