Concurrent EEG And NIRS Tomographic Imaging Based on Wearable Electro-Optodes
Abstract
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 13, 2014
- Accession Number
- ADA603612
Entities
People
- Jeng-ren Duann
- Jin-chern Chiou
- Tzyy-Ping Jung
Organizations
- University of California, San Diego