Photoplethysmogram analysis and applications: an integrative review
Beyond its use in a clinical environment, photoplethysmogram (PPG) is increasingly used for
measuring the physiological state of an individual in daily life. This review aims to examine …
measuring the physiological state of an individual in daily life. This review aims to examine …
Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring
Cardiovascular diseases (CVDs) are a leading cause of death worldwide. For early
diagnosis, intervention and management of CVDs, it is highly desirable to frequently monitor …
diagnosis, intervention and management of CVDs, it is highly desirable to frequently monitor …
Recent advances in non-invasive blood pressure monitoring and prediction using a machine learning approach
Blood pressure (BP) monitoring can be performed either invasively via arterial
catheterization or non-invasively through a cuff sphygmomanometer. However, for …
catheterization or non-invasively through a cuff sphygmomanometer. However, for …
PPG-based blood pressure estimation can benefit from scalable multi-scale fusion neural networks and multi-task learning
The continuous measurement of blood pressure (BP) plays an important role in preventing
cardiovascular diseases. However, common cuff-based devices with cumbersome …
cardiovascular diseases. However, common cuff-based devices with cumbersome …
Higher order derivative-based integrated model for cuff-less blood pressure estimation and stratification using PPG signals
Precise blood pressure (BP) estimation is vital for diagnosing arterial hypertension and other
cardiovascular ailments. The photoplethysmogram (PPG)-based cuff-less BP measurement …
cardiovascular ailments. The photoplethysmogram (PPG)-based cuff-less BP measurement …
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 …
Intelligent wearable systems: Opportunities and challenges in health and sports
Wearable devices, or wearables, designed to be attached to the human body, can gather
personalized real-time data and continuously monitor an individual's health status and …
personalized real-time data and continuously monitor an individual's health status and …
Advances in cuffless continuous blood pressure monitoring technology based on PPG signals
Objective. To review the progress of research on photoplethysmography‐(PPG‐) based
cuffless continuous blood pressure monitoring technologies and prospect the challenges …
cuffless continuous blood pressure monitoring technologies and prospect the challenges …
Continuous blood pressure monitoring using photoplethysmography and electrocardiogram signals by random forest feature selection and GWO-GBRT prediction …
S Liu, Z Huang, J Zhu, B Liu, P Zhou - Biomedical Signal Processing and …, 2024 - Elsevier
Blood pressure (BP) is an important indicator of a person's cardiovascular status, but
accurate, continuous BP monitoring remains a challenge. To improve the monitoring …
accurate, continuous BP monitoring remains a challenge. To improve the monitoring …
IMSF-Net: An improved multi-scale information fusion network for PPG-based blood pressure estimation
D Wang, Y Ye, B Zhang, J Sun, C Zhang - Biomedical Signal Processing …, 2024 - Elsevier
Recently, deep learning (DL) architectures have been widely used for PPG-based blood
pressure (BP) monitoring due to their powerful feature extraction ability. However, the DL …
pressure (BP) monitoring due to their powerful feature extraction ability. However, the DL …