Results 101 to 110 of about 45,362 (332)
Advanced Intelligent Systems, EarlyView.A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung +3 more
wiley +1 more source
Movement kinematics and proprioception in post-stroke spasticity: assessment using the Kinarm robotic exoskeleton [PDF]
, 2019 Background Motor impairment after stroke interferes with performance of everyday activities. Upper limb spasticity may further disrupt the movement patterns that enable optimal function; however, the specific features of these altered movement patterns,
Centen, Andrew +5 more
core +2 more sources
Advanced Intelligent Systems, EarlyView.This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi +8 more
wiley +1 more source
Applied Sciences, 2020 Clinical studies have demonstrated that robot-involved therapy can effectively improve the rehabilitation training effect of motor ability and daily behavior ability of subjects with an upper limb motor dysfunction. This paper presents an impedance-based
Leigang Zhang, Shuai Guo, Qing Sun
doaj +1 more source
Temporal-Difference Learning to Assist Human Decision Making during the Control of an Artificial Limb [PDF]
, 2013 In this work we explore the use of reinforcement learning (RL) to help with human decision making, combining state-of-the-art RL algorithms with an application to prosthetics. Managing human-machine interaction is a problem of considerable scope, and the
Dawson, Michael Rory +4 more
core +1 more source
Effects on mobility training and de-adaptations in subjects with Spinal Cord Injury due to a Wearable Robot: A preliminary report [PDF]
, 2016 open7noopenSale, Patrizio; Russo, Emanuele Francesco; Russo, Michele; Masiero, Stefano; Piccione, Francesco; Calabrò, Rocco Salvatore; Filoni, SerenaSale, Patrizio; Russo, Emanuele Francesco; Russo, Michele; Masiero, Stefano; Piccione, Francesco; Calabrò,
Emanuele Francesco Russo +6 more
core +1 more source
Advanced Intelligent Systems, EarlyView.A computational framework for optimizing strain sensor placement in wearable motion tracking systems is presented. By combining dense strain mapping with a genetic algorithm, the method discovers counterintuitive yet highly effective configurations that reduce joint angle error by 32%.
Minu Kim +4 more
wiley +1 more source
Portable robots for upper-limb rehabilitation after stroke: a systematic review and meta-analysis
Annals of MedicineBackground Robot-assisted upper-limb rehabilitation has been studied for many years, with many randomised controlled trials (RCTs) investigating the effects of robotic-assisted training on affected limbs.
Kevin C. Tseng +3 more
doaj +1 more source
Design and acceptability assessment of a new reversible orthosis [PDF]
, 2008 International audience— We present a new device aimed at being used for upper limb rehabilitation. Our main focus was to design a robot capable of working in both the passive mode (i.e.
Garrec, Philippe +7 more
core +5 more sources
A Fully Soft Sensing Suit With Optimal Sensor Placement for Real‐Time Motion Tracking
Advanced Intelligent Systems, EarlyView.A fully soft, skin‐conformable sensing suit integrating stretchable sensors, liquid metal wiring, and soft electrodes was developed using direct ink writing, with sensor placement optimized through an automated algorithmic pipeline. This system enables accurate and unobtrusive real‐time motion tracking, providing a scalable, material‐based solution to ...
Jinhyeok Oh, Joonbum Bae
wiley +1 more source