Myoelectric control of robotic lower limb prostheses: a review of electromyography interfaces, control paradigms, challenges and future directions

Fleming, Aaron; Stafford, Nicole; Huang, Stephanie; Hu, Xiaogang; Ferris, Daniel P.; Huang, He

doi:10.1088/1741-2552/ac1176

Cited by 94 publications

(75 citation statements)

References 145 publications

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“…Limited research has investigated the utilization of bilateral modalities which contain meaningful interlimb coordination information, such as the gait phase delay across the legs, not to mention fusing the contralateral neural information to additionally extract the motion intention. The decoding accuracy exhibits no difference when we replaced the ipsilateral sEMG with the contralateral sEMG ( Figure 3B ) with a p -value indicator of 0.98, this supports the complementary myocontrol rationale with respect to myocontrol from the residual limb (Fleming et al, 2021 ). Moreover, as indicated in Hu's research (Hu et al, 2018 ), bilateral sensors fusion can reduce steady-state and transitional error rates in locomotion recognition.…”

Section: Discussionsupporting

confidence: 73%

“…Their design can guarantee an immediate response when the gait speeds change and meet the basic daily demands of the amputee. Besides, if motion intention is decoded from the healthy leg of the amputee, it may provide a better choice to overcome the shortcomings of the poor signal quality when the sEMG was captured from the residual limb (Fleming et al, 2021 ). Moreover, the sEMG is especially suitable for monitoring muscle activity patterns during walking, this can provide an additional benefit in the gait restoration assessment at the same time.…”

Section: Introductionmentioning

confidence: 99%

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Design of a Bio-Inspired Gait Phase Decoder Based on Temporal Convolution Network Architecture With Contralateral Surface Electromyography Toward Hip Prosthesis Control

Chen

et al. 2022

Front. Neurorobot.

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Inter-leg coordination is of great importance to guarantee the safety of the prostheses wearers, especially for the subjects at high amputation levels. The mainstream of current controllers for lower-limb prostheses is based on the next motion state estimation by the past motion signals at the prosthetic side, which lacks immediate responses and increases falling risks. A bio-inspired gait pattern generation architecture was proposed to provide a possible solution to the bilateral coordination issue. The artificial movement pattern generator (MPG) based on the temporal convolution network, fusing with the motion intention decoded from the surface electromyography (sEMG) measured at the impaired leg and the motion status from the kinematic modality of the prosthetic leg, can predict four sub gait phases. Experiment results suggested that the gait phase decoder exhibited a relatively high intra-subject consistency in the gait phase inference, adapted to various walking speeds with mean decoding accuracy ranging from 89.27 to 91.16% across subjects, and achieved an accuracy of 90.30% in estimating the gait phase of the prosthetic leg in the hip disarticulation amputee at the self-selected pace. With the proof of concept and the offline experiment results, the proposed architecture improves the walking coordination with prostheses for the amputees at hip level amputation.

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Section: Discussionsupporting

confidence: 73%

Section: Introductionmentioning

confidence: 99%

Design of a Bio-Inspired Gait Phase Decoder Based on Temporal Convolution Network Architecture With Contralateral Surface Electromyography Toward Hip Prosthesis Control

Chen

et al. 2022

Front. Neurorobot.

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“…CPR5 associated with a novel nucleoporin PLANT NUCLEAR ENVELOPE TRANSMEMBRANE 1 (PNET1) [ 40 ]. Function of human PNET1 homologs is important to cell cycle regulation [ 41 ]. This suggests that CPR5-PNET1 may have a dual function between cell cycle and immune pathways in the nuclear pore.…”

Section: Discussionmentioning

confidence: 99%

Optimization of immune receptor-related hypersensitive cell death response assay using agrobacterium-mediated transient expression in tobacco plants

Huh

2022

Plant Methods

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Background The study of the regulatory mechanisms of evolutionarily conserved Nucleotide-binding leucine-rich repeat (NLR) resistance (R) proteins in animals and plants is of increasing importance due to understanding basic immunity and the value of various crop engineering applications of NLR immune receptors. The importance of temperature is also emerging when applying NLR to crops responding to global climate change. In particular, studies of pathogen effector recognition and autoimmune activity of NLRs in plants can quickly and easily determine their function in tobacco using agro-mediated transient assay. However, there are conditions that should not be overlooked in these cell death-related assays in tobacco. Results Environmental conditions play an important role in the immune response of plants. The system used in this study was to establish conditions for optimal hypertensive response (HR) cell death analysis by using the paired NLR RPS4/RRS1 autoimmune and AvrRps4 effector recognition system. The most suitable greenhouse temperature for growing plants was fixed at 22 °C. In this study, RPS4/RRS1-mediated autoimmune activity, RPS4 TIR domain-dependent cell death, and RPS4/RRS1-mediated HR cell death upon AvrRps4 perception significantly inhibited under conditions of 65% humidity. The HR is strongly activated when the humidity is below 10%. Besides, the leaf position of tobacco is important for HR cell death. Position #4 of the leaf from the top in 4–5 weeks old tobacco plants showed the most effective HR cell death. Conclusions As whole genome sequencing (WGS) or resistance gene enrichment sequencing (RenSeq) of various crops continues, different types of NLRs and their functions will be studied. At this time, if we optimize the conditions for evaluating NLR-mediated HR cell death, it will help to more accurately identify the function of NLRs. In addition, it will be possible to contribute to crop development in response to global climate change through NLR engineering.

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“…Only one comprehensive analysis has been found that focuses on EMG-driven control in lower limb prostheses [ 41 ]. Whereas various reviews have been published on MLLPs, most of these focus on mechanics and control, and either do not discuss EMG-driven control [ 50 , 52 , 69 ], or dedicate a short section to it [ 42 , 84 , 124 , 131 ].…”

Section: Introductionmentioning

confidence: 99%

EMG-driven control in lower limb prostheses: a topic-based systematic review

Cimolato

Driessen

Mattos

et al. 2022

J NeuroEngineering Rehabil

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Background The inability of users to directly and intuitively control their state-of-the-art commercial prosthesis contributes to a low device acceptance rate. Since Electromyography (EMG)-based control has the potential to address those inabilities, research has flourished on investigating its incorporation in microprocessor-controlled lower limb prostheses (MLLPs). However, despite the proposed benefits of doing so, there is no clear explanation regarding the absence of a commercial product, in contrast to their upper limb counterparts. Objective and methodologies This manuscript aims to provide a comparative overview of EMG-driven control methods for MLLPs, to identify their prospects and limitations, and to formulate suggestions on future research and development. This is done by systematically reviewing academical studies on EMG MLLPs. In particular, this review is structured by considering four major topics: (1) type of neuro-control, which discusses methods that allow the nervous system to control prosthetic devices through the muscles; (2) type of EMG-driven controllers, which defines the different classes of EMG controllers proposed in the literature; (3) type of neural input and processing, which describes how EMG-driven controllers are implemented; (4) type of performance assessment, which reports the performance of the current state of the art controllers. Results and conclusions The obtained results show that the lack of quantitative and standardized measures hinders the possibility to analytically compare the performances of different EMG-driven controllers. In relation to this issue, the real efficacy of EMG-driven controllers for MLLPs have yet to be validated. Nevertheless, in anticipation of the development of a standardized approach for validating EMG MLLPs, the literature suggests that combining multiple neuro-controller types has the potential to develop a more seamless and reliable EMG-driven control. This solution has the promise to retain the high performance of the currently employed non-EMG-driven controllers for rhythmic activities such as walking, whilst improving the performance of volitional activities such as task switching or non-repetitive movements. Although EMG-driven controllers suffer from many drawbacks, such as high sensitivity to noise, recent progress in invasive neural interfaces for prosthetic control (bionics) will allow to build a more reliable connection between the user and the MLLPs. Therefore, advancements in powered MLLPs with integrated EMG-driven control have the potential to strongly reduce the effects of psychosomatic conditions and musculoskeletal degenerative pathologies that are currently affecting lower limb amputees.

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Myoelectric control of robotic lower limb prostheses: a review of electromyography interfaces, control paradigms, challenges and future directions

Cited by 94 publications

References 145 publications

Design of a Bio-Inspired Gait Phase Decoder Based on Temporal Convolution Network Architecture With Contralateral Surface Electromyography Toward Hip Prosthesis Control

Design of a Bio-Inspired Gait Phase Decoder Based on Temporal Convolution Network Architecture With Contralateral Surface Electromyography Toward Hip Prosthesis Control

Optimization of immune receptor-related hypersensitive cell death response assay using agrobacterium-mediated transient expression in tobacco plants

EMG-driven control in lower limb prostheses: a topic-based systematic review

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