Results 71 to 80 of about 5,911,883 (274)

An Interpretable, Data‐Driven, Hierarchical Multi‐Domain Fusion Framework for Classification and Motor Function Scoring in Chronic Ankle Instability

Advanced Science, EarlyView.
An AI‐enabled digital twin framework integrates wearable EMG sensing with hierarchical multi‐domain fusion to classify chronic ankle instability, distinguish clinically relevant subtypes, and generate continuous motor function scores. Clinically interpretable functional stratification and SHAP‐based biomarker analysis provide transparent decision ...
Tianle Jie, Datao Xu, Zhifeng Zhou, Bas Van Hooren, Huiyu Zhou, Yi Yuan, Xiangli Gao, Monèm Jemni, Liangliang Xiang, Meizi Wang, Justin Fernandez, Tibor J. Goda, Yaodong Gu   +12 more
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

The re-education of upper limb movement post stroke using iterative learning control mediated by electrical stimulation

, 2009
An inability to perform tasks involving reaching is a common problem following stroke. Evidence supports the use of robotic therapy and electrical stimulation (ES) to reduce upper limb impairments following stroke, but current systems may not encourage ...
Hughes, Ann-Marie
core   +1 more source

Combining electrical stimulation mediated by iterative learning control with movement practice using real objects and simulated tasks for post-stroke upper extremity rehabilitation [PDF]

, 2014
Objective: task specific training and Electrical stimulation (ES) are techniques used in rehabilitation of the upper extremity post stroke. This study describes the feasibility of using a rehabilitation system that combines personalised, precisely ...
Hallewell, Emma, Freeman, Christopher, Meadmore, Katie, Hughes, Ann-Marie, Kutlu, Mustafa   +4 more
core   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

Fatigue‐Driven Adaptive Assistance for a Semi‐Active Upper‐Limb Occupational Exoskeleton

Advanced Intelligent Systems, EarlyView.
Physical fatigue during a physical activity is estimated in real time to enable adaptive exoskeleton assistance. By continuously adjusting the level of support according to the user’s fatigue, this approach reduces physical demand and provides a pathway toward personalized exoskeleton assistance.
Seemab Zakir, Lorenzo Grazi, Simone Prisinzano, Francesco Giovacchini, Nicola Vitiello, Emilio Trigili, Simona Crea   +6 more
wiley   +1 more source

An Integrated Fabric‐Pneumatic Soft Sensing System for Multi‐Site Muscle Activity Decoding

Advanced Intelligent Systems, EarlyView.
Fabric‐pneumatic chambers convert muscle deformation into pressure signals without electronics at the body‐contact sensing interface. A unified processing pipeline enables static posture classification, continuous elbow‐angle estimation, forearm gesture recognition, and knee‐movement detection across three anatomical sites.
Qifeng Xun, Jonathan William Ambrose, Quan Xiong, Chen Hua Yeow   +3 more
wiley   +1 more source

A design framework for a home-based stroke rehabilitation system: identifying the key components [PDF]

, 2009
. We present a design framework for a sensor-based stroke rehabilitation system for use at home developed through the analysis of data collected from a series of workshops.
Wilkinson, Anna, Pearson, Will, Axelrod, Lesley, Rodden, Tom, Rennick Egglestone, Stefan, Burridge, Jane, Rickets, Ian, Hughes, Ann-Marie, Ng, Kher, Robertson, Zoe, Probert-Smith, Penny, Mawson, Sue, Turk, Ruth, Shublaq, Nour, Fitzpatrick, Geraldine, Nind, Thomas   +15 more
core   +2 more sources

Passive and Active Training Control of an Omnidirectional Mobile Exoskeleton Robot for Lower Limb Rehabilitation

Actuators
As important auxiliary equipment, rehabilitation robots are widely used in rehabilitation treatment and daily life assistance. The rehabilitation robot proposed in this paper is mainly composed of an omnidirectional mobile platform module, a lower limb ...
Suyang Yu, Congcong Liu, Changlong Ye, Rongtian Fu   +3 more
doaj   +1 more source

Arthrogryposis Multiplex Congenita in Pediatric Age: Correlation Between MUScular MRI and Functional Evaluation (AMUSE), Toward a Biomechanical Model

American Journal of Medical Genetics Part C: Seminars in Medical Genetics, EarlyView.
ABSTRACT Arthrogryposis Multiplex Congenita (AMC) is a group of diseases with joint limitations at two or more distinct joint levels at birth. Joint limitations are not progressive, but the functional consequences have a lifelong impact on patients. The management of these conditions is therefore demanding, necessarily multidisciplinary, and is a long ...
Alicia‐Marine Milot, Mariya Raykova, Claire Huzar, Véronique Thellier, Nicolas Hergibo, Marjolaine Gauthier, Gipsy Billy‐Lopez, Chantal Durand, Frédérique Nugues, Véronique Bourg, Klaus Dieterich   +10 more
wiley   +1 more source