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Open AccessJournal ArticleDOI

The use of targeted muscle reinnervation for improved myoelectric prosthesis control in a bilateral shoulder disarticulation amputee

TLDR
A novel method for the control of a myoelectric upper limb prosthesis was achieved in a patient with bilateral amputations at the shoulder disarticulation level using the targeted muscle reinnervation.
Abstract
A novel method for the control of a myoelectric upper limb prosthesis was achieved in a patient with bilateral amputations at the shoulder disarticulation level Four independently controlled nerve-muscle units were created by surgically anastomosing residual brachial plexus nerves to dissected and divided aspects of the pectoralis major and minor muscles The musculocutaneous nerve was anastomosed to the upper pectoralis major; the median nerve was transferred to the middle pectoralis major region; the radial nerve was anastomosed to the lower pectoralis major region; and the ulnar nerve was transferred to the pectoralis minor muscle which was moved out to the lateral chest wall After five months, three nerve-muscle units were successful (the musculocutaneous, median and radial nerves) in that a contraction could be seen, felt and a surface electromyogram (EMG) could be recorded Sensory reinnervation also occurred on the chest in an area where the subcutaneous fat was removed The patient was fitted with a new myoelectric prosthesis using the targeted muscle reinnervation The patient could simultaneously control two degrees-of-freedom with the experimental prosthesis, the elbow and either the terminal device or wrist Objective testing showed a doubling of blocks moved with a box and blocks test and a 26% increase in speed with a clothes pin moving test Subjectively the patient clearly preferred the new prosthesis He reported that it was easier and faster to use, and felt more natural

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Citations
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Journal ArticleDOI

Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms.

TL;DR: The results suggest that reinnervated muscles can produce sufficient EMG information for real-time control of advanced artificial arms, as well as improving the function of prosthetic arms.
Journal ArticleDOI

Upper limb prosthesis use and abandonment: A survey of the last 25 years:

TL;DR: An analytical and comparative survey of upper limb prosthesis acceptance and abandonment as documented over the past 25 years is presented, detailing areas of consumer dissatisfaction and ongoing technological advancements.
Journal ArticleDOI

Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use.

TL;DR: The pertinent issues and best practices in EMG pattern recognition are described, the major challenges in deploying robust control are identified, and research directions that may have an effect in the near future are advocated.
Journal ArticleDOI

A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems

TL;DR: A critical overview of the peripheral interfaces available and trace their use from research to clinical application in controlling artificial and robotic prostheses is provided.
Journal ArticleDOI

The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges

TL;DR: The conclusion is that the gap between industry and academia is due to the relatively small functional improvement in daily situations that academic systems offer, despite the promising laboratory results, at the expense of a substantial reduction in robustness.
References
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Journal ArticleDOI

A new strategy for multifunction myoelectric control

TL;DR: A novel approach to the control of a multifunction prosthesis based on the classification of myoelectric patterns is described, which increases the number of functions which can be controlled by a single channel of myOElectric signal but does so in a way which does not increase the effort required by the amputee.
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Adult norms for the Box and Block Test of manual dexterity

TL;DR: The purpose of this study was to develop normative data for adults to enable clinicians to objectively compare a patient's score to a normal population parameter.
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A wavelet-based continuous classification scheme for multifunction myoelectric control

TL;DR: It is shown that four channels of myoelectric data greatly improve the classification accuracy, as compared to one or two channels, and a robust online classifier is constructed, which produces class decisions on a continuous stream of data.
Journal ArticleDOI

Fuzzy EMG classification for prosthesis control

TL;DR: The fuzzy approach to classify single-site electromyograph (EMG) signals for multifunctional prosthesis control is superior to an artificial neural network method in at least three points: slightly higher recognition rate; insensitivity to overtraining; and consistent outputs demonstrating higher reliability.
Journal ArticleDOI

The effect of subcutaneous fat on myoelectric signal amplitude and cross-talk.

TL;DR: The effect of subcutaneous fat on myoelectric signal amplitude and cross-talk was studied using finite element (FE) models of electromyogram (EMG) signal propagation and it is demonstrated that fat reduction surgery can increase surface EMG signal amplitudes and signal independence for improved prosthesis control.
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