Abstract
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 language | English |
|---|---|
| Title of host publication | 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012 |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 4567-4570 |
| Number of pages | 4 |
| ISBN (Print) | 9781424441198 |
| DOIs | |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | International Conference of the IEEE Engineering in Medicine and Biology Society 2012 - Hilton San Diego Bayfront, San Diego, United States of America Duration: 28 Aug 2012 → 1 Sep 2012 Conference number: 34 |
Conference
| Conference | International Conference of the IEEE Engineering in Medicine and Biology Society 2012 |
|---|---|
| Abbreviated title | EMBC 2012 |
| Country | United States of America |
| City | San Diego |
| Period | 28/08/12 → 1/09/12 |
Cite this
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Development of a closed-loop feedback system for real-time control of a high-dimensional brain machine interface. / Putrino, David; Wong, Yan T.; Vigeral, Mariana; Pesaran, Bijan.
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012. IEEE, Institute of Electrical and Electronics Engineers, 2012. p. 4567-4570 6346983.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
TY - GEN
T1 - Development of a closed-loop feedback system for real-time control of a high-dimensional brain machine interface
AU - Putrino, David
AU - Wong, Yan T.
AU - Vigeral, Mariana
AU - Pesaran, Bijan
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84870812471&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2012.6346983
DO - 10.1109/EMBC.2012.6346983
M3 - Conference Paper
SN - 9781424441198
SP - 4567
EP - 4570
BT - 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
PB - IEEE, Institute of Electrical and Electronics Engineers
ER -