Exploiting photoplethysmography signals (PPG) for non-invasive blood pressure (BP)
measurement is interesting for various reasons. First, PPG can easily be measured using …

Hypertension is among the most important risk factors for cardiovascular disease, chronic
kidney disease, and dementia. The artificial intelligence (AI) field is advancing quickly, and …

Blood pressure (BP) estimation is one of the most popular and long-standing topics in health-
care monitoring area. The utilization of machine learning (ML) and deep learning (DL) for BP …

Abstract Background and Motivations: Continuous blood pressure (BP) monitoring is of
critical importance to health state tracking and disease prevention. However, current …

Exploiting photoplethysmography signals (PPG) for non-invasive blood pressure BP)
measurement is interesting for various reasons. First, PPG can easily be measured using …

Background Machine learning (ML) is pervasive in all fields of research, from automating
tasks to complex decision‐making. However, applications in different specialities are …

Cuffless continuous blood pressure (BP) monitoring is of vital importance for personal health
management. Currently, there are extensive studies devoted to cuffless BP prediction based …

Increased intracranial pressure (ICP) causes disability and mortality in the neurointensive
care population. Current methods for monitoring ICP are invasive. We designed a deep …

Hypertension is a chronic disease that kills 7.6 million people worldwide annually. A
continuous blood pressure monitoring system is required to accurately diagnose …

Background Continuous and regular blood pressure (BP) monitoring has great significance
for the prevention and treatment of cardiovascular diseases. Arterial blood pressure (ABP) …