Conference proceeding
Detecting cognitive activity related hemodynamic signal for brain computer interface using functional near infrared spectroscopy
2007 3rd International IEEE/EMBS Conference on Neural Engineering, pp 342-345
May 2007
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The ideal non-invasive brain computer interface (BCI) transforms signals originating from human brain into commands that can control devices and applications. Hence, BCI provides a way for brain output that does not involve neuromuscular system. This represents an 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 by monitoring hemodynamic response. The proposed system uses functional near infrared (fNIR) spectroscopy to detect cognitive activity from prefrontal cortex elicited voluntarily by performing a mental task namely N-back test. Our findings indicate that fNIR signal correlates with cognitive tasks associated with working memory. These experimental outcomes compare favorably with previous functional magnetic resonance imaging (fMRI) and complement electroencephalogram (EEG) findings. Since fNIR can be implemented in the form of a wearable and minimally intrusive device, it also has the capacity to monitor brain activity under real life conditions in everyday environments leading the way to potential applications of fNIR in BCI development for communication and entertainment purposes.
Metrics
Details
- Title
- Detecting cognitive activity related hemodynamic signal for brain computer interface using functional near infrared spectroscopy
- Creators
- Hasan Ayaz (Author) - Drexel UniversityMeltem Alkan Izzetoglu (Author) - Drexel UniversityScott Bunce (Author) - Drexel UniversityTerry Heiman-Patterson (Author) - Drexel UniversityBanu Onaral (Author) - Drexel University
- Publication Details
- 2007 3rd International IEEE/EMBS Conference on Neural Engineering, pp 342-345
- Conference
- 2007 3rd International IEEE/EMBS Conference on Neural Engineering, 3rd (Kohala Coast, Hawaii, United States, 02 May 2007–05 May 2007)
- Series
- International IEEE/EMBS Conference on Neural Engineering, CNE
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000248513500085
- Scopus ID
- 2-s2.0-34548717611
- Other Identifier
- 991014632387204721
UN Sustainable Development Goals (SDGs)
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Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Electrical & Electronic
- Nanoscience & Nanotechnology
- Neurosciences