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Brain computer interface using fNIR: a tool for those individuals suffering Amyotrophic Lateral Sclerosis (ALS) or various types of paralysis
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http://hdl.handle.net/1860/980
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| 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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