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Todd A. Kuiken40
Estimated H-index: 40
(Rehabilitation Institute of Chicago),
Laura A. Miller14
Estimated H-index: 14
(Rehabilitation Institute of Chicago)
+ 1 AuthorsLevi J. Hargrove29
Estimated H-index: 29
(Rehabilitation Institute of Chicago)
With existing conventional prosthesis control (direct control), individuals with a transradial amputation use two opposing muscle groups to control each prosthesis motor. As component complexity increases, subjects must switch the prosthesis into different modes to control each component in sequence. Pattern recognition control offers the ability to control multiple movements in a seamless manner without switching. In this paper, three individuals with a transradial amputation completed a home t...
Published on Nov 17, 2014in PLOS ONE2.78
Sean Deeny3
Estimated H-index: 3
(NU: Northwestern University),
Caitlin L. Chicoine2
Estimated H-index: 2
(Rehabilitation Institute of Chicago)
+ 2 AuthorsArun Jayaraman17
Estimated H-index: 17
(NU: Northwestern University)
Common goals in the development of human-machine interface (HMI) technology are to reduce cognitive workload and increase function. However, objective and quantitative outcome measures assessing cognitive workload have not been standardized for HMI research. The present study examines the efficacy of a simple event-related potential (ERP) measure of cortical effort during myoelectric control of a virtual limb for use as an outcome tool. Participants trained and tested on two methods of control, ...
Anders Lyngvi Fougner7
Estimated H-index: 7
(NTNU: Norwegian University of Science and Technology),
Erik Scheme10
Estimated H-index: 10
(UNB: University of New Brunswick)
+ 2 AuthorsØyvind Stavdahl22
Estimated H-index: 22
(NTNU: Norwegian University of Science and Technology)
Reported studies on pattern recognition of electromyograms (EMG) for the control of prosthetic devices traditionally focus on classification accuracy of signals recorded in a laboratory. The difference between the constrained nature in which such data are often collected and the unpredictable nature of prosthetic use is an example of the semantic gap between research findings and a viable clinical implementation. In this paper, we demonstrate that the variations in limb position associated with ...
Published on Aug 1, 2011in IEEE Transactions on Biomedical Engineering4.49
Ann M. Simon17
Estimated H-index: 17
(Rehabilitation Institute of Chicago),
Levi J. Hargrove29
Estimated H-index: 29
(Rehabilitation Institute of Chicago)
+ 1 AuthorsTodd A. Kuiken40
Estimated H-index: 40
(Rehabilitation Institute of Chicago)
Real-time pattern recognition control is frequently affected by misclassifications. This study investigated the use of a decision-based velocity ramp that attenuated movement speed after a change in classifier decision. The goal was to improve prosthesis positioning by minimizing the effect of unintended movements. Nonamputee and amputee subjects controlled a prosthesis in real time using pattern recognition. While performing a target achievement test in a virtual environment, subjects had a sig...
Lauren H. Smith11
Estimated H-index: 11
(NU: Northwestern University),
Levi J. Hargrove29
Estimated H-index: 29
(Rehabilitation Institute of Chicago)
+ 1 AuthorsTodd A. Kuiken40
Estimated H-index: 40
(Rehabilitation Institute of Chicago)
Pattern recognition-based control of myoelectric prostheses has shown great promise in research environments, but has not been optimized for use in a clinical setting. To explore the relationship between classification error, controller delay, and real-time controllability, 13 able-bodied subjects were trained to operate a virtual upper-limb prosthesis using pattern recognition of electromyogram (EMG) signals. Classification error and controller delay were varied by training different classifier...
Ann M. Simon17
Estimated H-index: 17
,
Levi J. Hargrove29
Estimated H-index: 29
+ 1 AuthorsTodd A. Kuiken40
Estimated H-index: 40
(NU: Northwestern University)
Despite high classification accuracies (~95%) of myoelectric control systems based on pattern recognition, how well offline measures translate to real-time closed-loop control is unclear. Recently, a real-time virtual test analyzed how well subjects completed arm motions using a multiple-degree of freedom (DOF) classifier. Although this test provided real-time performance metrics, the required task was oversimplified: motion speeds were normalized and unintended movements were ignored. We includ...
Published on Aug 1, 2010 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
Erik Scheme16
Estimated H-index: 16
(UNB: University of New Brunswick),
Anders Lyngvi Fougner7
Estimated H-index: 7
(NTNU: Norwegian University of Science and Technology)
+ 2 AuthorsKevin Englehart36
Estimated H-index: 36
(UNB: University of New Brunswick)
Pattern recognition of myoelectric signals for the control of prosthetic devices has been widely reported and debated. A large portion of the literature focuses on offline classification accuracy of pre-recorded signals. Historically, however, there has been a semantic gap between research findings and a clinically viable implementation. Recently, renewed focus on prosthetics research has pushed the field to provide more clinically relevant outcomes. One way to work towards this goal is to exami...
Published on Apr 1, 2008in Biomedical Signal Processing and Control2.94
Levi J. Hargrove29
Estimated H-index: 29
(UNB: University of New Brunswick),
Kevin Englehart36
Estimated H-index: 36
(UNB: University of New Brunswick),
Bernard Hudgins17
Estimated H-index: 17
(UNB: University of New Brunswick)
Abstract Pattern recognition based myoelectric control systems rely on detecting repeatable patterns at given electrode locations. This work describes an experiment to determine the effect of electrode displacements on pattern classification accuracy, and a classifier training strategy to accommodate this degradation. The results show that electrode displacements adversely affect classification accuracy, but training the system to recognize plausible displacement locations mitigates the effect. ...
Published on Mar 1, 2008in Archives of Physical Medicine and Rehabilitation2.70
Kathryn Ziegler-Graham5
Estimated H-index: 5
(St. Olaf College),
E. J. Madkenzie77
Estimated H-index: 77
(Johns Hopkins University)
+ 2 AuthorsRon Brookmeyer68
Estimated H-index: 68
(Johns Hopkins University)
Abstract Ziegler-Graham K, MacKenzie EJ, Ephraim PL, Travison TG, Brookmeyer R. Estimating the prevalence of limb loss in the United States: 2005 to 2050. Objective To estimate the current prevalence of limb loss in the United States and project the future prevalence to the year 2050. Design Estimates were constructed using age-, sex-, and race-specific incidence rates for amputation combined with age-, sex-, and race-specific assumptions about mortality. Incidence rates were derived from the 19...
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