Update on Estimation of Blood Pressure and Pulse Wave Velocity Using Signals Obtained from Wearable Devices

Continuous monitoring of personal physiological parameters, such as blood pressure (BP) and pulse wave velocity, through wearable devices has emerged as a potential alternative for healthcare. This review discusses the variety of wearable devices and signal properties of different measurement sites. Recent advancements in estimation techniques applied to wearable devices for cardiovascular health monitoring are revisited. Concerns including data leak and validation criterion are highlighted. Photoplethysmography morphology and BP circadian variability are also addressed. Accordingly, the approaches are categorised and analysed based on the study protocols. The potential opportunities due to the development of deep learning algorithms are examined for BP and pulse wave velocity estimations. As the evolution of wearable devices progresses, multidisciplinary collaboration becomes crucial and necessary for realising personalised smart medicine.

Authors

Institutions

Publication Details

Journal
Journal of Asian Pacific Society of Cardiology
Published
2025-04-16
DOI
https://doi.org/10.15420/japsc.2024.24
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Update on Estimation of Blood Pressure and Pulse Wave Velocity Using Signals Obtained from Wearable Devices

Che-An Chen, Pei‐Yun Tsai, Tzung‐Dau Wang, Chih-I Ho et al.
Journal of Asian Pacific Society of Cardiology
Non-Invasive Vital Sign Monitoring
article

Update on Estimation of Blood Pressure and Pulse Wave Velocity Using Signals Obtained from Wearable Devices

Che-An Chen, Pei‐Yun Tsai, Tzung‐Dau Wang, Chih-I Ho, Chih-Chia Chang
article en

Abstract

Continuous monitoring of personal physiological parameters, such as blood pressure (BP) and pulse wave velocity, through wearable devices has emerged as a potential alternative for healthcare. This review discusses the variety of wearable devices and signal properties of different measurement sites. Recent advancements in estimation techniques applied to wearable devices for cardiovascular health monitoring are revisited. Concerns including data leak and validation criterion are highlighted. Photoplethysmography morphology and BP circadian variability are also addressed. Accordingly, the approaches are categorised and analysed based on the study protocols. The potential opportunities due to the development of deep learning algorithms are examined for BP and pulse wave velocity estimations. As the evolution of wearable devices progresses, multidisciplinary collaboration becomes crucial and necessary for realising personalised smart medicine.

Journal of Asian Pacific Society of CardiologyVol. 4
National Taiwan University (TW), National Central University (TW), National Taiwan University Hospital (TW)
MediaTek
Openalex Percentile: Top 93%
Non-Invasive Vital Sign Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.