Respiratory Signal Processing and Analysis Using Flexible Capacitive Sensor Data
Capacitive pressure sensors based on poly(glycerol sebacate) (PGS) substrates are developed for continuous, non‐invasive respiratory monitoring. Integrated with a signal processing algorithm, they enable accurate tracking of thoracic expansion and retraction.
Bernardo A. Vicente +3 more
wiley +1 more source
Probabilistic Prognostics and Health Management of Power Transformers Using Dissolved Gas Analysis Sensor Data and Duval's Polygons. [PDF]
Kashiwagi FN +4 more
europepmc +1 more source
Photonic Hybrid Integration: Strategies and Promises of Advanced Additive Manufacturing
Heterogeneous photonic integration combines wafer bonding, transfer printing, and advanced multi‐photon lithography to realize compact, adaptable photonic systems. This review highlights breakthroughs in hybrid materials, metrology, and 4D printing, revealing how the convergence of traditional and emerging fabrication unlocks scalable, high‐performance
Zhitian Shi +3 more
wiley +1 more source
A Knowledge-Guide Data-Driven Model with Selective Wavelet Kernel Fusion Neural Network for Gearbox Intelligent Fault Diagnosis. [PDF]
Zhuang N, Ren Z, Yang D, Tian X, Wang Y.
europepmc +1 more source
Recent advances in nanophotonics‐based chiral biosensing approaches are comprehensively reviewed, highlighting key trends, advantages, and limitations of each technology. Special attention is given to emerging strategies that exploit magneto‐optical and quantum plasmonic phenomena to enhance sensitivity down to the level of a few molecules, or even a ...
Jorge Ricardo Mejía‐Salazar
wiley +1 more source
Acoustic-based fault diagnosis of electric motors using Mel spectrograms and convolutional neural networks. [PDF]
Uzel H +4 more
europepmc +1 more source
The state of the art of condition monitoring : where do we go from here? [PDF]
Catterson, Victoria +5 more
core
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
A fusion sparse learning algorithm for fault identification of rolling bearings. [PDF]
Liu Y, Liu J, Ma Y, Wang S, Zhang Q.
europepmc +1 more source
Recent Advances in Variable‐Stiffness Robotic Systems Enabled by Phase‐Change Materials
Phase‐change materials (PCMs), such as shape memory alloys, hydrogels, shape memory polymers, liquid crystal elastomers, and low‐melting‐point alloys, are driving advancements in stiffness‐tunable robotic systems across a wide range of applications. This review highlights recent progress in PCM‐enabled robotics, focusing on their underlying mechanisms,
Sukrit Gaira +5 more
wiley +1 more source

