A Review of Deep Learning Methods for Photoplethysmography Data

G Nie, J Zhu, G Tang, D Zhang, S Geng, Q Zhao… - arXiv preprint arXiv …, 2024 - arxiv.org
Photoplethysmography (PPG) is a highly promising device due to its advantages in
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …

Accurate and 30-plus days reliable cuffless blood pressure measurements with 9-minutes personal photoplethysmograph data and mixed deduction learning

BK Mekonne, WR Lu, TH Hsieh, J Chu, FL Yang - Scientific Reports, 2024 - nature.com
Cuffless blood pressure (BP) measurements have long been anticipated, and the PPG (
Photoplethysmography)-only method is the most promising one since already embedded in …

OPTIMIZATION OF DEEP NEURAL NETWORKS FOR PPG-BASED BLOOD PRESSURE ESTIMATION ON EDGE DEVICES

F Carlucci - 2024 - webthesis.biblio.polito.it
Continuous and non invasive blood pressure monitoring is crucial for hypertension
diagnosis and cardiovascular diseases prevention. Photoplethysmography (PPG) sensors …

Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management

ED Muse, EJ Topol - Cell Metabolism, 2024 - cell.com
The rise of artificial intelligence (AI) has revolutionized various scientific fields, particularly in
medicine, where it has enabled the modeling of complex relationships from massive …