Insights from a Discrete Generalized Beta Distribution analysis of heart rate and blood pressure variability: An integrated approach to study end- stage renal disease [0.03%]
基于心率和血压变异性的离散广义贝塔分布分析洞察：一种用于研究终末期肾病的综合方法
Alejandro Aguado-García,Claudia Lerma,Juan C Echeverria et al.
Alejandro Aguado-García et al.
The study of inter-beat intervals (IBI) and systolic blood pressure (SBP) fluctuations is of public health importance. Here we obtain insights about their underlying dynamics by means of an innovative study of the distribution of their rank...
Research on Combining Motor Imagery and Somatosensory Attentional Orientation to Enhance BCI Performance [0.03%]
结合运动想象和躯体感觉注意定向以增强BCI性能的研究
Wei Jianqiu,Banghua Yang,Xiang Chen et al.
Wei Jianqiu et al.
In this study, we propose a motor imagery(MI) method based on Somatosensory Attentional Orientation(SAO) to enhance the performance of MI based brain-computer interfaces (BCI). In this BCI system, participants perform unilateral hand MI tas...
Assessing photoplethysmography signal quality for wearable devices during unrestricted daily activities [0.03%]
评估可穿戴设备在自由日常活动中光容积描记信号质量
Liang Wei,Yushun Gong,Yunchi Li et al.
Liang Wei et al.
Photoplethysmography (PPG) is widely used in wearable health monitors for tracking fundamental physiological parameters (e.g., heart rate and blood oxygen saturation) and advancing applications requiring high-quality signals-such as blood p...
Stress Detection Using Time-Frequency Analysis and Machine Learning Framework [0.03%]
基于时频分析和机器学习框架的压力检测方法研究
Subathra P,Malarvizhi Subramani,Shantanu Patil et al.
Subathra P et al.
Stress is a prevalent and inherent phenomenon in people. It triggers the production of hormones that assist in managing the scenarios; nevertheless, chronic stress adversely impacts physical and mental health, which may result in detrimenta...
MR-based synthetic CT generation using dual-attention enhanced 3D Conditional GAN for head and neck radiotherapy [0.03%]
基于双注意力增强的3D条件生成对抗网络的MR图像合成CT在头颈部放疗中的应用研究
Fengfeng He,Kang Tan,Shenglin Liu et al.
Fengfeng He et al.
This study aims to synthesize CT from MR images for radiotherapy planning of head and neck tumor using an improved three-dimensional conditional generative adversarial network (3D cGAN) based on dual-attention modules.
Methods: A total ...
Miniaturized low-field thoracic magnetic stimulation device for assessing effects on peripheral oxygen saturation levels in healthy rats [0.03%]
一种微型低磁场胸部磁刺激装置用于评估健康大鼠外周血氧饱和度变化的效果
Jennyfer Moreno,Saúl Manuel Domínguez-Nicolás,Jorge Gutierrez Ojeda et al.
Jennyfer Moreno et al.
Objective: This study aimed to develop a miniaturized low-field thoracic magnetic stimulation (LF-ThMS) device to evaluate its effects on peripheral oxygen saturation (SpO2) in healthy rats. This investigation was motivat...
Small-object-sensitive deep reinforcement learning for fully automatic 3D vessel segmentation in medical images [0.03%]
面向医学图像中小目标敏感的深度强化学习的全自动三维血管分割方法
Jingliang Zhao,Xianyang Lin,An Zeng et al.
Jingliang Zhao et al.
Pre-extracted lumen information of 3D vessel in medical images can effectively assist doctors in intraoperative navigation and postoperative evaluation, which has important clinical value. The main challenge faced by fully automatic 3D vess...
An Automated Classification of Brain White Matter Inherited Disorders (Leukodystrophy) Using MRI Image Features [0.03%]
基于MRI图像特征的自动分类脑白质遗传性疾病(髓鞘溶解症)的方法
Zahra Seraji,Saeid Rashidi,Morteza Heidari et al.
Zahra Seraji et al.
Leukodystrophies are a group of inherited disorders that predominantly and selectively affect the white matter of the central nervous system. Their overlapping clinical and imaging manifestations make a timely and accurate diagnosis challen...
Towards Interpretable and Edge-Intelligent Masseter Monitoring: A Self-Powered Framework for On-Device and Continuous Assessment [0.03%]
面向解释性和边缘智能咬肌监测的自供电框架实现设备内连续评估的方法研究
Boyu Li,Xingchun Zhu,Yonghui Wu
Boyu Li
Continuous and interpretable monitoring of masseter muscle activity is essential for the assessment of sleep bruxism (SB) and temporomandibular dysfunction (TMD). However, existing surface electromyography (sEMG) systems remain constrained ...
Evaluating the Robustness of Dosiomics Features Over Treatment Planning Parameters: A Phantom-Based Study [0.03%]
基于体模的剂量组学特征评估：治疗计划参数下的稳健性研究
Mostafa Rezaei,Abbas Haghparast,Khadijah Hosseini et al.
Mostafa Rezaei et al.
Abstract

Dosimetric biomarkers, in terms of dosiomics features, play a crucial role in modeling radiotherapy and should be analyze d for their robustness and stability. This study aims to investigate how these dosiomics features wi...