Document Type

Poster

Journal/Book Title/Conference

College of Engineering Senior Design Projects

Publisher

Utah State University

Location

Logan, UT

Publication Date

2017

Abstract

Brain-Computer Interfaces (BCI) have proved to be a major factor in facilitating motor recovery, recovery of hearing and vision loss, and other debilitating conditions and diseases (Nicolas-Alonso, 2012). This is accomplished by measuring neurological signals and interpreting that information into a desired action. The most common method of sensing neurological activity for BCI is by either surface or implanted electrodes that are either prone to unreliability or are dangerously invasive (Alpert, 2008). Part of this unreliability is based on the low specificity of the electrode method, requiring many pairs of electrodes to accurately detect signals in a particular area. By utilizing information from other, more difficult to read areas of the nervous system, such as the spinal cord, a greater level of specificity can be achieved.

Included in

Engineering Commons

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