A5065328942- Heart Rate Variability and Autonomic Control
- Blood Pressure and Hypertension Studies
- Machine Learning in Healthcare
- Remote Sensing and Land Use
- Non-Invasive Vital Sign Monitoring
- Cardiovascular Health and Disease Prevention
- ECG Monitoring and Analysis
- Visual perception and processing mechanisms
- Neuroscience and Neural Engineering
- Muscle activation and electromyography studies
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Fluoride Effects and Removal
University of Electronic Science and Technology of China
2024
Wuhan Textile University
2024
Cuffless blood pressure (BP) measurement has the potential to break through way detect and prevent hypertension, but it is still challenging in meeting clinical performance requirements. The limited accuracy of current cuffless BP mainly attributed epistemic (model) aleatoric (data) uncertainties estimation methods. However, few previous studies have considered this problem. In study, we propose a parameterized model evidential ensemble learning (PEEL) framework with aim reduce uncertainty...
Abstract Objective. Pulse transit time (PTT) is a popular indicator of blood pressure (BP) changes. However, the relationship between PTT and BP somehow individual dependent, resulting in inaccuracy PTT-based estimation. Confounding factors, e.g., heart rate (HR), could be primary cause. In this study we attempt to explore impact HR as window look at influence confounding factors on BP. Approach. We investigated systolic (SBP) different levels by introducing heterogeneous treatment effects...
<sec> <title>BACKGROUND</title> Hypertension is a leading cause of cardiovascular disease and premature death worldwide it puts heavy burden on the healthcare system. It is, therefore, very important to detect evaluate hypertension related events so as for early prevention, detection management. can be evaluated in real time with wearable noninvasive cardiac signals, such electrocardiogram (ECG) photoplethysmogram (PPG). Most previous studies predicted from ECG PPG signals extracted features...
Abstract Background Hypertension is a leading cause of cardiovascular disease and premature death worldwide, it puts heavy burden on the healthcare system. Therefore, very important to detect evaluate hypertension related events enable early prevention, detection, management. can be detected in timely manner with cardiac signals, such as through an electrocardiogram (ECG) photoplethysmogram (PPG) , which observed via wearable sensors. Most previous studies predicted from ECG PPG signals...
From the perspective of iconography, this paper presents an in-depth analysis Dwelling in Fuchun Mountains, a classic work traditional Chinese landscape painting. This has been highly respected since Tang Dynasty and is regarded as one important representatives history Its rich connotation artistic value have always focus scholars' research. The thesis aims to deeply interpret historical cultural connotations symbolism embedded Mountains through iconographic method, from levels...