Render EEG-Based Brain-Computer Interfaces Calibration-Free: Trade Space for Time in EEG Decoding [0.03%]
基于EEG的脑机接口免校准：在EEG解码中用空间换取时间
Maohua Liu,Shi Wang,Wenzhe Cui et al.
Maohua Liu et al.
Goal: Electroencephalogram-based brain-computer interfaces (EEG BCIs) have broad applications in neurorehabilitation, clinical assessment, and assistive technologies. However, their practical deployment is severely limited by subject-specif...
When Kids Radiate: Low-Resolution Thermography for Total Energy Expenditure Estimation in Pediatric Patients - A Proof of Concept [0.03%]
当孩子发出辐射时：用于儿科患者总能量消耗估计的低分辨率热成像技术——一个概念验证
Sofiane Beloucif,Mario Francisco Munoz,Kevin Albert et al.
Sofiane Beloucif et al.
Goal: Remote metabolic monitoring is a growing field in pediatric care, aiming to reduce invasive procedures while ensuring continuous assessment. However, clinical adoption remains limited by occlusions, poor image quality, and the scarcit...
Gyrosphygmogram-Based Blood Pressure Estimation: A Comparative Study of Pulse Transit Time and CNN-LSTM Methods [0.03%]
基于陀螺血流图的血压估计：脉搏传输时间与CNN-LSTM方法的比较研究
Nadia Yaghoobi,Rakesh Sethi,Elise Huisman et al.
Nadia Yaghoobi et al.
Goal: Cuffless blood pressure (BP) monitoring is essential for continuous cardiovascular health assessment. This study evaluates the potential of a novel wearable signal, gyrosphygmogram (GSG), by comparing conventional pulse transit time (...
Daniel Krauss,Robert Richer,Nils Albrecht et al.
Daniel Krauss et al.
Accurate sleep monitoring is essential to assess sleep quality and diagnose sleep disorders. Although sleep laboratories provide precise assessments, they are expensive, labor-intensive, and unsuitable for long-term or large-scale monitorin...
Accurate and Generalizable Protein-Ligand Binding Affinity Prediction With Geometric Deep Learning [0.03%]
基于几何深度学习的精确且通用的蛋白质-配体结合亲和力预测
Krinos Li,Xianglu Xiao,Zijun Zhong et al.
Krinos Li et al.
Goal: Protein-ligand binding complexes are ubiquitous and essential to life. Protein-ligand binding affinity prediction (PLA) quantifies the binding strength between ligands and proteins, providing crucial insights for discovering and desig...
Leveraging Vision Transformers for High-Precision Classification of Cancer Cell Cultures: A Comparative Study on MDA-MB-231 and PC3 Datasets [0.03%]
基于视觉变换器的癌细胞培养物高精度分类方法及MDA-MB-231与PC3数据集上的比较研究
Noreen Fayyaz Khan,Lu Liu,Lucas Bierscheid et al.
Noreen Fayyaz Khan et al.
Goal: Accurate classification of cancer cell cultures is critical for understanding tumor behavior, drug responses, and disease progression. Traditional manual evaluation methods are often subjective and prone to errors, necessitating autom...
Distinguishing Gait Patterns in PD Patients Under Different Treatments via Recurrence Plots and Vision Transformer Fusion [0.03%]
基于复发图和视觉变换融合区分帕金森病患者不同治疗下的步态模式
Vasileios Skaramagkas,Georgios Karamanis,Iro Boura et al.
Vasileios Skaramagkas et al.
Goal: This study aims to develop an innovative gait analysis framework using recurrence plots (RPs) to differentiate gait patterns between Parkinson's disease (PD) patients under varying treatment regimes and healthy individuals. Methods: P...
Cuffless Noninvasive Continuous Blood Pressure Monitoring Using Superficial Temporal Arterial Tonometry [0.03%]
基于颞动脉张力的无袖带连续非侵入式血压监测
Ge Zhu,Zifan Jiang,Gary Strangman et al.
Ge Zhu et al.
Objective: Continuous monitoring of blood pressure (BP) is a key parameter for cardiovascular assessment and hemodynamics monitoring. Current noninvasive methods are limited by frequent calibration, motion and environmental artifacts, and d...
ReHeartNet: Reconstruct Electrocardiogram From Photoplethysmography by Using Dense Connected Deep Learning Model [0.03%]
基于密集连接深度学习模型的心电图光电容积描记信号重建方法
Shuenn-Yuh Lee,Kai-Ze Lei,Ju-Yi Chen et al.
Shuenn-Yuh Lee et al.
Goal: To enable comfortable and non-invasive heart rhythm monitoring, this work aims to reconstruct electrocardiogram (ECG) signals from photoplethysmogram (PPG) signals, eliminating the need for multiple electrode attachments, which are of...
3D Engineered Biomimetic Platform for Characterization of Collective Invasion, Tumor Emboli Formation, and Lymphatic Dissemination [0.03%]
一种三维工程仿生平台用于表征集体侵袭、肿瘤栓子形成和淋巴扩散
Caroline Way,Ralph F Erdmann,Larisa Gearhart-Serna et al.
Caroline Way et al.
Goal: Emerging evidence in diverse tumor types establishes a link between lymphatic dissemination and collective tumor cell invasion. To simulate the biomechanical features of the tumor-lymphatic microenvironment, we developed a 3D tumor-ly...