[HTML][HTML] A new machine learning method for predicting systolic and diastolic blood pressure using clinical characteristics

A Shrivastava, M Chakkaravarthy, MA Shah - Healthcare Analytics, 2023 - Elsevier
Hypertension describes elevated blood pressure, which significantly impacts cardiovascular
diseases. Typically, a sphygmomanometer, a cuff-like device, is used to measure a patient's …

[HTML][HTML] A PPG-based calibration-free cuffless blood pressure estimation method using cardiovascular dynamics

H Samimi, HR Dajani - Sensors, 2023 - mdpi.com
Traditional cuff-based sphygmomanometers for measuring blood pressure can be
uncomfortable and particularly unsuitable to use during sleep. A proposed alternative …

[HTML][HTML] Non-Invasive Blood Pressure Sensing via Machine Learning

F Attivissimo, VI D'Alessandro, L De Palma… - Sensors, 2023 - mdpi.com
In this paper, a machine learning (ML) approach to estimate blood pressure (BP) using
photoplethysmography (PPG) is presented. The final aim of this paper was to develop ML …

[HTML][HTML] Continuous non-invasive blood pressure measurement using 60 GHz-radar—a feasibility study

N Vysotskaya, C Will, L Servadei, N Maul, C Mandl… - Sensors, 2023 - mdpi.com
Blood pressure monitoring is of paramount importance in the assessment of a human's
cardiovascular health. The state-of-the-art method remains the usage of an upper-arm cuff …

[HTML][HTML] Photoplethysmography Signal Wavelet Enhancement and Novel Features Selection for Non-Invasive Cuff-Less Blood Pressure Monitoring

F Attivissimo, L De Palma, A Di Nisio, M Scarpetta… - Sensors, 2023 - mdpi.com
In this paper, new features relevant to blood pressure (BP) estimation using
photoplethysmography (PPG) are presented. A total of 195 features, including the proposed …

A multi-site, multi-wavelength ppg platform for continuous non-invasive health monitoring in hospital settings

S Karolcik, DK Ming, S Yacoub… - … Circuits and Systems, 2023 - ieeexplore.ieee.org
This article presents a novel PPG acquisition platform capable of synchronous multi-
wavelength signal acquisition from two measurement locations with up to 4 independent …

[HTML][HTML] Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning

C Aguet, J Jorge, J Van Zaen, M Proença, G Bonnier… - Plos one, 2023 - journals.plos.org
Blood pressure (BP) is a crucial biomarker giving valuable information regarding
cardiovascular diseases but requires accurate continuous monitoring to maximize its value …

[HTML][HTML] Comparison of seven shallow and deep regressors in continuous blood pressure and heart rate estimation using single-channel photoplethysmograms under …

S Kanoga, T Hoshino, S Kamei, T Kobayashi… - … Signal Processing and …, 2023 - Elsevier
Our objective is to compare seven blood pressure (BP) and heart rate (HR) estimation
models based on shallow and deep regressors using single-channel photoplethysmograms …

[HTML][HTML] A Machine Learning Approach to the Non-Invasive Estimation of Continuous Blood Pressure Using Photoplethysmography

B Tarifi, A Fainman, A Pantanowitz, DM Rubin - Applied Sciences, 2023 - mdpi.com
Blood pressure is an important vital sign that sometimes requires continuous measurement.
The current methods include cuff measurements (manual auscultation and oscillometric …

[HTML][HTML] Clustered photoplethysmogram pulse wave shapes and their associations with clinical data

S Zanelli, K Eveilleau, PH Charlton, M Ammi… - Frontiers in …, 2023 - frontiersin.org
Photopletysmography (PPG) is a non-invasive and well known technology that enables the
recording of the digital volume pulse (DVP). Although PPG is largely employed in research …