7 December 2004 Motion artifact removal in FNIR spectroscopy for real-world applications
Author Affiliations +
Proceedings Volume 5588, Smart Medical and Biomedical Sensor Technology II; (2004) https://doi.org/10.1117/12.573878
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ajit Devaraj, Ajit Devaraj, Meltem Izzetoglu, Meltem Izzetoglu, Kurtulus Izzetoglu, Kurtulus Izzetoglu, Scott C. Bunce, Scott C. Bunce, Connie Y. Li, Connie Y. Li, Banu Onaral, Banu Onaral, } "Motion artifact removal in FNIR spectroscopy for real-world applications", Proc. SPIE 5588, Smart Medical and Biomedical Sensor Technology II, (7 December 2004); doi: 10.1117/12.573878; https://doi.org/10.1117/12.573878

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