Paper
9 December 2015 Real-time system for extracting and monitoring the cerebral functional component during fNIRS measurements
Toru Yamada, Mitsuo Ohashi, Shinji Umeyama
Author Affiliations +
Proceedings Volume 9792, Biophotonics Japan 2015; 979219 (2015) https://doi.org/10.1117/12.2204771
Event: SPIE/OSJ Biophotonics Japan, 2015, Tokyo, Japan
Abstract
Functional near-infrared spectroscopy (fNIRS) can non-invasively detect hemodynamic changes associated with cerebral neural activation in human subjects. However, its signal is often affected by changes in the optical characteristics of tissues in the head other than brain. To conduct fNIRS measurements precisely and efficiently, the extraction and realtime monitoring of the cerebral functional component is crucial. We previously developed methods for extracting the cerebral functional component—the multidistance optode arrangement (MD) method and the hemodynamic modality separation (HMS) method. In this study, we implemented these methods in a software used with the fNIRS system OEG- 17APD (Spectratech, Japan), and realized a real-time display of the extracted results. When using this system for human subject experiments, the baselines obtained with the MD and HMS methods were highly stabilized, whereas originally, the fNIRS signal fluctuated significantly when the subject moved. Through a functional experiment with repetitive single-sided hand clasping tasks, the extracted signals showed distinctively higher reproducibility than that obtained in the conventional measurements.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Toru Yamada, Mitsuo Ohashi, and Shinji Umeyama "Real-time system for extracting and monitoring the cerebral functional component during fNIRS measurements", Proc. SPIE 9792, Biophotonics Japan 2015, 979219 (9 December 2015); https://doi.org/10.1117/12.2204771
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KEYWORDS
Hemodynamics

Software development

Near infrared spectroscopy

Head

Real-time computing

Switches

Human subjects

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