Restoration of whole body movement: Toward a noninvasive brain-machine interface system

José L. Contreras-Vidal, Alessandro Presacco, Harshavardhan Agashe, Andrew Paek

Research output: Contribution to journalArticle

17 Scopus citations

Abstract

This article highlights recent advances in the design of noninvasive neural interfaces based on the scalp electroencephalogram (EEG). The simplest of physical tasks, such as turning the page to read this article, requires an intense burst of brain activity. It happens in milliseconds and requires little conscious thought. But for amputees and stroke victims with diminished motor-sensory skills, this process can be difficult or impossible. Our team at the University of Maryland, in conjunction with the Johns Hopkins Applied Physics Laboratory (APL) and the University of Maryland School of Medicine, hopes to offer these people newfound mobility and dexterity. In separate research thrusts, were using data gleaned from scalp EEG to develop reliable brainmachine interface (BMI) systems that could soon control modern devices such as prosthetic limbs or powered robotic exoskeletons.

Original languageEnglish (US)
Article number6153109
Pages (from-to)34-37
Number of pages4
JournalIEEE Pulse
Volume3
Issue number1
DOIs
StatePublished - Jan 2012

ASJC Scopus subject areas

  • Biomedical Engineering

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