scholarly journals Myoelectric Control for Upper Limb Prostheses

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1244 ◽  
Author(s):  
Carles Igual ◽  
Luis A. Pardo ◽  
Jr. Hahne ◽  
Janne M. Igual

State-of-the-art high-end prostheses are electro-mechanically able to provide a great variety of movements. Nevertheless, in order to functionally replace a human limb, it is essential that each movement is properly controlled. This is the goal of prosthesis control, which has become a growing research field in the last decades, with the ultimate goal of reproducing biological limb control. Therefore, exploration and development of prosthesis control are crucial to improve many aspects of an amputee’s life. Nowadays, a large divergence between academia and industry has become evident in commercial systems. Although several studies propose more natural control systems with promising results, basic one degree of freedom (DoF), a control switching system is the most widely used option in industry because of simplicity, robustness and inertia. A few classification controlled prostheses have emerged in the last years but they are still a low percentage of the used ones. One of the factors that generate this situation is the lack of robustness of more advanced control algorithms in daily life activities outside of laboratory conditions. Because of this, research has shifted towards more functional prosthesis control. This work reviews the most recent literature in upper limb prosthetic control. It covers commonly used variants of possible biological inputs, its processing and translation to actual control, mostly focusing on electromyograms as well as the problems it will have to overcome in near future.

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 763
Author(s):  
Hancong Wu ◽  
Matthew Dyson ◽  
Kianoush Nazarpour

Understanding how upper-limb prostheses are used in daily life helps to improve the design and robustness of prosthesis control algorithms and prosthetic components. However, only a very small fraction of published research includes prosthesis use in community settings. The cost, limited battery life, and poor generalisation may be the main reasons limiting the implementation of home-based applications. In this work, we introduce the design of a cost-effective Arduino-based myoelectric control system with wearable electromyogram (EMG) sensors. The design considerations focused on home studies, so the robustness, user-friendly control adjustments, and user supports were the main concerns. Three control algorithms, namely, direct control, abstract control, and linear discriminant analysis (LDA) classification, were implemented in the system. In this paper, we will share our design principles and report the robustness of the system in continuous operation in the laboratory. In addition, we will show a first real-time implementation of the abstract decoder for prosthesis control with an able-bodied participant.


2005 ◽  
Vol 05 (02) ◽  
pp. 383-390 ◽  
Author(s):  
MARCO TRONCOSSI ◽  
VINCENZO PARENTI-CASTELLI ◽  
ANGELO DAVALLI

The challenge to develop innovative electrically actuated prostheses for upper limb amputees is the basis of this study. The whole project is intended to provide high-level bilateral amputees with devices which can give them back a sufficient quality of life, since current prostheses are rather limited. High mobility, advanced control and good "wearability" are the main features required of artificial arms. The method presented here provides the specifications needed to guide the mechanical design of the prosthetic system, defining its architecture (i.e., geometry and topology of its model) as a trade-off solution between contrasting requirements like, for instance, functionality and simplicity. The approach is subject-oriented, that is, the process is based upon the specific needs of patients undergoing prosthetic rehabilitation; the expected result of the proper application of the procedure is the systematic determination of a limited number of prosthesis architectures suitable for a few corresponding classes of amputee profiles. Thus, the mechanical design of the prosthetic system is based on these indications.


1994 ◽  
Author(s):  
William H. Donovan ◽  
◽  
Diane J. Atkins ◽  
Denise C. Y. Heard

2022 ◽  
Vol 73 ◽  
pp. 103454
Author(s):  
Anestis Mablekos-Alexiou ◽  
Spiros Kontogiannopoulos ◽  
Georgios A. Bertos ◽  
Evangelos Papadopoulos

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Amélie Touillet ◽  
Laetitia Peultier-Celli ◽  
Caroline Nicol ◽  
Nathanaël Jarrassé ◽  
Isabelle Loiret ◽  
...  

F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 282 ◽  
Author(s):  
Giuliana Grimaldi ◽  
Mario Manto ◽  
Yassin Jdaoudi

Tremor is the most common movement disorder encountered during daily neurological practice. Tremor in the upper limbs causes functional disability and social inconvenience, impairing daily life activities. The response of tremor to pharmacotherapy is variable. Therefore, a combination of drugs is often required. Surgery is considered when the response to medications is not sufficient. However, about one third of patients are refractory to current treatments. New bioengineering therapies are emerging as possible alternatives. Our study was carried out in the framework of the European project “Tremor” (ICT-2007-224051). The main purpose of this challenging project was to develop and validate a new treatment for upper limb tremor based on the combination of functional electrical stimulation (FES; which has been shown to reduce upper limb tremor) with a brain-computer interface (BCI). A BCI-driven detection of voluntary movement is used to trigger FES in a closed-loop approach. Neurological tremor is detected using a matrix of EMG electrodes and inertial sensors embedded in a wearable textile. The identification of the intentionality of movement is a critical aspect to optimize this complex system. We propose a multimodal detection of the intentionality of movement by fusing signals from EEG, EMG and kinematic sensors (gyroscopes and accelerometry). Parameters of prediction of movement are extracted in order to provide global prediction plots and trigger FES properly. In particular, quality parameters (QPs) for the EEG signals, corticomuscular coherence and event-related desynchronization/synchronization (ERD/ERS) parameters are combined in an original algorithm which takes into account the refractoriness/responsiveness of tremor. A simulation study of the relationship between the threshold of ERD/ERS of artificial EEG traces and the QPs is also provided. Very interestingly, values of QPs were much greater than those obtained for the corticomuscular module alone.


2018 ◽  
Vol 31 (1) ◽  
pp. 20-27
Author(s):  
Tara Sims

Purpose There are many frameworks and methods for involving children in design research. Human-Computer Interaction provides rich methods for involving children when designing technologies. The paper aims to discuss these issues. Design/methodology/approach This paper examines various approaches to involving children in design, considering whether users view children as study objects or active participants. Findings The BRIDGE method is a sociocultural approach to product design that views children as active participants, enabling them to contribute to the design process as competent and resourceful partners. An example is provided, in which BRIDGE was successfully applied to developing upper limb prostheses with children. Originality/value Approaching design in this way can provide children with opportunities to develop social, academic and design skills and to develop autonomy.


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