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Proceedings Paper

Motion artifact removal in FNIR spectroscopy for real-world applications
Author(s): Ajit Devaraj; Meltem Izzetoglu; Kurtulus Izzetoglu; Scott C. Bunce; Connie Y. Li; Banu Onaral
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Paper Abstract

Near infrared spectroscopy as a neuroimaging modality is a recent development. Near infrared neuroimagers are typically safe, portable, relatively affordable and non-invasive. The ease of sensor setup and non-intrusiveness make functional near infrared (fNIR) imaging an ideal candidate for monitoring human cortical function in a wide range of real world situations. However optical signals are susceptible to motion-artifacts, hindering the application of fNIR in studies where subject mobility cannot be controlled. In this paper, we present a filtering framework for motion-artifact cancellation to facilitate the deployment of fNIR imaging in real-world scenarios. We simulate a generic field environment by having subjects walk on a treadmill while performing a cognitive task and demonstrate that measurements can be effectively cleaned of motion-artifacts.

Paper Details

Date Published: 7 December 2004
PDF: 6 pages
Proc. SPIE 5588, Smart Medical and Biomedical Sensor Technology II, (7 December 2004); doi: 10.1117/12.573878
Show Author Affiliations
Ajit Devaraj, Drexel Univ. (United States)
Meltem Izzetoglu, Drexel Univ. (United States)
Kurtulus Izzetoglu, Drexel Univ. (United States)
Scott C. Bunce, Drexel Univ. (United States)
Connie Y. Li, Univ. of Pennsylvania (United States)
Banu Onaral, Drexel Univ. (United States)


Published in SPIE Proceedings Vol. 5588:
Smart Medical and Biomedical Sensor Technology II
Brian M. Cullum, Editor(s)

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