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...
Continuous Patient-Independent Estimation of Respiratory Rate and Blood Pressure Using Robust Spectro-Temporal Features Derived From Photoplethysmogram Only [0.03%]
仅基于光电容积描记波形的稳健光谱时序特征提取连续无创呼吸和血压估计算法
Muhammad Ahmad Sultan,Wala Saadeh
Muhammad Ahmad Sultan
Objective: A patient-independent approach for continuous estimation of vital signs using robust spectro-temporal features derived from only photoplethysmogram (PPG) signal. Methods: In the pre-processing stage, we remove baseline shifts and...
Foteini Savvidou,Sotiris A Tegos,Panagiotis D Diamantoulakis et al.
Foteini Savvidou et al.
Continuous and unobtrusive monitoring of daily human activities in homes can potentially improve the quality of life and prolong independent living for the elderly and people with chronic diseases by recognizing normal daily activities and ...
Multiscale Model Development for Electrical Properties of Thyroid and Parathyroid Tissues [0.03%]
甲状腺和甲状旁腺组织电学特性多尺度模型研究
M Matella,K Hunter,S Balasubramanian et al.
M Matella et al.
Goal: Electrical impedance spectroscopy (EIS) has been suggested as a possible technique to differentiate between thyroid and parathyroid tissue during surgery. This study aims to explore this potential using computational models to simulat...
Ghufran A Alsalloum,Nour M Al Sawaftah,Kelly M Percival et al.
Ghufran A Alsalloum et al.
The concept of Digital Twins (DTs), software models that mimic the behavior and interactions of physical or conceptual objects within their environments, has gained traction in recent years, particularly in medicine and healthcare research....