[HTML][HTML] A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure
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 …
critical factor for increasing the risk of serious diseases, including cardiovascular diseases …
[HTML][HTML] A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data
The use of machine learning techniques in medicine has increased in recent years due to a
rise in publicly available datasets. These techniques have been applied in high blood …
rise in publicly available datasets. These techniques have been applied in high blood …
Deep learning models for cuffless blood pressure monitoring from PPG signals using attention mechanism
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 …
factor for cardiovascular disease. Blood pressure is one of the four vital signs that provides …
Real-time cuffless continuous blood pressure estimation using deep learning model
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 …
detection of abnormal blood pressure can help patients to get early treatment and reduce …
A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors
Over the past two decades, machine learning systems have been proliferating in the
healthcare industry domains, such as digital health, fitness tracking, patient monitoring, and …
healthcare industry domains, such as digital health, fitness tracking, patient monitoring, and …
Cuffless blood pressure estimation from PPG signals and its derivatives using deep learning models
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 …
invasive BP monitoring is essential for reducing future health complications. Most non …
Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet
The photoplethysmogram (PPG) signal is widely measured by clinical and consumer
devices, and it is emerging as a potential tool for assessing vascular age. The shape and …
devices, and it is emerging as a potential tool for assessing vascular age. The shape and …
Polymeric foams for flexible and highly sensitive low-pressure capacitive sensors
Abstract Flexible low-pressure sensors (< 10 kPa) are required in areas as diverse as blood-
pressure monitoring, human–computer interactions, robotics, and object detection. For …
pressure monitoring, human–computer interactions, robotics, and object detection. For …
Continuous blood pressure estimation using exclusively photopletysmography by LSTM-based signal-to-signal translation
LN Harfiya, CC Chang, YH Li - Sensors, 2021 - mdpi.com
Monitoring continuous BP signal is an important issue, because blood pressure (BP) varies
over days, minutes, or even seconds for short-term cases. Most of photoplethysmography …
over days, minutes, or even seconds for short-term cases. Most of photoplethysmography …
Photoplethysmography signal processing and synthesis
This chapter presents the fundamental signal processing techniques used to analyze the
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …