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 …
Artificial intelligence in hypertension management: an ace up your sleeve
Arterial hypertension (AH) is a progressive issue that grows in importance with the increased
average age of the world population. The potential role of artificial intelligence (AI) in its …
average age of the world population. The potential role of artificial intelligence (AI) in its …
Photoplethysmography-based blood pressure estimation combining filter-wrapper collaborated feature selection with LASSO-LSTM model
D Wang, X Yang, X Liu, L Ma, L Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Objective: Currently, BP measurement devices are mainly cuff-based which are not portable
or convenient for users. To simplify the measurement of BP, this article proposed a new …
or convenient for users. To simplify the measurement of BP, this article proposed a new …
Continuous PPG-based blood pressure monitoring using multi-linear regression
In this work, we present a photoplethy smography-based blood pressure monitoring
algorithm (PPG-BPM) that solely requires a photoplethysmography (PPG) signal. The …
algorithm (PPG-BPM) that solely requires a photoplethysmography (PPG) signal. The …
The machine learnings leading the cuffless PPG blood pressure sensors into the next stage
PCP Chao, CC Wu, DH Nguyen… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Recent works on the machine learnings designed for cuffless blood pressure (BP)
estimation based on measured photoplethysmogram (PPG) waveforms are reviewed by this …
estimation based on measured photoplethysmogram (PPG) waveforms are reviewed by this …
A novel CS-NET architecture based on the unification of CNN, SVM and super-resolution spectrogram to monitor and classify blood pressure using …
Context Continuous blood pressure (BP) monitoring plays an important role while treating
various cardiovascular diseases and hypertension. A high correlation between arterial blood …
various cardiovascular diseases and hypertension. A high correlation between arterial blood …
Wavelet analysis of laser Doppler microcirculatory signals: Current applications and limitations
L Kralj, H Lenasi - Frontiers in Physiology, 2023 - frontiersin.org
Laser Doppler flowmetry (LDF) has long been considered a gold standard for non-invasive
assessment of skin microvascular function. Due to the laser Doppler (LD) microcirculatory …
assessment of skin microvascular function. Due to the laser Doppler (LD) microcirculatory …
Photoplethysmography temporal marker-based machine learning classifier for anesthesia drug detection
Anesthesia drug overdose hazards and lack of gold standards in anesthesia monitoring lead
to an urgent need for accurate anesthesia drug detection. To investigate the PPG waveform …
to an urgent need for accurate anesthesia drug detection. To investigate the PPG waveform …
Deep convolutional neural network-based signal quality assessment for photoplethysmogram
H Shin - Computers in Biology and Medicine, 2022 - Elsevier
Quality assessment of bio-signals is important to prevent clinical misdiagnosis. With the
introduction of mobile and wearable health care, it is becoming increasingly important to …
introduction of mobile and wearable health care, it is becoming increasingly important to …
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 …