Wearable ankle robots in post-stroke rehabilitation of gait: a systematic review

B Shi, X Chen, Z Yue, S Yin, Q Weng… - Frontiers in …, 2019 - frontiersin.org
Background: Stroke causes weak functional mobility in survivors and affects the ability to
perform activities of daily living. Wearable ankle robots are a potential intervention for gait …

A review: motor rehabilitation after stroke with control based on human intent

M Li, G Xu, J Xie, C Chen - … Part H: Journal of Engineering in …, 2018 - journals.sagepub.com
Strokes are a leading cause of acquired disability worldwide, and there is a significant need
for novel interventions and further research to facilitate functional motor recovery in stroke …

Estimation of ankle joint torque and angle based on S-EMG signal for assistive rehabilitation robots

P Baby Jephil, P Acharaya, L Xu, K Guo, H Yu… - … Processing: Advances in …, 2020 - Springer
Abstract Surface Electromyography (S-EMG) has shown the advantages of robotic
rehabilitation. Robotic rehabilitation can be significantly improved if the intended body …

A real-time and convex model for the estimation of muscle force from surface electromyographic signals in the upper and lower limbs

M Shirzadi, HR Marateb, M Rojas-Martínez… - Frontiers in …, 2023 - frontiersin.org
Surface electromyography (sEMG) is a signal consisting of different motor unit action
potential trains and records from the surface of the muscles. One of the applications of sEMG …

Development of electromyography signal signature for forearm muscle

I Elamvazuthi, Z Zulkifli, Z Ali, MKAA Khan… - Procedia Computer …, 2015 - Elsevier
Electromyography (EMG) measures muscle response or electrical activity in response to a
nerve's stimulation of the muscle. EMG is generally acquired through surface and needle or …

Muscle weakness assessment tool for automated therapy selection in elbow rehabilitation

S Gupta, A Agrawal, E Singla - Robotica, 2023 - cambridge.org
Clinical observations and subjective judgements have traditionally been used to evaluate
patients with muscular and neurological disorders. As a result, identifying and analyzing …

Development of a model for sEMG based joint-torque estimation using Swarm techniques

K Nurhanim, I Elamvazuthi, LI Izhar… - 2016 2nd IEEE …, 2016 - ieeexplore.ieee.org
Over the years, numerous researchers have explored the relationship between surface
electromyography (sEMG) signal with joint torque that would be useful to develop a suitable …

sEMG-based estimation of human arm endpoint stiffness using long short-term memory neural networks and autoencoders

Y Ma, Q Liu, H Liu, W Meng - International Conference on Intelligent …, 2022 - Springer
Human upper limb impedance parameters are important in the smooth contact between
stroke patients and the upper limb rehabilitation robot. Surface electromyography (sEMG) …

Observer design for a nonlinear neuromuscular system with multi-rate sampled and delayed output measurements

Q Zhang, Z Sheng, K Kim… - 2019 American Control …, 2019 - ieeexplore.ieee.org
Robotic devices and functional electrical stimulation (FES) are utilized to provide
rehabilitation therapy to persons with incomplete spinal cord injury. The goal of the therapy …

Development of a surface EMG-based control system for controlling assistive devices: a study on robotic vehicle

K Uvanesh, SK Nayak, B Champaty… - Robotic Systems …, 2020 - igi-global.com
The current study discusses about the development of an EMG based wireless control
system for the patients suffering from high-level motor disability. Surface EMG (sEMG) …