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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

Musculoskeletal models are pivotal in the domains of rehabilitation and resistance training to analyze muscle conditions. However, individual variability in musculoskeletal parameters and the immeasurability of some internal biomechanical…

Medical Physics · Physics 2025-02-21 Xi Wu , Chenzui Li , Kehan Zou , Ning Xi , Fei Chen

Impairment of hand functions in individuals with spinal cord injury (SCI) severely disrupts activities of daily living. Recent advances have enabled rehabilitation assisted by robotic devices to augment the residual function of the muscles.…

Muscle fatigue is usually defined as a decrease in the ability to produce force. The surface electromyography (sEMG) signals have been widely used to provide information about muscle activities including detecting muscle fatigue by various…

Signal Processing · Electrical Eng. & Systems 2021-06-21 Xinliang Guo , Lei Lu , Mark Robinson , Ying Tan , Kusal Goonewardena , Denny Oetomo

Surface Electromyography (sEMG) provides vital insights into muscle function, but it can be noisy and challenging to acquire. Inertial Measurement Units (IMUs) provide a robust and wearable alternative to motion capture systems. This paper…

Machine Learning · Computer Science 2025-11-24 Shubhranil Basak , Mada Hemanth , Madhav Rao

Statistical models of Surface electromyography (sEMG) signals have several applications such as better understanding of sEMG signal generation, improved pattern recognition based control of wearable exoskeletons and prostheses, improving…

Signal Processing · Electrical Eng. & Systems 2023-01-16 Durgesh Kusuru , Anish C. Turlapaty , Mainak Thakur

Muscle contraction is often detected via EMG in prosthetics. However, signal disturbances due to electrode motions can lead to misinterpretations. Therefore, alternative measurement approaches are desired to increase the reliability of the…

Medical Physics · Physics 2020-09-17 Roman Kusche , Martin Ryschka

Muscle synergies have recently been utilised in myoelectric control systems. Thus far, all proposed synergy-based systems rely on matrix factorisation methods. However, this is limited in terms of task-dimensionality. Here, the potential…

Signal Processing · Electrical Eng. & Systems 2021-07-08 Ahmed Ebied , Eli Kinney-Lang , Javier Escudero

This study focuses on the velocity patterns of various body parts during walking and proposes a method for evaluating gait symmetry. Traditional motion analysis studies have assessed gait symmetry based on differences in electromyographic…

Computer Vision and Pattern Recognition · Computer Science 2025-05-19 Go Fukino , Kanta Tachibana

Objective: The main goal of the athletes who undergo anterior cruciate ligament reconstruction (ACLR) surgery is a successful return-to-sport. At this stage, identifying muscular deficits becomes important. Hence, in this study, three…

Medical Physics · Physics 2023-03-14 Mehran Hatamzadeh , Ali Sharifnezhad , Reza Hassannejad , Raphael Zory

This paper introduces an upper limb postural optimization method for enhancing physical ergonomics and force manipulability during bimanual human-robot co-carrying tasks. Existing research typically emphasizes human safety or manipulative…

Robotics · Computer Science 2025-11-07 Chenzui Li , Yiming Chen , Xi Wu , Giacinto Barresi , Fei Chen

Unilateral muscle weakness often leads to asymmetric gait, disrupting interlimb coordination and stance timing. This study presents a reinforcement learning (RL) based musculoskeletal simulation framework to (1) quantify how progressive…

Robotics · Computer Science 2026-02-24 Yifei Yuan , Ghaith Androwis , Xianlian Zhou

An accurate classification of upper limb movements using electroencephalography (EEG) signals is gaining significant importance in recent years due to the prevalence of brain-computer interfaces. The upper limbs in the human body are…

Signal Processing · Electrical Eng. & Systems 2023-04-14 Saadat Ullah Khan , Muhammad Majid , Syed Muhammad Anwar

Synergistic prostheses enable the coordinated movement of the human-prosthetic arm, as required by activities of daily living. This is achieved by coupling the motion of the prosthesis to the human command, such as the residual limb…

Robotics · Computer Science 2020-11-25 Ricardo Garcia-Rosas , Denny Oetomo , Chris Manzie , Ying Tan , Peter Choong

Developing electroencephalogram (EEG) based brain-computer interface (BCI) systems is challenging. In this study, we analyzed natural grasp actions from EEG. Ten healthy subjects participated in this experiment. They executed and imagined…

Human-Computer Interaction · Computer Science 2020-02-06 Jeong-Hyun Cho , Ji-Hoon Jeong , Dong-Joo Kim , Seong-Whan Lee

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

Upper extremity motor impairment affects about 80\% of persons after strokes. For stroke rehabilitation, upper limb kinematic assessments have increasingly been used as primary or secondary outcome measures. Studying the upper extremity…

Quantitative Methods · Quantitative Biology 2023-05-18 Khadija F. Zaidi , Michelle Harris-Love

Powered lower limb exoskeletons are a viable solution for people with a spinal cord injury to regain mobility for their daily activities. However, the commonly employed rigid actuation and pre-programmed trajectories increase the risk of…

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

Motor Imagery (MI) is gaining traction in both rehabilitation and sports settings, but its immediate influence on human postural control is not yet clearly understood. The focus of this study is to examine the effects of MI on the dynamics…

Neurons and Cognition · Quantitative Biology 2024-06-04 Fatemeh Delavari , Seyyed Mohammad Reza Hashemi Golpayegani , Mohammad Ali Ahmadi-Pajouh