A new deep learning framework based on blood pressure range constraint for continuous cuffless BP estimation

Y Chen, D Zhang, HR Karimi, C Deng, W Yin - Neural Networks, 2022 - Elsevier
Blood pressure (BP) is known as an indicator of human health status, and regular
measurement is helpful for early detection of cardiovascular diseases. Traditional …

End-to-end deep learning architecture for continuous blood pressure estimation using attention mechanism

H Eom, D Lee, S Han, YS Hariyani, Y Lim, I Sohn… - Sensors, 2020 - mdpi.com
Blood pressure (BP) is a vital sign that provides fundamental health information regarding
patients. Continuous BP monitoring is important for patients with hypertension. Various …

BP-Net: Efficient deep learning for continuous arterial blood pressure estimation using photoplethysmogram

KR Vardhan, S Vedanth, G Poojah… - 2021 20th IEEE …, 2021 - ieeexplore.ieee.org
Blood pressure (BP) is one of the most influential bio-markers for cardiovascular diseases
and stroke; therefore, it needs to be regularly monitored to diagnose and prevent any advent …

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 …

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 …

Cuff-less blood pressure prediction based on photoplethysmography and modified ResNet

C Qin, Y Li, C Liu, X Ma - Bioengineering, 2023 - mdpi.com
Cardiovascular disease (CVD) has become a common health problem of mankind, and the
prevalence and mortality of CVD are rising on a year-to-year basis. Blood pressure (BP) is …

Generalized deep neural network model for cuffless blood pressure estimation with photoplethysmogram signal only

YC Hsu, YH Li, CC Chang, LN Harfiya - Sensors, 2020 - mdpi.com
Due to the growing public awareness of cardiovascular disease (CVD), blood pressure (BP)
estimation models have been developed based on physiological parameters extracted from …

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 …

Beat-to-beat continuous blood pressure estimation using bidirectional long short-term memory network

D Lee, H Kwon, D Son, H Eom, C Park, Y Lim, C Seo… - Sensors, 2020 - mdpi.com
Continuous blood pressure (BP) monitoring is important for patients with hypertension.
However, BP measurement with a cuff may be cumbersome for the patient. To overcome this …

Cuffless blood pressure estimation based on composite neural network and graphics information

Y Qiu, D Liu, G Yang, D Qi, Y Lu, Q He, X Qian… - … Signal Processing and …, 2021 - Elsevier
Blood pressure (BP) assessment and dynamic detection are of great significance for timely
detection of the morbidity of hypertension, which is a major risk factor for most …