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GENERAL-PURPOSE FILTER DESIGN FOR NEURAL PROSTHETIC DEVICES LAKSHMINARAYAN SRINIVASAN (2008)

Abstract
Brain-driven interfaces depend on estimation procedures to convert neural signals to inputs for prosthetic devices that can assist individuals with severe motor deficits. Previous estimation procedures were developed on an application-specific basis. Here we report a coherent estimation framework that unifies these procedures and motivates new applications of prosthetic devices driven by action potentials, local field potentials (LFP), electrocorticography (ECoG), electroencephalography (EEG), electromyography (EMG), or optical methods. The brain-driven interface is described as a probabilistic relationship between neural activity and components of a prosthetic device that may take on discrete or continuous values. A new estimation procedure is developed for action potentials, and a corresponding procedure is described for field potentials and optical measurements.

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.119.3775
Source http://jn.physiology.org/cgi/reprint/01118.2006v1.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Type text
Language English
Relation 10.1.1.134.529, 10.1.1.32.5379, 10.1.1.116.6830, 10.1.1.61.3437, 10.1.1.90.9275, 10.1.1.119.396