Development of a closed-loop feedback system for real-time control of a high-dimensional brain machine interface

David Putrino, Yan T. Wong, Mariana Vigeral, Bijan Pesaran

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)


As the field of neural prosthetics advances, Brain Machine Interface (BMI) design requires the development of virtual prostheses that allow decoding algorithms to be tested for efficacy in a time- and cost-efficient manner. Using an x-ray and MRI-guided skeletal reconstruction, and a graphic artist's rendering of an anatomically correct macaque upper limb, we created a virtual avatar capable of independent movement across 27 degrees-of-freedom (DOF). Using a custom software interface, we animated the avatar's movements in real-time using kinematic data acquired from awake, behaving macaque subjects using a 16 camera motion capture system. Using this system, we demonstrate real-time, closed-loop control of up to 27 DOFs in a virtual prosthetic device. Thus, we describe a practical method of testing the efficacy of high-complexity BMI decoding algorithms without the expense of fabricating a physical prosthetic.

Original languageEnglish
Title of host publication2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Print)9781424441198
Publication statusPublished - 2012
Externally publishedYes
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2012 - Hilton San Diego Bayfront, San Diego, United States of America
Duration: 28 Aug 20121 Sep 2012
Conference number: 34th


ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2012
Abbreviated titleEMBC 2012
CountryUnited States of America
CitySan Diego

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