Classification of Aortic Stenosis Patients via ECG-Independent Multi-Site Measurements of Cardiac-Induced Accelerations and Angular Velocities at the Skin Level [0.03%]
基于心脏诱发加速度和角速度的主动脉瓣狭窄患者分类算法
Chiara Romano,Emanuele Maiorana,Annunziata Nusca et al.
Chiara Romano et al.
Goal: To evaluate the suitability of seismocardiogram (SCG) and gyrocardiogram (GCG) recorded at the skin level to classify aortic stenosis (AS) patients from healthy volunteers, and to determine the optimal sensor position for the classifi...
A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory Features [0.03%]
强化学习在重症监护中制定最优治疗策略的模型：心血管呼吸特征作用评估
Cristian Drudi,Maximiliano Mollura,Li-Wei H Lehman et al.
Cristian Drudi et al.
Goal: The purpose of this study is to evaluate the importance of cardiorespiratory variables within a Reinforcement Learning (RL) recommendation system aimed at establishing optimal strategies for drug treatment of septic patients in the in...
Assessing High-Order Links in Cardiovascular and Respiratory Networks via Static and Dynamic Information Measures [0.03%]
基于静态和动态信息测量的心血管和呼吸网络的高阶链接评估
Gorana Mijatovic,Laura Sparacino,Yuri Antonacci et al.
Gorana Mijatovic et al.
Goal: The network representation is becoming increasingly popular for the description of cardiovascular interactions based on the analysis of multiple simultaneously collected variables. However, the traditional methods to assess network li...
Scott Schoen Jr,Alexis Prasov,Ion Candel et al.
Scott Schoen Jr et al.
Assessment of trauma-induced hemorrhage with ultrasound is particularly challenging outside of the clinic, where its detection is crucial. The current clinical standard for hematoma detection - the focused assessment with sonography of trau...
Characterization of Sleep Structure and Autonomic Dysfunction in REM Sleep Behavior Disorder [0.03%]
REM睡眠行为障碍的睡眠结构和自主神经功能特征研究
Nicla Mandas,Maximiliano Mollura,Giulia Baldazzi et al.
Nicla Mandas et al.
Goal: REM Sleep Behavior Disorder (RBD) is a REM parasomnia that is associated to high risk of developing α-synucleinopathies, as Parkinson's disease (PD) or dementia with Lewy bodies, over time. This study aims at investigating the presen...
Effect of Preadolescents' Obesity on Inhibitory Control During Stop-Signal Task: A Functional EEG Network Study [0.03%]
儿童肥胖对停止信号任务中抑制控制功能EEG网络的影响研究
Yuqin Li,Qian Yang,Yuxin Liu et al.
Yuqin Li et al.
Objectives. Until now, limited knowledge remains regarding the association among childhood obesity, cognitive behavior, and brain networks. Utilizing a publicly available dataset, we aimed to investigate the relationships between childhood ...
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...