Free-Structure based Efficient NIR-II FMT: A Solution for Human Hepatocellular Carcinoma Detection [0.03%]
基于自由结构的高效近红外II荧光分子断层扫描技术：人体肝癌检测新方法
Ziyu Pei,Yifei Du,Chunzhao Li et al.
Ziyu Pei et al.
Current intraoperative hepatocellular carcinoma (HCC) detection primarily relies on surgeon visual inspection, palpation, and intraoperative ultrasound, which struggle to precisely localize tumor 3D position and morphology for surgical guid...
RAP2G: Relation-Aware Progressive Pseudo-label Generation for Cross-subject MI-EEG Recognition [0.03%]
面向跨受试者的MI-EEG信号识别的Relation-Aware渐进式伪标签生成算法
Xinhui Li,Xun Song,Qiangyu Ma et al.
Xinhui Li et al.
Objective: Motor imagery electroencephalography (MI-EEG) classification is essential for brain-computer interfaces (BCIs), but achieving high accuracy across different individuals remains challenging due to significant in...
Cycle-Aware Masked Self-Supervised Learning for Parkinson's Disease Diagnosis Using Wearable Time-Series Data in Daily Activities [0.03%]
基于可穿戴设备的时间序列数据的周期感知自监督学习在帕金森病诊断中的应用研究
Yun Yang,Chuxiong Huang,Xulong Wang et al.
Yun Yang et al.
Parkinson's Disease (PD) is a prevalent and progressive neurodegenerative disorder. Wearable sensors enable automated analysis of human activities in daily life, providing a promising solution for continuous monitoring of motor symptoms. Ho...
Inter-Avalanche Intervals and a Temporal-Scaling Signature in EEG Criticality [0.03%]
脑电临界性中的雪崩事件间间隔及时间标度特征
Waleed Bin Owais,Herbert F Jelinek,Ronald J Swatzyna et al.
Waleed Bin Owais et al.
Objective: To investigate whether the temporal organization of resting-state electroencephalography (EEG) is consistent with statistical properties emphasized in crucial-event (CE) theory by examining the quiescent period...
Wireless-Powered Flexible Bioelectronic Implants with Deformation-Aware Optimization [0.03%]
具有变形感知优化的无线供电柔性生物电子植入器件
Tianxiang Zheng,Shoulu Gong,Ning Kang et al.
Tianxiang Zheng et al.
Wireless power transfer (WPT) enables stable energy delivery to implantable medical devices without batteries, but optimizing flexible and deformable receiving coils for biological environments remains a critical challenge. This study intro...
Fast Prospective Motion Correction for MRI Based on Electromagnetic Induction Coils with Low Footprint and In-place Calibration [0.03%]
基于电磁感应线圈的快速MRI前瞻性运动校正（低足迹和原位校正）
Zhanbin Dong,Tuo Yu,Bingbing Zhao et al.
Zhanbin Dong et al.
Objective: The objective of this work is to develop an electromagnetic induction coil (EMIC)-based motion tracking system with low footprint and in-place calibration, enabling high-temporal-resolution prospective motion c...
Digital Twin Modeling of MR Gradient Coils for Accurate Gradient Safety Evaluation of Implantable Medical Devices [0.03%]
基于植入式医疗器械准确梯度安全性评估的磁共振梯度线圈数字孪生建模方法研究
Boya Xu,Peishan Li,Anqi Ma et al.
Boya Xu et al.
Even with identical coil sizes and gradient strengths, differences in coil design can cause variations in field distribution, affecting gradient safety assessment of magnetic resonance imaging (MRI) for implanted devices. This study propose...
A Method for Improving Human Joint Moment Estimation during Lower Limb Rehabilitation Training Based on sEMG Signals [0.03%]
一种基于表面肌电信号改善下肢康复训练中的人体关节力矩估计的方法
Wei Wei,Xiangyu Cheng,Jian Luo et al.
Wei Wei et al.
Objective: Accurate knee joint moment estimation is vital for quantitative assessment in lower limb rehabilitation but remains challenging due to complex musculoskeletal dynamics. This study proposed a joint moment estima...
Assessment of skin stiffness in systemic sclerosis using optical coherence elastography: A comparative study with histology and clinical parameters [0.03%]
光学相干弹性成像技术评估系统性硬化症患者的皮肤僵硬度并将其与组织学和临床参数进行比较研究
Harshdeep Singh Chawla,Pavel Nikitin,Minghua Wu et al.
Harshdeep Singh Chawla et al.
Objective: Systemic sclerosis (SSc), or scleroderma, is an autoimmune disorder marked by increased mortality due to excessive collagen accumulation in the body. The modified Rodnan Skin Score (mRSS) is the standard for as...
Modeling Dyadic Interdependence in Endocrine Functioning: A Multilevel Machine Learning Study of Adults with Cancer and Their Caregivers [0.03%]
基于成人癌症患者及其照顾者的多层次机器学习研究中的内分泌功能双向依赖关系建模
Jerry Bonnell,Nikhita Guhan,Thomas C Tsai et al.
Jerry Bonnell et al.
Objective: This study evaluated dyadic endocrine interdependence among cancer patients and their spousal caregivers using a machine learning (ML) framework that assesses how partner-level information improves prediction o...