Compensating the effects of FES-induced muscle fatigue by rehabilitation robotics during arm weight support

Meyer-Rachner, Paul; Passon, Arne; Klauer, Christian; Schauer, Thomas

doi:10.1515/cdbme-2017-0007

Cited by 9 publications

(4 citation statements)

References 11 publications

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“…It is recognized that several research groups discuss the integration of FES with robotic arms with passive actuators. In their research, Meyer-Rachner et al [31] developed a computerized system using a rope as an arm support, shown in the schematic representation in Figure 5A. Rope support is applied to robotics to support the gravitational force of the arm with an adjusted rope load calculated using a static arm model in a hanging position and moving horizontally to achieve a forearm posture.…”

Section: Integration Of Fes and Robot Arm With Passive Actuatorsmentioning

confidence: 99%

“…Meyer-Rachner et al [31] in their research, they reported the results of using two straps as actuators of a robotic system mounted on the elbow, forearm, and wrist joints integrated with FES. The evaluation of the trial was carried out with one healthy subject doing repetitive lifting of the arm, the EMG was recorded and processed to obtain signals of FES-induced muscle activity.…”

Section: Hybrid Robotic Outcome Scale Based On a Passive Actuator Exo...mentioning

confidence: 99%

“…Using pneumatic actuators refers to using compressed air to carry out the necessary actions; besides that, pneumatic actuators can produce greater torque. The third is the use of passive actuators, as done by [31], [32] and [33]. Passive systems store potential energy, such as springs or other elastic materials, and can work without electricity.…”

Section: Technical Aspects and Technological Challenges Of Integratio...mentioning

confidence: 99%

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Literature review: User interface of system functional electrical stimulation (FES) and arm robotic rehabilitation

Abryandoko,

Susmartini,

Widyo

et al. 2024

J Appl Eng Science

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Interface technology development for human-robot interaction (HRI) in rehabilitation systems has increased in recent years. HRI can effectively achieve specific motor goals desired in rehabilitation, such as combining human intentions and actions with robotic devices to perform the desired stroke rehabilitation movements. Rehabilitation devices are starting to be directed towards using devices that integrate functional electrical stimulation (FES) with robotic arms because they have succeeded in providing promising interventions to restore arm function by intensively activating the muscles of post-stroke patients. However, FES requires a high level of accuracy to position the limbs for the functional tasks given because excessive electrical stimulation can cause fatigue in the patient, so it is necessary to provide electrical stimulation with an amplitude that suits the patient's needs. Unfortunately, most studies have a constant voltage amplitude and do not consider the voltage that matches the patient's muscle needs; this treatment can cause fatigue in the patient. Robotic devices as rehabilitation aids have the potential to support external power and adapt electrical stimulation needs to the voltage amplitude applied to the FES. Integrating FES with a robotic arm support system into one hybrid neuroprosthesis is attractive because the mechanical device can complement muscle action and increase rehabilitation's repeatability and accuracy rate. The integration of FES and robotic arms is a promising approach in the future. This article reviews the state of the art regarding motor rehabilitation using functional electrical stimulation (FES) devices and robotic arms for the upper limbs of post-stroke patients. A narrative review was done through a literature search using the IEEE-Xplore, Scopus, and PubMed databases. Nine different rehabilitation system articles were identified. The selected systems were compared critically by considering the design and actuators, components, technological aspects, and technological challenges that could be developed in the future. This article also examines the development of HRI and emerging research trends in HRI-based rehabilitation.

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Section: Integration Of Fes and Robot Arm With Passive Actuatorsmentioning

confidence: 99%

Section: Hybrid Robotic Outcome Scale Based On a Passive Actuator Exo...mentioning

confidence: 99%

Section: Technical Aspects and Technological Challenges Of Integratio...mentioning

confidence: 99%

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Literature review: User interface of system functional electrical stimulation (FES) and arm robotic rehabilitation

Abryandoko,

Susmartini,

Widyo

et al. 2024

J Appl Eng Science

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“…In particular in stroke rehabilitation, the effects of muscular fatigue have been explored in patients with post-stroke spasticity which present abnormal antagonistic muscle co-activation patterns, because there exist a significant influence of muscle fatigue on the coupling of antagonistic muscles (Wang L.-J. et al, 2020) Comment on current/potential applications: The exploration of potential adaptive robotic system for rehabilitation using muscle fatigue as a trigger has been tested for improve engagement and performance (Meyer-Rachner et al, 2017;Mugnosso et al, 2018;Huang et al, 2019;Kanal et al, 2019). Novel methods for fatigue detection are continuously being developed, boosted by machine learning algorithms and wearables EMG sensors (Mugnosso et al, 2017;Papakostas et al, 2019;Wang W. et al, 2020;Liu et al, 2021) 6.…”

Section: Muscle Fatiguementioning

confidence: 99%

Neuromechanical Biomarkers for Robotic Neurorehabilitation

et al. 2021

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One of the current challenges for translational rehabilitation research is to develop the strategies to deliver accurate evaluation, prediction, patient selection, and decision-making in the clinical practice. In this regard, the robot-assisted interventions have gained popularity as they can provide the objective and quantifiable assessment of the motor performance by taking the kinematics parameters into the account. Neurophysiological parameters have also been proposed for this purpose due to the novel advances in the non-invasive signal processing techniques. In addition, other parameters linked to the motor learning and brain plasticity occurring during the rehabilitation have been explored, looking for a more holistic rehabilitation approach. However, the majority of the research done in this area is still exploratory. These parameters have shown the capability to become the “biomarkers” that are defined as the quantifiable indicators of the physiological/pathological processes and the responses to the therapeutical interventions. In this view, they could be finally used for enhancing the robot-assisted treatments. While the research on the biomarkers has been growing in the last years, there is a current need for a better comprehension and quantification of the neuromechanical processes involved in the rehabilitation. In particular, there is a lack of operationalization of the potential neuromechanical biomarkers into the clinical algorithms. In this scenario, a new framework called the “Rehabilomics” has been proposed to account for the rehabilitation research that exploits the biomarkers in its design. This study provides an overview of the state-of-the-art of the biomarkers related to the robotic neurorehabilitation, focusing on the translational studies, and underlying the need to create the comprehensive approaches that have the potential to take the research on the biomarkers into the clinical practice. We then summarize some promising biomarkers that are being under investigation in the current literature and provide some examples of their current and/or potential applications in the neurorehabilitation. Finally, we outline the main challenges and future directions in the field, briefly discussing their potential evolution and prospective.

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Neurorehabilitation Robots Review: Towards a Mechanized Process for Upper Limb

Borole

Raut

2022

Intelligent Systems for Rehabilitation Engineering

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Compensating the effects of FES-induced muscle fatigue by rehabilitation robotics during arm weight support

Cited by 9 publications

References 11 publications

Literature review: User interface of system functional electrical stimulation (FES) and arm robotic rehabilitation

Literature review: User interface of system functional electrical stimulation (FES) and arm robotic rehabilitation

Neuromechanical Biomarkers for Robotic Neurorehabilitation

Neurorehabilitation Robots Review: Towards a Mechanized Process for Upper Limb

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