NDLI: Non-Invasive Hybrid Sensory System for Direct Brain Control of Artificial Limbs

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Rahmat, A. Shoureshi Christopher, M. Aasted Sarusi, Benjamin
Copyright Year	2010
Abstract	Current commercially available motorized replacement limbs rely on the activation of remaining muscle tissue or a different portion of the body to operate joints in the prosthetic, which requires training to use and may never feel natural. Research to improve artificial limb technology is focused on using implants to monitor electrical activity in the nervous system or rerouting nerve endings to healthy muscle tissue, both of which require a medical procedure to be performed. This paper presents results of research which has been focused on the feasibility of using a non-invasive prosthetic control system that utilizes a hybrid of feedforward and feedback sensors. This research examines the correlation between brain activity across the primary motor cortex and muscle activity during upper body limb movement. The hybrid sensory system is composed of an optical imager for the detection of localized brain activities, electroencephalography (EEG) and electromyography (EMG) sensors. This paper will present design of the sensory system, the proposed control architecture, and human subject results. The improved accuracy of the brain intention determination algorithm as well as integration with a learning control loop will be presented and discussed.
Sponsorship	Dynamic Systems and Control Division
Starting Page	373
Ending Page	380
Page Count	8
File Format	PDF
ISBN	9780791844175
DOI	10.1115/DSCC2010-4183
e-ISBN	9780791838846
Volume Number	ASME 2010 Dynamic Systems and Control Conference, Volume 1
Conference Proceedings	ASME 2010 Dynamic Systems and Control Conference
Language	English
Publisher Date	2010-09-12
Publisher Place	Cambridge, Massachusetts, USA
Access Restriction	Subscribed
Subject Keyword	Artificial limbs Brain Biological tissues Control systems Motors Nervous system Electroencephalography Engines Design Algorithms Biomedicine Feedback Feedforward control Muscle Electromyography Sensors
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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