Physics-Informed Deep Learning for Shear Wave Speed Estimation in MR Elastography [0.03%]
基于物理信息的深层学习在磁共振弹性成像剪切波速度估计中的应用
Stefan Martin,Jakob Schattenfroh,Patrick Schuenke et al.
Stefan Martin et al.
Objective: Magnetic Resonance Elastography (MRE) is a non-invasive imaging technique for mapping biomechanical properties of in vivo tissue, including shear wave speed (SWS), but involves intrinsically slow data acquisiti...
Decoder Design for Concurrent Estimation of Arousal and Performance from One Continuous and Two Binary Observations [0.03%]
一种从一个连续观测和两个二元观测同时估计唤醒程度和表现的解码器设计方法
Saman Khazaei,Jingyang Gong,Rose T Faghih
Saman Khazaei
Objective: Human cognitive functions are linked to hidden cognitive states, i.e., arousal and performance. The Yerkes-Dodson law suggests an inverted-U link between these two states, and they may need to be decoded concur...
Novel Event-Based Peripheral Oxygen Saturation Metrics Provide Complementary Information for OSA Classification [0.03%]
新型基于事件的外周血氧饱和度指标可为OSA分类提供互补信息
Xinlei Zhang,Fan Li,Yuguang Fang et al.
Xinlei Zhang et al.
Objective: The Apnea-Hypopnea Index (AHI) serves as the primary metric for Obstructive Sleep Apnea (OSA) severity but quantifies only event frequency, lacking critical information on the slope and temporal morphology of o...
Gold Nanoflowers Sensitivity and Selectivity Improvement by Thiolation to Detect Breast Cancer Volatile Organic Compound Biomarkers [0.03%]
硫化金纳米花用于检测乳腺癌挥发性有机化合物生物标志物灵敏度及选择性的提高
Malkari Sravani,Aniruddh Bahadur Yadav,Rahul Checker
Malkari Sravani
Breast cancer is a malignant disease, and patient prognosis significantly improves when detected at an early stage. Therefore, various advanced chemiresistive sensors have been adopted to detect Volatile Organic Compounds (VOCs), which are ...
A Scoping Review of Machine Learning Approaches for Predicting Lower Extremity Joint Contact Loads: Current Trends, Common Pitfalls and Future Directions [0.03%]
机器学习预测下肢关节接触载荷的综述：当前趋势、常见陷阱和未来方向
Philipp Krondorfer,Djordje Slijepcevic,Andreas Kranzl et al.
Philipp Krondorfer et al.
Human gait analysis quantifies locomotion and assesses gait performance, particularly for patients with musculoskeletal disorders. While instrumented 3D gait analysis is the gold standard, advancements in physics based musculoskeletal model...
A Bioinspired Gear-Rolling Knee Exoskeleton for Enhanced Human-Exoskeleton Kinematic Compatibility [0.03%]
一种仿生膝关节外骨骼，用于增强人机运动兼容性
Hui Li,Ruilin Liu,Jiahao Du et al.
Hui Li et al.
Objective: This paper aims to reduce human-exoskeleton knee joint misalignment arising from the nonuniform and subject-specific motion of the tibiofemoral joint, thereby improving kinematic compatibility between the user ...
A Fully Unsupervised Online Classification Algorithm for Event-Related Potential based Brain-Computer Interfaces [0.03%]
一种完全无监督的基于事件相关电位脑机接口在线分类算法
Jing Jin,Haoye Wang,Ian Daly et al.
Jing Jin et al.
Objective: Brain-computer interfaces (BCIs) based on event-related potentials (ERPs) are among the most accurate and reliable BCIs. However, current mainstream classification algorithms struggle to eliminate the need for ...
Computational modelling of cardiac perfusion to guide Percutaneous Coronary Intervention: a treatment planning tool [0.03%]
计算机模拟冠状动脉灌注以指导经皮冠状动脉介入治疗：一种治疗计划工具
Giovanni Montino Pelagi,Riccardo Maragna,Giovanni Valbusa et al.
Giovanni Montino Pelagi et al.
Objective: treatment of obstructive coronary artery disease (CAD) requires accurate planning to ensure effective revascularization and full restoration of myocardial perfusion. In this study, we introduce Virtual PCI, a n...
Stress Detection Using Heart Rate Variability and Respiratory Signals Derived From a Single-Lead ECG [0.03%]
基于单导联心电图的心率变异性及呼吸信号的压力检测方法研究
Alvaro A Jimenez-Ocana,Andres Pantoja,Pablo Armanac et al.
Alvaro A Jimenez-Ocana et al.
Stress detection is a widely studied field due to its significant implications for mental and physical health. While multimodal approaches show promising results, they present challenges related to hardware constraints and computational req...
Single-Stage Lesion Identification in $^{68}$Ga-DOTATATE PET Images [0.03%]
一种在$^{68}$Ga-DOTATATE-PET图像中进行单阶段病灶识别的方法
Xinyi Yang,Jonathan Wehrend,Jacob Bado et al.
Xinyi Yang et al.
Objective: Positron emission tomography (PET) is a commonly used imaging modality for assessment of neuroendocrine tumors (NETs), and lesion identification in PET images is a key step in the development of effective treat...