The primary goal of this Bioengineering Research Partnership (BRP) is to demonstrate upper limb prosthesis control using our implantable myoelectric sensor (IMES) system in human amputees. By the end of this five year project period we plan to achieve our long term vision of demonstrating individual finger control of a prosthetic hand. The major factor limiting the development of sophisticated hand/arm prostheses remains the difficulty in locating and isolating sufficient numbers of command sources with which to control the many degrees-of-freedom required for a physiologically natural prosthetic hand and/or arm. While surface myoelectric (SEMG) sensing has been used for control of clinically-deployed myoelectric upper-limb prostheses, the use of multiple surface EMG signals as command sources is inherently limited by the gross nature, and lack of stability, of surface EMG signals. We believe that we can create many more EMG control sites by using IMES rather than SEMG electrodes. The primary goals of our previous BRP were to develop a myoelectric control system based upon implantable myoelectric sensors (IMES) and to demonstrate chronic functioning of this system in an animal model. These goals were accomplished. To achieve our new goal of implantation of IMES in humans and demonstration of enhanced prosthesis control, further technical development of our IMES system and human trials will be required.
The specific aims for this BRP proposal are: 1) Optimization of the IMES System to Interface with Clinically Deployable Prostheses: Revise the IMES implant, IMES-TC, and multi-degree-of-freedom prosthesis controller, develop clinician tools to design coils for patients. 2) Qualification Testing of IMES Hardware and FDA Approval: Qualification of IMES Implants, External IMES Hardware, and MDOF Controller;Preparation And Submission Of FDA IDE Application For Use Of IMES In A Human Clinical Trial. 3) Implantation And Testing of The IMES System in Humans: Phase 1 - Demonstration of the IMES System as a Substitute For SEMG Control Of Standard-Of-Care Transradial Myoelectric Hand Prostheses In Transradial Amputees;Phase 2 - Demonstration of the IMES System and MDOF Controller Coordinating Volitional Movements of The Individual Fingers And Thumb of A Prosthetic Hand In Transradial Amputees.

Public Health Relevance

primary goal of this Bioengineering Research Partnership (BRP) is to demonstrate upper limb prosthesis control using our implantable myoelectric sensor (IMES) system in human amputees. By the end of this five year project period we plan to achieve our long term vision of demonstrating individual finger control of a prosthetic hand. The major factor limiting the development of sophisticated hand/arm prostheses remains the difficulty in locating and isolating sufficient numbers of command sources with which to control the many degrees-of-freedom required for a physiologically natural prosthetic hand and/or arm. While surface myoelectric (SEMG) sensing has been used for control of clinically-deployed myoelectric upper-limb prostheses, the use of multiple surface EMG signals as command sources is inherently limited by the gross nature, and lack of stability, of surface EMG signals. We believe that we can create many more EMG control sites by using IMES rather than SEMG electrodes.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB001672-09
Application #
8543601
Study Section
Special Emphasis Panel (ZRG1-MOSS-F (15))
Program Officer
Peng, Grace
Project Start
2003-09-30
Project End
2016-08-31
Budget Start
2013-09-01
Budget End
2014-08-31
Support Year
9
Fiscal Year
2013
Total Cost
$1,195,771
Indirect Cost
$52,058
Name
University of Colorado Denver
Department
Pediatrics
Type
Schools of Medicine
DUNS #
041096314
City
Aurora
State
CO
Country
United States
Zip Code
80045
Li, Xiaowei; Kozielski, Kristen; Cheng, Yu-Hao et al. (2016) Nanoparticle-mediated conversion of primary human astrocytes into neurons and oligodendrocytes. Biomater Sci 4:1100-12
Birdwell, J Alexander; Hargrove, Levi J; Weir, Richard F ff et al. (2015) Extrinsic finger and thumb muscles command a virtual hand to allow individual finger and grasp control. IEEE Trans Biomed Eng 62:218-26
Pasquina, Paul F; Evangelista, Melissa; Carvalho, A J et al. (2015) First-in-man demonstration of a fully implanted myoelectric sensors system to control an advanced electromechanical prosthetic hand. J Neurosci Methods 244:85-93
Cipriani, Christian; Segil, Jacob L; Birdwell, J Alex et al. (2014) Dexterous control of a prosthetic hand using fine-wire intramuscular electrodes in targeted extrinsic muscles. IEEE Trans Neural Syst Rehabil Eng 22:828-36
DeMichele, Glenn A; Hu, Zhe; Troyk, Philip R et al. (2014) Low-power polling mode of the next-generation IMES2 implantable wireless EMG sensor. Conf Proc IEEE Eng Med Biol Soc 2014:3081-4
Troyk, Philip; Hu, Zhe (2013) Simplified design equations for Class-E neural prosthesis transmitters. IEEE Trans Biomed Eng 60:1414-21
Birdwell, J Alexander; Hargrove, Levi J; Kuiken, Todd A et al. (2013) Activation of individual extrinsic thumb muscles and compartments of extrinsic finger muscles. J Neurophysiol 110:1385-92
Birdwell, J Alexander; Hargrove, Levi J; Weir, Richard F ff (2011) Quantification of isolated muscle compartment activity in extrinsic finger muscles for potential prosthesis control sites. Conf Proc IEEE Eng Med Biol Soc 2011:4104-7
Merrill, Daniel R; Lockhart, Joseph; Troyk, Phil R et al. (2011) Development of an implantable myoelectric sensor for advanced prosthesis control. Artif Organs 35:249-52
Farrell, Todd R (2011) Determining delay created by multifunctional prosthesis controllers. J Rehabil Res Dev 48:xxi-xxxviii

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