Results 41 to 50 of about 4,504,110 (182)

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

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Skin‐Conformal Myography for Real‐Time Hand Tracking Using a Laser‐Induced Graphene Strain Sensor Array

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu, Monther AlSiyabi, Aida Ebrahimi   +2 more
wiley   +1 more source

Exploring the Role of sEMG Monitoring of Facial and Cervical Muscles in Parkinson’s Disease Patients Undergoing Speech Therapy: A Feasibility Study

Applied Sciences
Background: Surface electromyography is emerging as a noninvasive tool to examine neurogenic dysphagia in Parkinson’s disease (PD). This pilot study evaluated the feasibility of surface electromyography (sEMG) (acceptability, resource use, and safety ...
Elisa Boccali, Federica Amitrano, Armando Coccia, Adriana Olivares, Laura Comini, Giovanni D’Addio, Davide Antonio Di Pietro   +6 more
doaj   +1 more source

High-Performance Surface Electromyography Armband Design for Gesture Recognition

Sensors, 2023
Wearable surface electromyography (sEMG) signal-acquisition devices have considerable potential for medical applications. Signals obtained from sEMG armbands can be used to identify a person’s intentions using machine learning.
Ruihao Zhang, Yingping Hong, Huixin Zhang, Lizhi Dang, Yunze Li   +4 more
doaj   +1 more source

Toward Complex In‐Car Environment Human–Vehicle Interactions Through Smart Glasses and sEMG‐Based Gesture Recognition

Advanced Intelligent Systems, EarlyView.
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang, Wenting Wei, Kuang Li, Chuyuan Bian, Junkai Xu, Jianing Qiu, Yuxi Lu, Bin He, Shuo Jiang   +8 more
wiley   +1 more source

A Comprehensive Review on Additive Manufacturing of Smart Components: Technologies, Applications, and Future Scope

Advanced Intelligent Systems, EarlyView.
How can additive manufacturing enable components that sense, adapt, heal, and power themselves? This review synthesizes recent advances in smart functionalities, manufacturing technologies, and intelligent design strategies, revealing a pathway toward fully integrated, autonomous, and multifunctional systems across diverse engineering sectors. Additive
Aiswarya Rony, P. M. Ushasree, Michael Short, Jinoop Arackal Narayanan   +3 more
wiley   +1 more source

Estimating different velocities in wrist movements from information contained in surface electromyography: Application of a machine learning technique

Sustainable Engineering and Innovation
The study of surface electromyography (sEMG) has several approaches. It is used to classify upper and lower extremity movements by identifying the muscle groups that have been excited to generate movements.
Camilo Leonardo Sandoval Rodriguez, D. M. Reyes-Bravo , A. F. Jimenez-Quezada, O. Lengerke   +3 more
doaj   +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

Effects of low-level laser therapy versus soft occlusive splints on mouth opening and surface electromyography in females with temporomandibular dysfunction: A randomized-controlled study.

PLoS ONE, 2021
BackgroundLow level lasers have been used as an alternative pain relief therapy for muscle and joint pain, since it induces analgesic, anti-inflammatory, and biomodulation effects of the physiological cell functions.
Tamer Shousha, Mohamed Alayat, Ibrahim Moustafa   +2 more
doaj   +1 more source