A hybrid functional electrical stimulation for real-time estimation of joint torque and closed-loop control of muscle activation

Li, Zhan; Guiraud, David; Andreu, David; Fattal, Charles; Gélis, Anthony; Hayashibe, Mitsuhiro

doi:10.4081/ejtm.2016.6064

Cited by 8 publications

(4 citation statements)

References 8 publications

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“…For instance, EEG signals (Do et al [62]) have been mostly used in open-loop, but their use in closed-loop is a relevant and largely unexplored direction. Other sensors, such as bioimpedance sensors (Nahrstaedt et al [80]), eEMG (Li et al [75][76][77][78]), ENG (NeuroStep system [63,64]) or EMG-IMU combination (Valtin et al [79]) also offer interesting lines of research to address some currently unsolved problems, e.g. muscle fatigue.…”

Section: Discussionmentioning

confidence: 99%

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Advances in neuroprosthetic management of foot drop: a review

Gil-Castillo

Alnajjar

Koutsou

et al. 2020

J NeuroEngineering Rehabil

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This paper reviews the technological advances and clinical results obtained in the neuroprosthetic management of foot drop. Functional electrical stimulation has been widely applied owing to its corrective abilities in patients suffering from a stroke, multiple sclerosis, or spinal cord injury among other pathologies. This review aims at identifying the progress made in this area over the last two decades, addressing two main questions: What is the status of neuroprosthetic technology in terms of architecture, sensorization, and control algorithms?. What is the current evidence on its functional and clinical efficacy? The results reveal the importance of systems capable of self-adjustment and the need for closed-loop control systems to adequately modulate assistance in individual conditions. Other advanced strategies, such as combining variable and constant frequency pulses, could also play an important role in reducing fatigue and obtaining better therapeutic results. The field not only would benefit from a deeper understanding of the kinematic, kinetic and neuromuscular implications and effects of more promising assistance strategies, but also there is a clear lack of long-term clinical studies addressing the therapeutic potential of these systems. This review paper provides an overview of current system design and control architectures choices with regard to their clinical effectiveness. Shortcomings and recommendations for future directions are identified.

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Section: Discussionmentioning

confidence: 99%

“…With this information, it modulates the pulse width to follow a desired trajectory and the eEMG model is updated. The system was tested on able-bodied subjects and SCI patients, and the results verify its feasibility and efficiency [75][76][77][78].…”

Section: Stimulation Based On Emgmentioning

confidence: 99%

Advances in neuroprosthetic management of foot drop: a review

Gil-Castillo

Alnajjar

Koutsou

et al. 2020

J NeuroEngineering Rehabil

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“…Realizing feedback modulation of FES technology in clinical application is a major challenge [12], [37], [38]. Existing studies have pointed out that EMG signals provide an approach to solving this problem [15], [39], [40].…”

Section: A Existing Necessity Of the G-s-g Methodsmentioning

confidence: 99%

An Adaptive Spatial Filtering Method for Multi-Channel EMG Artifact Removal During Functional Electrical Stimulation With Time-Variant Parameters

Chen,

Jiao,

Zhang

et al. 2023

IEEE Trans. Neural Syst. Rehabil. Eng.

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Removing the stimulation artifacts evoked by the functional electrical stimulation (FES) in electromyogram (EMG) signals is a challenge. Previous researches on stimulation artifact removal have focused on FES modulation with time-constant parameters, which has limitations when there are time-variant parameters. Therefore, considering the synchronism of muscle activation induced by FES and the asynchronism of muscle activation induced by proprioceptive nerves, we proposed a novel adaptive spatial filtering method called G-S-G. It entails fusing the Gram-Schmidt orthogonalization (G-S) and Grubbs criterion (G) algorithms to remove the FES-evoked stimulation artifacts in multi-channel EMG signals. To verify this method, we constructed a series of simulation data by fusing the FES signal with time-variant parameters and Manuscript

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“…Clinically, these parameters are commonly set by the operator based on predefined values or via trial and error experiential approaches (Doucet et al, 2012). Automatic parameters selection can be achieved via closed-loop control strategies that automatically tune amplitude and/or frequency of stimulation to track predefined kinematics or kinetics targets (Hunt et al, 2004; Lynch and Popovic, 2008; Li et al, 2016). However, most control strategies presently available do not appropriately model the underlying NMS system of an individual, overly simplifying or ignoring the dynamics of muscle activation and contraction and their effects on joint movement (Sartori et al, 2016).…”

Section: Neuromechanical Prostheses For Individuals With Spinal Cord mentioning

confidence: 99%

Neuromusculoskeletal Modeling-Based Prostheses for Recovery After Spinal Cord Injury

et al. 2019

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Concurrent stimulation and reinforcement of motor and sensory pathways has been proposed as an effective approach to restoring function after developmental or acquired neurotrauma. This can be achieved by applying multimodal rehabilitation regimens, such as thought-controlled exoskeletons or epidural electrical stimulation to recover motor pattern generation in individuals with spinal cord injury (SCI). However, the human neuromusculoskeletal (NMS) system has often been oversimplified in designing rehabilitative and assistive devices. As a result, the neuromechanics of the muscles is seldom considered when modeling the relationship between electrical stimulation, mechanical assistance from exoskeletons, and final joint movement. A powerful way to enhance current neurorehabilitation is to develop the next generation prostheses incorporating personalized NMS models of patients. This strategy will enable an individual voluntary interfacing with multiple electromechanical rehabilitation devices targeting key afferent and efferent systems for functional improvement. This narrative review discusses how real-time NMS models can be integrated with finite element (FE) of musculoskeletal tissues and interface multiple assistive and robotic devices with individuals with SCI to promote neural restoration. In particular, the utility of NMS models for optimizing muscle stimulation patterns, tracking functional improvement, monitoring safety, and providing augmented feedback during exercise-based rehabilitation are discussed.

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A hybrid functional electrical stimulation for real-time estimation of joint torque and closed-loop control of muscle activation

Cited by 8 publications

References 8 publications

Advances in neuroprosthetic management of foot drop: a review

Advances in neuroprosthetic management of foot drop: a review

An Adaptive Spatial Filtering Method for Multi-Channel EMG Artifact Removal During Functional Electrical Stimulation With Time-Variant Parameters

Neuromusculoskeletal Modeling-Based Prostheses for Recovery After Spinal Cord Injury

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