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iDEA: Drexel E-repository and Archives > Drexel Academic Community > School of Biomedical Engineering, Science & Health Systems > Biomedical Technology Showcase, 2006 > Brain computer interface using fNIR: a tool for those individuals suffering Amyotrophic Lateral Sclerosis (ALS) or various types of paralysis

Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/980

Title: Brain computer interface using fNIR: a tool for those individuals suffering Amyotrophic Lateral Sclerosis (ALS) or various types of paralysis
Authors: Ayaz, Hasan
Heiman-Patterson, Terry
Schultheis, Maria T.
Izzetoglu, Meltem
Onaral, Banu
Keywords: Neuroengineering
Issue Date: 2006
Citation: Poster presented at Biomedical Technology Showcase 2006, Philadelphia, PA. Retrieved 18 Aug 2006 from http://www.biomed.drexel.edu/new04/Content/Biomed_Tech_Showcase/Poster_Presentations/Onaral_2.pdf.
Abstract: The ideal non-invasive brain computer interface (BCI) transforms signals originating from human brain into commands that can control devices and applications. This has significant advantage for those individuals suffering from neuromuscular impairments such as Amyotrophic Lateral Sclerosis (ALS) or various types of paralysis. In this study we propose to design a new noninvasive BCI that is based on optical means to measure brain activity as opposed to traditional EEG (Electroencephalogram) based approach. Proposed system will use functional near infrared (fNIR) spectroscopy to detect cognitive activity from prefrontal cortex elicited by a mental task. Efficacy of the proposed design will initially be studied on healthy individuals at Optical Brain Imaging Lab and later on ALS patients at Drexel College of Medicine.
Description: Item from the Biomedical Technology Showcase held July 20, 2006 at Drexel University's Bossone Research Enterprise Center.
URI: http://hdl.handle.net/1860/980
Appears in Collections:Biomedical Technology Showcase, 2006

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