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Recent dynamical models, based on the seminal work of V. Hill, allow to predict the muscular response to functional electrostimulation (FES), in the isometric and non-isometric cases. The physical controls are modeled as Dirac pulses and…

Optimization and Control · Mathematics 2021-03-15 Toufik Bakir , Bernard Bonnard , Sandrine Gayrard , Jérémy Rouot

Reaching disabilities affect the quality of life. Functional Electrical Stimulation (FES) can restore lost motor functions. Yet, there remain challenges in controlling FES to induce desired movements. Neuromechanical models are valuable…

Systems and Control · Electrical Eng. & Systems 2023-03-20 Nat Wannawas , A. Aldo Faisal

Human movement disorders or paralysis lead to the loss of control of muscle activation and thus motor control. Functional Electrical Stimulation (FES) is an established and safe technique for contracting muscles by stimulating the skin…

Robotics · Computer Science 2021-03-10 Nat Wannawas , Ali Shafti , A. Aldo Faisal

Functional Electrical Stimulation (FES) is a technique to evoke muscle contraction through low-energy electrical signals. FES can animate paralysed limbs. Yet, an open challenge remains on how to apply FES to achieve desired movements. This…

Machine Learning · Computer Science 2022-09-19 Nat Wannawas , Ali Shafti , A. Aldo Faisal

Functional electrical stimulation (FES) is a prevalent technique commonly used to activate muscles in individuals with neurological disorders. Traditional FES strategies predominantly utilize low-frequency (LF) stimulation, which evokes…

Systems and Control · Electrical Eng. & Systems 2025-10-23 Long Meng , Paola Terolli , Xiaogang Hu

Functional electrical stimulation (FES) has been increasingly integrated with other rehabilitation devices, including robots. FES cycling is one of the common FES applications in rehabilitation, which is performed by stimulating leg muscles…

Robotics · Computer Science 2023-11-17 Nat Wannawas , A. Aldo Faisal

Functional electrical stimulation (FES) is used to activate the dysfunctional lower limb muscles of individuals with neuromuscular disorders to produce cycling as a means of exercise and rehabilitation. However, FES-cycling is still…

Systems and Control · Computer Science 2014-03-14 Matthew J. Bellman , Teng-Hu Cheng , Ryan J. Downey , Warren E. Dixon

Foot drop is commonly managed using Functional Electrical Stimulation (FES), typically delivered via open-loop controllers with fixed stimulation intensities. While users may manually adjust the intensity through external controls, this…

Robotics · Computer Science 2026-02-24 Andreas Christou , Elliot Lister , Georgia Andreopoulou , Don Mahad , Sethu Vijayakumar

Loss of voluntary foot movement after spinal cord injury (SCI) can significantly limit independent mobility and quality of life. To improve motor output after injury, functional electrical stimulation (FES) is used to deliver stimulation…

Human-Computer Interaction · Computer Science 2026-04-10 Vlad Cnejevici , Matthias Ponfick , Dietmar Fey , Raul C. Sîmpetru , Alessandro Del Vecchio

Neuromuscular electrical stimulation (NMES) has been effectively applied in many rehabilitation treatments of individuals with spinal cord injury (SCI). In this context, we introduce a novel, robust, and intelligent control-based…

Functional Electrical Stimulation (FES) systems are successful in restoring motor function and supporting paralyzed users. Commercially available FES products are open loop, meaning that the system is unable to adapt to changing conditions…

Robotics · Computer Science 2018-07-31 Billy Woods , Mahendran Subramanian , Ali Shafti , A. Aldo Faisal

The hybridisation of robot-assisted gait training and functional electrical stimulation (FES) can provide numerous physiological benefits to neurological patients. However, the design of an effective hybrid controller poses significant…

Robotics · Computer Science 2024-11-14 Andreas Christou , Antonio J. del-Ama , Juan C. Moreno , Sethu Vijayakumar

Objective. Personalized transcranial electrical stimulation (tES) has gained growing attention due to the substantial inter-individual variability in brain anatomy and physiology. While previous reviews have discussed the physiological…

Neurons and Cognition · Quantitative Biology 2025-11-06 Mo Wang , Kexin Zheng , Yingyue Xin , Xiang Chen , Yiling Liu , Huichun Luo , Jingsheng Tang , Tifei Yuan , Hongkai Wen , Pengfei Wei , Quanying Liu

Transcranial electric stimulation (TES) can modulate intrinsic neural activity in the brain by injecting weak currents through electrodes attached to the scalp. TES has been widely used as a neuroscience tool to investigate how behavioural…

Functional Electrical Stimulation (FES) can restore motion to a paralysed person's muscles. Yet, control stimulating many muscles to restore the practical function of entire limbs is an unsolved problem. Current neurostimulation engineering…

Machine Learning · Computer Science 2021-04-05 Nat Wannawas , Mahendran Subramanian , A. Aldo Faisal

A functional electrical stimulation (FES)-based tracking controller is developed to enable cycling based on a strategy to yield force direction efficiency by exploiting antagonistic bi-articular muscles. Given the input redundancy naturally…

Systems and Control · Computer Science 2013-10-02 Hiroyuki Kawai , Matthew J. Bellman , Ryan J. Downey , Warren E. Dixon

This report details the design and development of a compact high-voltage functional electrical stimulation (FES) device. Unlike conventional FES systems, the proposed design prioritizes user comfort by leveraging rapid switching times to…

Systems and Control · Electrical Eng. & Systems 2024-12-17 Haiduo Wang , Ruizhe Tang , Xilin Liu

The coupling of human movement dynamics with the function and design of wearable assistive devices is vital to better understand the interaction between the two. Advanced neuromuscular models and optimal control formulations provide the…

Robotics · Computer Science 2018-04-10 Manish Sreenivasa , Matthew Millard , Paul Manns , Katja Mombaur

Muscle force sharing is typically resolved by minimizing a specific objective function to approximate neural control strategies. An inverse optimal control approach was applied to identify the "best" objective function, among a positive…

Medical Physics · Physics 2025-10-21 Filip Bečanović , Vincent Bonnet , Kosta Jovanović , Samer Mohammed , Raphaël Dumas

Neurostimulation technologies have seen a recent surge in interest from the neuroscience and controls communities alike due to their proven potential to treat conditions such as Parkinson's Disease, and depression. The provided stimulation…

Systems and Control · Electrical Eng. & Systems 2023-01-03 Gagan Acharya , Sebastian F. Ruf , Erfan Nozari
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