A review of noninvasive methodologies to estimate the blood pressure waveform
Accurate estimation of blood pressure (BP) waveforms is critical for ensuring the safety and
proper care of patients in intensive care units (ICUs) and for intraoperative hemodynamic …
proper care of patients in intensive care units (ICUs) and for intraoperative hemodynamic …
A review of road surface anomaly detection and classification systems based on vibration-based techniques
Road surfaces suffer from sources of deterioration, such as weather conditions, constant
usage, loads, and the age of the infrastructure. These sources of decay generate anomalies …
usage, loads, and the age of the infrastructure. These sources of decay generate anomalies …
Clinical validation of a wearable ultrasound sensor of blood pressure
Options for the continuous and non-invasive monitoring of blood pressure are limited. Cuff-
based sphygmomanometers are widely available, yet provide only discrete measurements …
based sphygmomanometers are widely available, yet provide only discrete measurements …
Machine learning approaches for predicting hypertension and its associated factors using population-level data from three South Asian countries
Background Hypertension is the most common modifiable risk factor for cardiovascular
diseases in South Asia. Machine learning (ML) models have been shown to outperform …
diseases in South Asia. Machine learning (ML) models have been shown to outperform …
[HTML][HTML] A machine learning approach for hypertension detection based on photoplethysmography and clinical data
High blood pressure early screening remains a challenge due to the lack of symptoms
associated with it. Accordingly, noninvasive methods based on photoplethysmography …
associated with it. Accordingly, noninvasive methods based on photoplethysmography …
[HTML][HTML] Inteligencia artificial al servicio de la salud del futuro
Desde sus orígenes, la medicina ha estado más ligada a la cura de enfermedades que a su
prevención. Con los últimos avances en ciencia, tecnología y procesamiento masivo de …
prevención. Con los últimos avances en ciencia, tecnología y procesamiento masivo de …
Hyp-Net: Automated detection of hypertension using deep convolutional neural network and Gabor transform techniques with ballistocardiogram signals
Hypertension (HPT) is a physiological abnormality characterized by high blood pressure,
headache, wooziness, and fainting that may lead to various heart, kidney, or brain diseases …
headache, wooziness, and fainting that may lead to various heart, kidney, or brain diseases …
Predicting diabetes with multivariate analysis an innovative KNN-based classifier approach
Diabetes seems to be a severe protracted disease or combination of biochemical disorders.
A person's blood glucose (BG) levels remain elevated for an extended period because …
A person's blood glucose (BG) levels remain elevated for an extended period because …
Hypertension classification using machine learning part II
High blood pressure (BP) or hypertension is a dangerous and deadly condition which can
lead to serious disorders and high risk of heart attacks, strokes or death. Therefore, studying …
lead to serious disorders and high risk of heart attacks, strokes or death. Therefore, studying …
An efficient hybrid LSTM-ANN joint classification-regression model for PPG based blood pressure monitoring
This paper investigates the importance of classification in optimizing the estimation accuracy
of blood pressure (BP) using photoplethysmography (PPG) signal features, with the aim of …
of blood pressure (BP) using photoplethysmography (PPG) signal features, with the aim of …