Motion artifact removal in FNIR spectroscopy for real-world applications

Ajit Devaraj; Meltem Izzetoglu; Kurtulus Izzetoglu; Scott C. Bunce; Connie Y. Li; Banu Onaral

doi:10.1117/12.573878

7 December 2004 Motion artifact removal in FNIR spectroscopy for real-world applications

Ajit Devaraj, Meltem Izzetoglu, Kurtulus Izzetoglu, Scott C. Bunce, Connie Y. Li, Banu Onaral

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

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.

Citation Download Citation

Ajit Devaraj, Meltem Izzetoglu, Kurtulus Izzetoglu, Scott C. Bunce, Connie Y. Li, and 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); https://doi.org/10.1117/12.573878

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