Results 71 to 80 of about 1,996,141 (289)
Postural Control Performance on the Functional Reach Test: Validity of the Kids-Balance Evaluation Systems Test (Kids-BESTest) Criteria [PDF]
Rosalee Dewar +4 more
openalex +1 more source
Introduction Low muscle strength is common and important in geriatric syndromes including frailty and sarcopenia. The epidemiology of grip strength of older people under long-term care facilities has been little explored.
Agnieszka Wiśniowska-Szurlej +4 more
semanticscholar +1 more source
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek +7 more
wiley +1 more source
OBJECTIVE: The objective of this study was to compare the dislocation of the center of gravity and postural balance in sedentary and recreational soccer players with and withoutanterior cruciate ligament (ACL) reconstruction using the Biodex Balance ...
Angelica Castilho Alonso +2 more
doaj +1 more source
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa +10 more
wiley +1 more source
Background Impaired postural control in Parkinson’s disease (PD) seriously compromises life quality. Although balance training improves mobility and postural stability, lack of quantitative studies on the neurophysiological mechanisms of balance training
Zahra Rahmati +4 more
doaj +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
This study introduces a hybrid robot that integrates mechanical assistance by musculoskeletons (i.e., soft pneumatic muscle with rigid exoskeletal extensions), neuromuscular electrical stimulation, and vibrotactile feedback in a lightweight wearable mechatronic complex applicable to the paretic ankle–foot poststroke for gait restoration. The system can
Fuqiang Ye +16 more
wiley +1 more source
Background Virtual reality (VR) training with motion-controlled console games can be incorporated into stroke rehabilitation programs. The use of a variety of gaming software can provide the patient with an opportunity to perform activities that are ...
Myungmo Lee +2 more
semanticscholar +1 more source
A multimaterial robotic gripper fabricated via multimaterial 3D printing integrates conductive thermopolymer joints with flexible elastomeric components. Joule heating enables precise joint‐level stiffness modulation, enhanced by embedded temperature sensors, passive shape restoration, and active cooling, enabling versatile manipulation capabilities ...
Daniel Jee Seng Goh +4 more
wiley +1 more source

