[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 …

The current state of optical sensors in medical wearables

E Vavrinsky, NE Esfahani, M Hausner, A Kuzma… - Biosensors, 2022 - mdpi.com
Optical sensors play an increasingly important role in the development of medical diagnostic
devices. They can be very widely used to measure the physiology of the human body …

Monitoring of the central blood pressure waveform via a conformal ultrasonic device

C Wang, X Li, H Hu, L Zhang, Z Huang, M Lin… - Nature biomedical …, 2018 - nature.com
Continuous monitoring of the central blood pressure waveform from deeply embedded
vessels such as the carotid artery and jugular vein has clinical value for the prediction of all …

Blood pressure estimation from photoplethysmogram using a spectro-temporal deep neural network

G Slapničar, N Mlakar, M Luštrek - Sensors, 2019 - mdpi.com
Blood pressure (BP) is a direct indicator of hypertension, a dangerous and potentially deadly
condition. Regular monitoring of BP is thus important, but many people have aversion …

[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 …

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 …

Flexible graphene photodetectors for wearable fitness monitoring

EO Polat, G Mercier, I Nikitskiy, E Puma, T Galan… - Science …, 2019 - science.org
Wearable health and wellness trackers based on optical detection are promising candidates
for public health uses due to their noninvasive tracking of vital health signs. However, so far …

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 …

Cuffless blood pressure estimation from electrocardiogram and photoplethysmogram using waveform based ANN-LSTM network

MS Tanveer, MK Hasan - Biomedical Signal Processing and Control, 2019 - Elsevier
Although photoplethysmogram (PPG) and electrocardiogram (ECG) signals can be used to
estimate blood pressure (BP) by extracting various features, the changes in morphological …