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ERIC Number: EJ1091169
Record Type: Journal
Publication Date: 2016-Mar
Pages: 4
Abstractor: ERIC
ISBN: N/A
ISSN: ISSN-1043-4046
EISSN: N/A
Open-Box Muscle-Computer Interface: Introduction to Human-Computer Interactions in Bioengineering, Physiology, and Neuroscience Courses
Landa-Jiménez, M. A.; González-Gaspar, P.; Pérez-Estudillo, C.; López-Meraz, M. L.; Morgado-Valle, C.; Beltran-Parrazal, L.
Advances in Physiology Education, v40 n1 p119-122 Mar 2016
A Muscle-Computer Interface (muCI) is a human-machine system that uses electromyographic (EMG) signals to communicate with a computer. Surface EMG (sEMG) signals are currently used to command robotic devices, such as robotic arms and hands, and mobile robots, such as wheelchairs. These signals reflect the motor intention of a user before the actual movement. In this article, the authors describe the design and construction of a simple, low-cost muCI as a didactic tool to help students understand electrophysiological concepts. The presentation was designed in a friendly format consisting of a theoretical explanation and a practical demonstration. The theoretical part was provided by the physiology teacher. Students had a short explanation about muscle physiology, the motor unit, and EMG signals. In the practical demonstration, students learned how a simple muCI works and used the muCI to control a robot using their own muscle contractions.
American Physiological Society. 9650 Rockville Pike, Bethesda, MD 20814-3991. Tel: 301-634-7164; Fax: 301-634-7241; e-mail: webmaster@the-aps.org; Web site: http://advan.physiology.org/
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A