The use of photoplethysmography for assessing hypertension
The measurement of blood pressure (BP) is critical to the treatment and management of
many medical conditions. High blood pressure is associated with many chronic disease …
many medical conditions. High blood pressure is associated with many chronic disease …
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 …
[HTML][HTML] Estimating blood pressure from the photoplethysmogram signal and demographic features using machine learning techniques
Hypertension is a potentially unsafe health ailment, which can be indicated directly from the
blood pressure (BP). Hypertension always leads to other health complications. Continuous …
blood pressure (BP). Hypertension always leads to other health complications. Continuous …
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 …
Assessing the accuracy of popular commercial technologies that measure resting heart rate and heart rate variability
JD Stone, HK Ulman, K Tran, AG Thompson… - Frontiers in Sports and …, 2021 - frontiersin.org
Commercial off-the shelf (COTS) wearable devices continue development at unprecedented
rates. An unfortunate consequence of their rapid commercialization is the lack of …
rates. An unfortunate consequence of their rapid commercialization is the lack of …
Deep learning-based photoplethysmography classification for peripheral arterial disease detection: A proof-of-concept study
Objective. A proof-of-concept study to assess the potential of a deep learning (DL) based
photoplethysmography PPG ('DLPPG') classification method to detect peripheral arterial …
photoplethysmography PPG ('DLPPG') classification method to detect peripheral arterial …
Filtering-induced time shifts in photoplethysmography pulse features measured at different body sites: The importance of filter definition and standardization
Objective. The waveform of a photoplethysmography (PPG) signal depends on the
measurement site and individual physiological conditions. Filtering can distort the …
measurement site and individual physiological conditions. Filtering can distort the …
Evaluation of objective distortion measures for automatic quality assessment of processed PPG signals for real-time health monitoring devices
Real-time photoplethysmogram (PPG) denoising and data compression has become most
essential requirements for accurately measuring vital parameters and efficient data …
essential requirements for accurately measuring vital parameters and efficient data …
Multimodal photoplethysmography-based approaches for improved detection of hypertension
K Welykholowa, M Hosanee, G Chan… - Journal of Clinical …, 2020 - mdpi.com
Elevated blood pressure (BP) is a major cause of death, yet hypertension commonly goes
undetected. Owing to its nature, it is typically asymptomatic until later in its progression when …
undetected. Owing to its nature, it is typically asymptomatic until later in its progression when …
Improving systolic blood pressure prediction from remote photoplethysmography using a stacked ensemble regressor
LD van Putten, KE Bamford - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Hypertension is a serious health risk, and early diagnosis is key to start treatment and avoid
fatal complications. We present a stacked ensemble model to predict systolic blood pressure …
fatal complications. We present a stacked ensemble model to predict systolic blood pressure …