Flexible wearable sensors for cardiovascular health monitoring

S Chen, J Qi, S Fan, Z Qiao, JC Yeo… - Advanced Healthcare …, 2021 - Wiley Online Library
Cardiovascular diseases account for the highest mortality globally, but recent advances in
wearable technologies may potentially change how these illnesses are diagnosed and …

The use of photoplethysmography for assessing hypertension

M Elgendi, R Fletcher, Y Liang, N Howard… - NPJ digital …, 2019 - nature.com
The measurement of blood pressure (BP) is critical to the treatment and management of
many medical conditions. High blood pressure is associated with many chronic disease …

Recent progress of flexible image sensors for biomedical applications

T Yokota, K Fukuda, T Someya - Advanced Materials, 2021 - Wiley Online Library
Flexible image sensors have attracted increasing attention as new imaging devices owing to
their lightness, softness, and bendability. Since light can measure inside information from …

[HTML][HTML] A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure

C El-Hajj, PA Kyriacou - Biomedical Signal Processing and Control, 2020 - Elsevier
Hypertension or high blood pressure is a leading cause of death throughout the world and a
critical factor for increasing the risk of serious diseases, including cardiovascular diseases …

Cuffless blood pressure estimation algorithms for continuous health-care monitoring

M Kachuee, MM Kiani… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Goal: Continuous blood pressure (BP) monitoring can provide invaluable information about
individuals' health conditions. However, BP is conventionally measured using inconvenient …

[HTML][HTML] Estimating blood pressure from the photoplethysmogram signal and demographic features using machine learning techniques

MH Chowdhury, MNI Shuzan, MEH Chowdhury… - Sensors, 2020 - mdpi.com
Hypertension is a potentially unsafe health ailment, which can be indicated directly from the
blood pressure (BP). Hypertension always leads to other health complications. Continuous …

Blood pressure estimation from appropriate and inappropriate PPG signals using A whole-based method

SS Mousavi, M Firouzmand, M Charmi… - … Signal Processing and …, 2019 - Elsevier
Background and objective Blood pressure (BP) is one of the four vital signals that provides
valuable medical information about the cardiovascular activity. In recent years, extensive …

[HTML][HTML] A conformable imager for biometric authentication and vital sign measurement

T Yokota, T Nakamura, H Kato, M Mochizuki… - Nature …, 2020 - nature.com
Flexible imagers can be placed in direct contact with a person's skin, allowing vital signs to
be monitored continuously. However, developing flexible imagers that offer both high …

ThunderSVM: A fast SVM library on GPUs and CPUs

Z Wen, J Shi, Q Li, B He, J Chen - Journal of Machine Learning Research, 2018 - jmlr.org
Support Vector Machines (SVMs) are classic supervised learning models for classification,
regression and distribution estimation. A survey conducted by Kaggle in 2017 shows that …

Deep learning models for cuffless blood pressure monitoring from PPG signals using attention mechanism

C El-Hajj, PA Kyriacou - Biomedical Signal Processing and Control, 2021 - Elsevier
Hypertension or high blood pressure is a major health problem worldwide and primary risk
factor for cardiovascular disease. Blood pressure is one of the four vital signs that provides …