Prediction of Survival in Patients With Esophageal Cancer After Immunotherapy Based on Small-Size Follow-Up Data [0.03%]
基于小样本随访数据的免疫治疗后食管癌患者生存预测
Yuhan Su,Chaofeng Huang,Chen Yang et al.
Yuhan Su et al.
Esophageal cancer (EC) poses a significant health concern, particularly among the elderly, warranting effective treatment strategies. While immunotherapy holds promise in activating the immune response against tumors, its specific impact an...
Deep Attention Networks With Multi-Temporal Information Fusion for Sleep Apnea Detection [0.03%]
基于多时间信息融合的深度注意力网络在睡眠呼吸暂停检测中的应用研究
Meng Jiao,Changyue Song,Xiaochen Xian et al.
Meng Jiao et al.
Sleep Apnea (SA) is a prevalent sleep disorder with multifaceted etiologies that can have severe consequences for patients. Diagnosing SA traditionally relies on the in-laboratory polysomnogram (PSG), which records various human physiologic...
Corrections to "Sparse Multichannel Decomposition of Electrodermal Activity With Physiological Priors" [0.03%]
对基于生理先验的皮电活动稀疏多通道分解方法的修正性研究
Samiul Alam,Md Rafiul Amin,Rose T Faghih
Samiul Alam
[This corrects the article DOI: 10.1109/OJEMB.2023.3332839.]. © 2024 The Authors.
Novel Metrics for High-Density sEMG Analysis in the Time-Space Domain During Sustained Isometric Contractions [0.03%]
持续等长收缩状态下时空间域高密度sEMG信号的新评价指标
Giovanni Corvini,Michail Arvanitidis,Deborah Falla et al.
Giovanni Corvini et al.
Goal: This study introduces a novel approach to examine the temporal-spatial information derived from High-Density surface Electromyography (HD-sEMG). By integrating and adapting postural control parameters into a framework for the analysis...
A Review and Tutorial on Machine Learning-Enabled Radar-Based Biomedical Monitoring [0.03%]
一种基于机器学习的雷达生物医学监测的综述与教程
Daniel Krauss,Lukas Engel,Tabea Ott et al.
Daniel Krauss et al.
Radio detection and ranging-based (radar) sensing offers unique opportunities for biomedical monitoring and can help overcome the limitations of currently established solutions. Due to its contactless and unobtrusive measurement principle, ...
Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets [0.03%]
计算仿真虚拟病人减少数据集偏差和提高机器学习技术从嘈杂异构ICU数据集中检测ARDS的能力
Konstantin Sharafutdinov,Sebastian Johannes Fritsch,Mina Iravani et al.
Konstantin Sharafutdinov et al.
Goal: Machine learning (ML) technologies that leverage large-scale patient data are promising tools predicting disease evolution in individual patients. However, the limited generalizability of ML models developed on single-center datasets,...
EmRad: Ubiquitous Vital Sign Sensing Using Compact Continuous-Wave Radars [0.03%]
基于紧凑型连续波雷达的泛在生命体征感知（EmRad）系统
Nils C Albrecht,Dominik Langer,Daniel Krauss et al.
Nils C Albrecht et al.
In biomedical monitoring, non-intrusive and continuous tracking of vital signs is a crucial yet challenging objective. Although accurate, traditional methods, such as electrocardiography (ECG) and photoplethysmography (PPG), necessitate dir...
Thomas F Quatieri,Jing Wang,James R Williamson et al.
Thomas F Quatieri et al.
Goal: This paper introduces an automated post-traumatic stress disorder (PTSD) screening tool that could potentially be used as a self-assessment or inserted into routine medical visits to aid in PTSD diagnosis and treatment. Methods: With ...
Cole-Cole Model for the Dielectric Characterization of Healthy Skin and Basal Cell Carcinoma at THz Frequencies [0.03%]
用于表征健康皮肤和基底细胞癌的太赫兹频率介电模型的cole-cole模型
Enrico Mattana,Matteo Bruno Lodi,Marco Simone et al.
Enrico Mattana et al.
THz radiationeffectively probes biological tissue water content due to its high sensibility to polar molecules. Skin and basal cell carcinoma (BCC), both rich in water, have been extensively studied in the THz range. Typically, the Double D...
Fractional-Order Modeling of Arterial Compliance in Vascular Aging: A Computational Biomechanical Approach for Investigating Cardiovascular Dynamics [0.03%]
分数阶模型在血管老化中模拟动脉顺应性：一种计算生物力学方法，用于探究心血管动力学
Mohamed A Bahloul,Yasser Aboelkassem,Zehor Belkhatir et al.
Mohamed A Bahloul et al.
Goal: The goal of this study is to investigate the application of fractional-order calculus in modeling arterial compliance in human vascular aging. Methods: A novel fractional-order modified arterial Windkessel model that incorporates a fr...