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 language | English (US) |
|---|---|
| Article number | 30 |
| Pages (from-to) | 224-229 |
| Number of pages | 6 |
| Journal | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
| Volume | 5588 |
| DOIs | |
| State | Published - 2004 |
| Event | Smart Medical and Biomedical Sensor Technology II - Philadelphia, PA, United States Duration: Oct 25 2004 → Oct 26 2004 |
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics
- Biomaterials
- Radiology Nuclear Medicine and imaging