Results 181 to 190 of about 74,093 (258)

DCPA-SNN, Direct-Coding-Physics-Aware Spiking Neural Network: A Framework for Wearable ECG Denoising Under Dynamic-Noise Conditions. [PDF]

Sensors (Basel)
Ren Y, Zuo H, Cai Y, Wang S, Ran G, Lai D.   +5 more
europepmc   +1 more source

9.4‐Tesla magnetic resonance imaging in focal epilepsy patients with high‐resolution surface‐based profiling of focal cortical dysplasias

Epilepsia, EarlyView.
Abstract Objective The detection of subtle epileptogenic lesions such as focal cortical dysplasias (FCDs) is a clinical challenge in the management of drug‐resistant focal epilepsy (DRFE). Ultra‐high‐field (UHF) magnetic resonance imaging (MRI) offers increased signal‐to‐noise ratios and spatial resolution compared to 3‐T MRI and may improve diagnostic
Cornelius Kronlage, Pascal Martin, Benjamin Bender, Gisela E. Hagberg, Jonas Bause, Joana R. A. Loureiro, Mathilde Ripart, Sophie Adler, Konrad Wagstyl, Holger Lerche, Niels K. N. Focke, Esther Kuehn   +11 more
wiley   +1 more source

Variance‐Empirical Mode Decomposition Method for Fault Detection in MMC‐HVDC Transmission Lines

Energy Science &Engineering, EarlyView.
A variance‐embedded empirical mode decomposition (VEMD) method is proposed for fast and accurate fault detection in MMC‐HVDC transmission lines. By combining variance analysis with EMD, the method reliably detects various faults without communication links and remains robust to noise and non‐fault transients.
Seyed Amir Hosseini, Behrooz Taheri
wiley   +1 more source

Design of a Multi‐Complex Disturbance Generator Using Virtual Instrumentation for Power Quality Monitoring Research

Energy Science &Engineering, EarlyView.
A real‐time power quality disturbance generator is developed using virtual instrumentation based on LabVIEW and NI MyDAQ. The system generates IEEE‐standard PQ events with controllable noise and harmonics. Measurement uncertainty analysis confirms its reliability for realistic testing of Power Quality Disturbance detection and classification algorithms.
Abdullah Saud, Adil Usman, Muhammad Umar Khan, Sumair Aziz, Muhammad Faisal Nadeem Khan, Muhammad Akmal   +5 more
wiley   +1 more source

MCA-Mamba-2: A Multi-Channel Attention State-Space Network for Ultrasonic Guided Wave Damage Detection in Small-Diameter Pipes. [PDF]

Sensors (Basel)
Yu Q, Zhou R, Liang Z, Liu Y.
europepmc   +1 more source

Monitoring and assessment for obstructive sleep apnea

FlexMat, EarlyView.
This review systematically classifies Obstructive Sleep Apnea (OSA) monitoring indicators into three categories: physical, biochemical, and electrophysiological indicators, and lists several methods for each category. Abstract Obstructive sleep apnea (OSA) is a common chronic sleep‐disordered breathing disease characterized by recurrent upper airway ...
Yaowen Xu, Feifei Lin, Shujiao Chen, Zhen You, Shujing Zhu, Weiwei Zhao, Qiang Zhao   +6 more
wiley   +1 more source

Impact of sequence selection on postoperative MRI interpretability and artifact reduction in simulated mandibular trauma. [PDF]

Front Oral Health
Zedler D, Al-Haj Husain A, Sandhu S, Wagner MEH, Stadlinger B, Essig H, Gassner Y, Frauenfelder T, Burian E.   +8 more
europepmc   +1 more source

Body‐integrated photonic biosensors: Illuminating the path to active healthcare

FlexMat, EarlyView.
Body‐integrated photonic biosensors are promising tools for active healthcare. These optical devices can be worn, implanted, or swallowed to monitor health signals continuously. This review introduces key sensing modalities, including fluorescence, colorimetry, SPR, LSPR, SERS, and light‐modulating materials.
Jiayue Gu, Xingming Wen, Qihang Yan, Yining Zhao, Linghao Yuan, Siyuan Chen, Yue Ma, Zhengyue Fang, Dong Lei, Yuxin Liu, Ze Xiong   +10 more
wiley   +1 more source

Toward an optimized PET reconstruction protocol for spinal cord: superiority of OSEM with TOF and PSF. [PDF]

EJNMMI Phys
Wang J, Huang J, Cui B, Yang H, Tian D, Ma J, Duan W, Chen Z, Lu J.   +8 more
europepmc   +1 more source