Conference paper
Sliding-window Motion Artifact Rejection for Functional Near-Infrared Spectroscopy
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, v 2010, pp 6567-6570
01 Jan 2010
PMID: 21096508
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Functional Near-Infrared Spectroscopy (fNIR) is an optical brain monitoring technology that tracks changes in hemodynamic responses within the cortex. fNIR uses specific wavelengths of light, introduced at the scalp, to enable the noninvasive measurement of changes in the relative ratios of deoxygenated hemoglobin (deoxy-Hb) and oxygenated hemoglobin (oxy-Hb) during brain activity. This technology allows the design of portable, safe, affordable, noninvasive, and minimally intrusive monitoring systems that can be used to measure brain activity in natural environments, ambulatory and field conditions. However, for such applications fNIR signals can get prone to noise due to motion of the head. Improving signal quality and reducing noise, can be especially challenging for real time applications. Here, we study motion artifact related noise especially due to poor and changing sensor coupling. We have developed a simple and iterative method that can be used to automate the preprocessing of data to identify segments with such noise for exclusion and this method is also suitable for real time applications.
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Details
- Title
- Sliding-window Motion Artifact Rejection for Functional Near-Infrared Spectroscopy
- Creators
- Hasan Ayaz - Drexel University, School of Biomedical Engineering, Science, and Health SystemsMeltem Izzetoglu - Drexel Univ, Sch Biomed Engn Sci & Hlth Syst, Philadelphia, PA 19104 USAPatricia A. Shewokis - Drexel University, School of Biomedical Engineering, Science, and Health SystemsBanu Onaral - Drexel University, School of Biomedical Engineering, Science, and Health Systems
- Publication Details
- 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, v 2010, pp 6567-6570
- Conference
- 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology (Buenos Aires, Argentina, 31 Aug 2010–04 Sep 2010)
- Series
- IEEE Engineering in Medicine and Biology Society Conference Proceedings
- Publisher
- IEEE
- Number of pages
- 4
- Grant note
- DTFA01-00-C-00068; 31-5029862 / U.S. Federal Aviation Administration through BAE Systems Technology Solutions Services Inc.
- Resource Type
- Conference paper
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology); Drexel Solutions Institute; School of Biomedical Engineering, Science, and Health Systems; Health Sciences Division
- Web of Science ID
- WOS:000287964006241
- Scopus ID
- 2-s2.0-78650846449
- Other Identifier
- 1424441234; 9781424441235; 1424441242; 9781424441242; 991014877655304721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Biomedical
- Engineering, Electrical & Electronic