Extrinsic Finger and Thumb Muscles Command a Virtual Hand to Allow Individual Finger and Grasp Control

Birdwell, J. Alexander; Hargrove, Levi J.; Weir, Richard F.; Kuiken, Todd A.

doi:10.1109/tbme.2014.2344854

Cited by 28 publications

(22 citation statements)

References 45 publications

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“…In general, subjects’ peak use of simultaneous control occurred in the middle of the trial, with greater use of 1-DOF movements at the end. This is similar to previous reports suggesting that subjects tend to use simultaneous control more for gross movements and sequential control for fine positioning [8, 31, 32]. Subjects using linear regression control used fewer 1-DOF movements at the end of the trials than subjects using parallel dual-site control.…”

Section: Discussionsupporting

confidence: 90%

Evaluation of Linear Regression Simultaneous Myoelectric Control Using Intramuscular EMG

Smith

Kuiken

Hargrove

2016

IEEE Trans. Biomed. Eng.

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Goal The objective of this study was to evaluate the ability of linear regression models to decode patterns of muscle co-activation from intramuscular EMG and provide simultaneous myoelectric control of a virtual three DOF wrist/hand system. Performance was compared to the simultaneous control of conventional myoelectric prosthesis methods using intramuscular EMG (parallel dual-site control) – an approach that requires users to independently modulate individual muscles in the residual limb, which can be challenging for amputees. Methods Linear regression control was evaluated in eight able-bodied subjects during a virtual Fitts’ law task, and was compared to performance of eight subjects using parallel dual-site control. An offline analysis also evaluated how different types of training data affected prediction accuracy of linear regression control. Results The two control systems demonstrated similar overall performance; however, the linear regression method demonstrated improved performance for targets requiring use of all three DOFs, whereas parallel dual-site control demonstrated improved performance for targets that required use of only one DOF. Subjects using linear regression control could more easily activate multiple DOFs simultaneously, but often experienced unintended movements when trying to isolate individual DOFs. Offline analyses also suggested that the method used to train linear regression systems may influence controllability. Conclusion and Significance Linear regression myoelectric control using intramuscular EMG provided an alternative to parallel dual-site control for 3-DOF simultaneous control at the wrist and hand. The two methods demonstrated different strengths in controllability, highlighting the tradeoff between providing simultaneous control and the ability to isolate individual DOFs when desired.

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Section: Discussionsupporting

confidence: 90%

Evaluation of Linear Regression Simultaneous Myoelectric Control Using Intramuscular EMG

Smith

Kuiken

Hargrove

2016

IEEE Trans. Biomed. Eng.

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100

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“…This work constitutes a necessary step toward the evaluation of simultaneous control algorithms in amputees and eventual clinical implementation. The parallel dual-site control approach has been frequently proposed for use with implantable myoelectric recording devices (Weir et al, 2009, Merrill et al, 2011, Birdwell, 2012, Tucker and Peteleski, 1977, Stein et al, 1980), many of which are now in development (Weir et al, 2009, Young, 2009, Bercich et al, 2012, McDonnall et al, 2012). …”

Section: Discussionmentioning

confidence: 99%

“…Williams and Kirsch implemented a system similar to parallel dual-site control using head/neck muscles in patients with tetraplegia (Williams and Kirsch, 2008), but found that subjects chose not to control DOFs simultaneously in a 2-DOF Fitts' Law task. Birdwell found that subjects using parallel dual-site control with EMG from extrinsic finger muscles activated two of three DOFs simultaneously in a virtual task (Birdwell, 2012). However, subjects in the current study controlled all three DOFs at the same time (Figs.…”

Section: Discussionmentioning

confidence: 99%

“…However, the few studies of parallel dual-site control have been promising. Studies in able-bodied subjects have demonstrated the potential of this approach with intramuscular EMG to provide simultaneous finger control (Birdwell, 2012). In addition, parallel dual-site control using surface EMG was successfully implemented in above-elbow amputees who had undergone targeted reinnervation (Kuiken et al, 2009)—a surgical procedure that creates new myoelectric control sites.…”

Section: Introductionmentioning

confidence: 99%

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Real-time simultaneous and proportional myoelectric control using intramuscular EMG

2014

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Objective Myoelectric prostheses use electromyographic (EMG) signals to control movement of prosthetic joints. Clinically available myoelectric control strategies do not allow simultaneous movement of multiple degrees of freedom (DOFs); however, the use of implantable devices that record intramuscular EMG signals could overcome this constraint. The objective of this study was to evaluate the real-time simultaneous control of three DOFs (wrist rotation, wrist flexion/extension, and hand open/close) using intramuscular EMG. Approach We evaluated task performance of five able-bodied subjects in a virtual environment using two control strategies with fine-wire EMG: (i) parallel dual-site differential control, which enabled simultaneous control of three DOFs and (ii) pattern recognition control, which required sequential control of DOFs. Main Results Over the course of the experiment, subjects using parallel dual-site control demonstrated increased use of simultaneous control and improved performance in a Fitts' Law test. By the end of the experiment, performance using parallel dual-site control was significantly better (up to a 25% increase in throughput) than when using sequential pattern recognition control for tasks requiring multiple DOFs. The learning trends with parallel dual-site control suggested that further improvements in performance metrics were possible. Subjects occasionally experienced difficulty in performing isolated single-DOF movements with parallel dual-site control but were able to accomplish related Fitts' Law tasks with high levels of path efficiency. Significance These results suggest that intramuscular EMG, used in a parallel dual-site configuration, can provide simultaneous control of a multi-DOF prosthetic wrist and hand and may outperform current methods that enforce sequential control.

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“…This procedure limits the decoding quality of the neural interface because the global EMG is a spatio-temporal summation of action potentials that creates correlations amongst multiple channels and therefore determines an ill posed inverse problem for decoding 20 . Similarly, control methods based on more selective intramuscular EMG recordings have been so far based on global EMG analysis without decoding the contributions of individual motor neurons 21,22 or on a very small number of decoded motor neurons (e.g., two experimentally decoded motor neurons from intramuscular EMG signals in 23 ). Decoupling the neural information contained in the EMG signals, which exactly correspond to the timings of discharge of the efferent nerve fibers, from the shapes of the muscle fiber action potentials would determine a direct interface with the spinal motor neurons.…”

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confidence: 99%

Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation

et al. 2017

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The intuitive control of upper - limb prostheses requires a man/machine interface that directly exploits biological signals. Here, we define and experimentally test an offline man/machine interface that takes advantage of the discharge timings of spinal moto r neurons. The motor - neuron behaviour is identified by deconvolution of the electrical activity of muscles reinnervated by nerves of a missing limb in patients with amputation at the shoulder or humeral level. We mapped the series of motor - neuron discharge s into control commands across multiple degrees of freedom via the offline application of direct proportional control, pattern recognition and musculoskeletal modelling. A series of experiments performed on six patients reveal that the man/machine interfac e has superior offline performance than conventional direct electromyographic control applied after targeted muscle innervation. The combination of surgical procedures, decoding and mapping into effective commands constitutes an interface with the output l ayers of the spinal cord circuitry that allows for the intuitive control of multiple degrees of freedom

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Extrinsic Finger and Thumb Muscles Command a Virtual Hand to Allow Individual Finger and Grasp Control

Cited by 28 publications

References 45 publications

Evaluation of Linear Regression Simultaneous Myoelectric Control Using Intramuscular EMG

Evaluation of Linear Regression Simultaneous Myoelectric Control Using Intramuscular EMG

Real-time simultaneous and proportional myoelectric control using intramuscular EMG

Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation

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