An Investigation Into the Electrical Activity of Tender, Resting Paraspinal Muscles Using Surface Electromyography: A Pilot Study [PDF]
, 1988 Abnormal resting paraspinal muscle activity has been claimed to be responsible for changes in spinal tissue texture which are detectible by manual palpation.
Hubbard, A, Fryer, Gary, Ball, Kevin
core +3 more sources
Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions. [PDF]
, 2017 Fall prediction is a multifaceted problem that involves complex interactions between physiological, behavioral, and environmental factors. Existing fall detection and prediction systems mainly focus on physiological factors such as gait, vision, and ...
Jung, Tzyy-Ping +2 more
core +5 more sources
Movement recognition via channel-activation-wise sEMG attention
Methods, 2023 ABSTRACTContextSurface electromyography (sEMG) signals contain rich information recorded from muscle movements and therefore reflect the user’s intention. sEMG has seen dominant applications in reha-bilitation, clinical diagnosis as well as human engineering, etc.
Jiaxuan Zhang +4 more
openaire +2 more sources
A quantitative taxonomy of human hand grasps [PDF]
, 2019 Background: A proper modeling of human grasping and of hand movements is fundamental for robotics, prosthetics, physiology and rehabilitation. The taxonomies of hand grasps that have been proposed in scientific literature so far are based on qualitative ...
Atzori, Manfredo +5 more
core +1 more source
Full gait cycle analysis of lower limb and trunk kinematics and muscle activations during walking in participants with and without ankle instability [PDF]
, 2018 This document is the Accepted Manuscript version of the following article: Lynsey Northeast, Charlotte N. Gautrey, Lindsay Bottoms, Gerwyn Hughes, Andrew C. S.
Davis +29 more
core +6 more sources
sEMG-Based Gesture Classifier for a Rehabilitation Glove
Frontiers in Neurorobotics, 2022 Human hand gesture recognition from surface electromyography (sEMG) signals is one of the main paradigms for prosthetic and rehabilitation device control. The accuracy of gesture recognition is correlated with the control mechanism. In this work, a new classifier based on the Bayesian neural network, pattern recognition networks, and layer recurrent ...
Dorin Copaci +4 more
openaire +4 more sources
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges
Advanced Materials Technologies, EarlyView.This review highlights interdisciplinary technological advances in fabric‐based robotic gloves, focusing on progress in design, fabrication, actuation, sensing, control, and power and energy requirements. It also addresses performance testing and validation, including biomechanical, strength, functional, user experience, and durability assessments, to ...
Ayse Feyza Yilmaz +2 more
wiley +1 more source
Applied Force and sEMG Muscle Activity Required To Operate Pistol Grip Control in an Electric Utility Aerial Bucket [PDF]
, 2017 Electric utility line workers report high levels of fatigue in forearm muscles when operating a conventional pistol grip control in aerial buckets.
Garces, Casey D. +5 more
core +1 more source
Advanced Materials Technologies, EarlyView.This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +4 more
wiley +1 more source