Results 181 to 190 of about 69,800 (264)

Superior capsule reconstruction stabilizes the humeral head during scaption: in vivo 3-dimensional kinematic analysis using model-image registration. [PDF]

JSES Int
Hamada H, Matsuki K, Kamijo H, Hoshika S, Deguchi T, Takahashi N, Sugaya H, Banks SA.   +7 more
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Kinematic analysis of the back squat at different load intensities in powerlifters and weightlifters. [PDF]

Front Sports Act Living
Giustino V, Vicari DSS, Figlioli F, Gervasi M, Fernández Peña E, Schifaudo N, Tedesco M, Drid P, Paoli A, Battaglia G, Bianco A, Patti A.   +11 more
europepmc   +1 more source

Fluorescent Hydrogel‐Based Strain Sensor With Machine Learning‐Augmented Performance

Advanced Intelligent Discovery, EarlyView.
Fluorescent hydrogel strain sensor based on carbon quantum dots enabling optical readout of deformation through strain‐dependent emission changes, coupled with Random Forest analysis to capture nonlinear fluorescence‐concentration relationships and identify optimal sensing conditions. Hydrogels are ideal matrices for bio‐integrated wearable sensors due
Tailai Chen, Tianlong Liu, Chao Lu, Rimsha Malik, Jin Zhang   +4 more
wiley   +1 more source

Differential Effects of Levodopa and Stimulation on Post-Surgery Freezing of Gait in Subthalamic Nucleus Deep Brain Stimulation Parkinson's Disease Patients: A Clinical and Kinematic Analysis. [PDF]

Mov Disord Clin Pract
Barbosa R, Bastos P, Pita Lobo P, Rodrigues CC, Valadas A, Correia Guedes L, Mano B, Alberto S, Paixão V, Rosa MM, Matias R, Martins D, Mendonça M, Coelho M.   +13 more
europepmc   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

Bradykinesia in dystonic hand tremor: kinematic analysis and clinical rating. [PDF]

Front Hum Neurosci
Matejicka P, Kajan S, Goga J, Straka I, Balaz M, Janovic S, Minar M, Valkovic P, Hajduk M, Kosutzka Z.   +9 more
europepmc   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

A deep learning-based approach for unbiased kinematic analysis in CNS injury. [PDF]

Exp Neurol
Ascona MC, Tieu EK, Gonzalez-Vega E, Liebl DJ, Brambilla R.   +4 more
europepmc   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source