Proportional Myoelectric Control of a Virtual Inverted Pendulum Using Residual Antagonistic Muscles: Toward Voluntary Postural Control

Fleming, Aaron; Huang, Stephanie; Huang, He

doi:10.1109/tnsre.2019.2922102

Cited by 20 publications

(26 citation statements)

References 30 publications

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“…Before conducting this study, we did not know whether our recruited amputee participant could coordinate his residual muscle activation appropriately for prosthetic ankle control to assist postural stability. This was because in our previous studies [26], in which the amputee participant was also a test participant, he showed average performance compared with other transtibial amputees when asked to coordinate residual antagonistic muscles to balance a virtual inverted pendulum with human-like dynamics in a sitting position. In addition, it was unclear how the participant's demographics, such as age (57y/o), BMI (~34), presence of vascular disease (including partial neuropathy at the intact foot), might affect his ability to improve control during training.…”

Section: Discussionmentioning

confidence: 97%

“…As a case study we sought to understand how an amputee with relatively average control of his residual muscles would perform in this extended training with a dEMG controlled prosthesis. Thus, we recruited this participant based on his EMG control performance with his residual antagonistic muscles in a previous study [26] (participant TT2).…”

Section: Participantmentioning

confidence: 99%

“…Luckily, evidences have also shown that training or practice is a potential way to improve the capability of amputees in modulating residual muscles' activity for dEMG control. Our previous study [26] tested transtibial amputees in dEMG control of a virtual inverted pendulum, mimicking the dynamics of standing posture. We noted improved task performance for all the amputee participants after a short-term practice within the same experimental visit.…”

Section: Introduction 57mentioning

confidence: 99%

See 2 more Smart Citations

Direct Continuous EMG control of a Powered Prosthetic Ankle for Improved Postural Control after Guided Physical Training: a Case Study

Fleming

Huang

Buxton

et al. 2020

Preprint

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Background: Despite the promise of powered lower limb prostheses, the existing control of these modern devices is insufficient to assist many daily activities, such as postural control while lifting weight, that require continuous control of prosthetic joints according to human states and environments. The objective of this case study was to investigate the feasibility and potential of direct, continuous electromyographic (dEMG) control of a powered ankle prosthesis, combined with physical therapist (PT)-guided training, for improved standing postural control in an individual with 28 transtibial amputation. Methods: A powered prosthetic ankle was directly controlled by EMG signals of the residual lateral gastrocnemius and tibialis anterior muscles. The participant with transtibial amputation received 4-week PT-guided training on posture while using the dEMG control of powered ankle. A subset of activities in the mini-BESTest (a clinical balance assessment tool) were used in the training and evaluation protocol. We quantified EMG signals in the bilateral shank muscles, biomechanics that captures postural control and stability, and score for the clinical balance evaluation. Results: Compared to the participant's daily passive prosthesis, the dEMG-controlled ankle, combined with the training, yielded improved clinical balance score and reduced compensation from the intact joints. In addition, cross correlation coefficient of bilateral CoP excursions, a metric for quantifying standing postural control, increased to 0.83(+/-0.07) when using dEMG ankle control, compared with 0.39(+/-0.29) when using the passive device. Between-limb coordination was also observed as synchronized activation of homologous muscles in the shank. We witnessed rapid improvement in performance on the first day of the training for load transfer tasks, where bilateral CoP synchronization improvement was significantly related to repetition order (R=0.459, p = 0.045). Finally, the participant further improved this performance significantly across training days. Conclusion: This case study showed the feasibility of dEMG control of powered prosthetic ankle by a transtibial amputee after a PT-guided training to assist postural control. This study's training protocol and dEMG control method that lays the foundation for future study to extend these results through the inclusion of more participants and activities.

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Section: Discussionmentioning

confidence: 97%

Section: Participantmentioning

confidence: 99%

Section: Introduction 57mentioning

confidence: 99%

See 1 more Smart Citation

Direct Continuous EMG control of a Powered Prosthetic Ankle for Improved Postural Control after Guided Physical Training: a Case Study

Fleming

Huang

Buxton

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Luckily, there has been evidence to show that training or practice is a potential way to improve the capability of amputees in modulating residual muscles’ activity for dEMG control. Our previous study ( Fleming et al, 2019 ) tested transtibial amputees in dEMG control of a virtual inverted pendulum, mimicking the dynamics of standing posture. We noted improved task performance for all the amputee participants after a short-term practice within the same experimental visit.…”

Section: Introductionmentioning

confidence: 99%

Direct continuous electromyographic control of a powered prosthetic ankle for improved postural control after guided physical training: A case study

et al. 2021

Self Cite

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Despite the promise of powered lower limb prostheses, existing controllers do not assist many daily activities that require continuous control of prosthetic joints according to human states and environments. The objective of this case study was to investigate the feasibility of direct, continuous electromyographic (dEMG) control of a powered ankle prosthesis, combined with physical therapist-guided training, for improved standing postural control in an individual with transtibial amputation. Specifically, EMG signals of the residual antagonistic muscles (i.e. lateral gastrocnemius and tibialis anterior) were used to proportionally drive pneumatical artificial muscles to move a prosthetic ankle. Clinical-based activities were used in the training and evaluation protocol of the control paradigm. We quantified the EMG signals in the bilateral shank muscles as well as measures of postural control and stability. Compared to the participant’s daily passive prosthesis, the dEMG-controlled ankle, combined with the training, yielded improved clinical balance scores and reduced compensation from intact joints. Cross-correlation coefficient of bilateral center of pressure excursions, a metric for quantifying standing postural control, increased to .83(±.07) when using dEMG ankle control (passive device: .39(±.29)). We observed synchronized activation of homologous muscles, rapid improvement in performance on the first day of the training for load transfer tasks, and further improvement in performance across training days (p = .006). This case study showed the feasibility of this dEMG control paradigm of a powered prosthetic ankle to assist postural control. This study lays the foundation for future study to extend these results through the inclusion of more participants and activities.

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“…EMG can reflect the motion intention of the human body, and it is widely used in rehabilitation training of lower limb disabled persons [8][9][10][11]. In order to accurately determine whether the trajectory of EMG-controlled prosthesis is the same as the expected trajectory of the human body, it is very important to determine the acquisition position of the EMG signal of the residual limb [12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Selection of EMG Sensors Based on Motion Coordinated Analysis

Liu

Xuan

Zhang

et al. 2021

Sensors

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The intelligent prosthesis driven by electromyography (EMG) signal provides a solution for the movement of the disabled. The proper position of EMG sensors can improve the prosthesis’s motion recognition ability. To exert the amputee’s action-oriented ability and the prosthesis’ control ability, the EMG spatial distribution and internal connection of the prosthetic wearer is analyzed in three kinds of movement conditions: appropriate angle, excessive angle, and angle too small. Firstly, the correlation characteristics between the EMG channels are analyzed by mutual information to construct a muscle functional network. Secondly, the network’s features of different movement conditions are analyzed by calculating the characteristic of nodes and evaluating the importance of nodes. Finally, the convergent cross-mapping method is applied to construct a directed network, and the critical muscle groups which can reflect the user’s movement intention are determined. Experiment shows that this method can accurately determine the EMG location and simplify the distribution of EMG sensors inside the prosthetic socket. The network characteristics of key muscle groups can distinguish different movements effectively and provide a new strategy for decoding the relationship between limb nerve control and body movement.

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Proportional Myoelectric Control of a Virtual Inverted Pendulum Using Residual Antagonistic Muscles: Toward Voluntary Postural Control

Cited by 20 publications

References 30 publications

Direct Continuous EMG control of a Powered Prosthetic Ankle for Improved Postural Control after Guided Physical Training: a Case Study

Direct Continuous EMG control of a Powered Prosthetic Ankle for Improved Postural Control after Guided Physical Training: a Case Study

Direct continuous electromyographic control of a powered prosthetic ankle for improved postural control after guided physical training: A case study

Selection of EMG Sensors Based on Motion Coordinated Analysis

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