Motion artifact removal in FNIR spectroscopy for real world applications

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

Research output: Contribution to journalConference article

5 Scopus citations

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.

Original languageEnglish (US)
Article number30
Pages (from-to)224-229
Number of pages6
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume5588
DOIs
Publication statusPublished - Dec 1 2004
EventSmart Medical and Biomedical Sensor Technology II - Philadelphia, PA, United States
Duration: Oct 25 2004Oct 26 2004

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All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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