Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring

L Zhao, C Liang, Y Huang, G Zhou, Y **ao, N Ji… - npj Digital …, 2023 - nature.com
Cardiovascular diseases (CVDs) are a leading cause of death worldwide. For early
diagnosis, intervention and management of CVDs, it is highly desirable to frequently monitor …

Recent progress of optical imaging approaches for noncontact physiological signal measurement: A review

X Zhang, M Hu, Y Zhang, G Zhai… - Advanced Intelligent …, 2023 - Wiley Online Library
In recent years, optical imaging techniques have gained wide recognition for the
measurement of vital signals, such as heart rate, respiratory rate, oxygen saturation, and …

[HTML][HTML] Assessment of non-invasive blood pressure prediction from ppg and rppg signals using deep learning

F Schrumpf, P Frenzel, C Aust, G Osterhoff, M Fuchs - Sensors, 2021 - mdpi.com
Exploiting photoplethysmography signals (PPG) for non-invasive blood pressure (BP)
measurement is interesting for various reasons. First, PPG can easily be measured using …

Cuffless blood pressure estimation from PPG signals and its derivatives using deep learning models

C El-Hajj, PA Kyriacou - Biomedical Signal Processing and Control, 2021 - Elsevier
Blood pressure (BP) is a direct indicator for hypertension, therefore, continuous and non-
invasive BP monitoring is essential for reducing future health complications. Most non …

[HTML][HTML] Real-time cuffless continuous blood pressure estimation using deep learning model

YH Li, LN Harfiya, K Purwandari, YD Lin - Sensors, 2020 - mdpi.com
Blood pressure monitoring is one avenue to monitor people's health conditions. Early
detection of abnormal blood pressure can help patients to get early treatment and reduce …

KD-informer: A cuff-less continuous blood pressure waveform estimation approach based on single photoplethysmography

C Ma, P Zhang, F Song, Y Sun, G Fan… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Ambulatory blood pressure (BP) monitoring plays a critical role in the early prevention and
diagnosis of cardiovascular diseases. However, cuff-based inflatable devices cannot be …

Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation

K Sel, A Mohammadi, RI Pettigrew, R Jafari - npj Digital Medicine, 2023 - nature.com
The bold vision of AI-driven pervasive physiological monitoring, through the proliferation of
off-the-shelf wearables that began a decade ago, has created immense opportunities to …

Photoplethysmography signal processing and synthesis

E Mejia-Mejia, J Allen, K Budidha, C El-Hajj… - …, 2022 - Elsevier
This chapter presents the fundamental signal processing techniques used to analyze the
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …

Cuff-less blood pressure estimation from photoplethysmography via visibility graph and transfer learning

W Wang, P Mohseni, KL Kilgore… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
This paper presents a new solution that enables the use of transfer learning for cuff-less
blood pressure (BP) monitoring via short duration of photoplethysmogram (PPG). The …

MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks

B Huang, W Chen, CL Lin, CF Juang, J Wang - … Signal Processing and …, 2022 - Elsevier
High blood pressure (BP) is a major source of death worldwide as it slows down the flow of
blood and oxygen, and leads to various chronic diseases such as chest pain (angina), heart …