AIMC Topic: Pulse Wave Analysis

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Predicting physiological aging rates from a range of quantitative traits using machine learning.

Aging Oct 29, 2021
It is widely thought that individuals age at different rates. A method that measures "physiological age" or physiological aging rate independent of chronological age could therefore help elucidate mechanisms of aging and inform an individual's risk o...
Male Aging Middle Aged Aged, 80 and over Young Adult Adult Pulse Wave Analysis Models, Biological Neuroticism Genome-Wide Association Study Longitudinal Studies DNA Methylation Humans Machine Learning Algorithms Phenotype Female Aged
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Imputation of the continuous arterial line blood pressure waveform from non-invasive measurements using deep learning.

Scientific reports Aug 3, 2021
In two-thirds of intensive care unit (ICU) patients and 90% of surgical patients, arterial blood pressure (ABP) is monitored non-invasively but intermittently using a blood pressure cuff. Since even a few minutes of hypotension increases the risk of ...
Male Middle Aged Deep Learning Humans Intensive Care Units Female Pulse Wave Analysis Hypotension Arterial Pressure Cohort Studies Hypertension Blood Pressure Determination
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Prediction of age and brachial-ankle pulse-wave velocity using ultra-wide-field pseudo-color images by deep learning.

Scientific reports Nov 9, 2020
This study examined whether age and brachial-ankle pulse-wave velocity (baPWV) can be predicted with ultra-wide-field pseudo-color (UWPC) images using deep learning (DL). We examined 170 UWPC images of both eyes of 85 participants (40 men and 45 wome...
Pulse Wave Analysis Ankle Brachial Index Color Perception Middle Aged Deep Learning Hypertension Humans Female Aged Adult Male
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Generalized Deep Neural Network Model for Cuffless Blood Pressure Estimation with Photoplethysmogram Signal Only.

Sensors (Basel, Switzerland) Oct 4, 2020
Due to the growing public awareness of cardiovascular disease (CVD), blood pressure (BP) estimation models have been developed based on physiological parameters extracted from both electrocardiograms (ECGs) and photoplethysmograms (PPGs). Still, in o...
Pulse Wave Analysis Photoplethysmography Blood Pressure Determination Blood Pressure Humans Neural Networks, Computer
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Near-hysteresis-free soft tactile electronic skins for wearables and reliable machine learning.

Proceedings of the National Academy of Sciences of the United States of America Sep 28, 2020
Electronic skins are essential for real-time health monitoring and tactile perception in robots. Although the use of soft elastomers and microstructures have improved the sensitivity and pressure-sensing range of tactile sensors, the intrinsic viscoe...
Materials Science Humans Machine Learning Wearable Electronic Devices Pulse Wave Analysis Pressure
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Cuffless Blood Pressure Monitoring: Promises and Challenges.

Clinical journal of the American Society of Nephrology : CJASN Jul 17, 2020
Current BP measurements are on the basis of traditional BP cuff approaches. Ambulatory BP monitoring, at 15- to 30-minute intervals usually over 24 hours, provides sufficiently continuous readings that are superior to the office-based snapshot, but t...
Humans Machine Learning Reproducibility of Results Manometry Pulse Wave Analysis Wearable Electronic Devices Calibration Hypertension Blood Pressure Monitoring, Ambulatory Blood Pressure
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End-to-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism.

Sensors (Basel, Switzerland) Apr 20, 2020
Blood pressure (BP) is a vital sign that provides fundamental health information regarding patients. Continuous BP monitoring is important for patients with hypertension. Various studies have proposed cuff-less BP monitoring methods using pulse trans...
Signal Processing, Computer-Assisted Linear Models Ballistocardiography Humans Electrocardiography Blood Pressure Pulse Wave Analysis Neural Networks, Computer Algorithms Deep Learning
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Pulse Wave Velocity and Machine Learning to Predict Cardiovascular Outcomes in Prediabetic and Diabetic Populations.

Journal of medical systems Dec 9, 2019
Few studies have addressed the predictive value of arterial stiffness determined by pulse wave velocity (PWV) in a high-risk population with no prevalent cardiovascular disease and with obesity, hypertension, hyperglycemia, and preserved kidney funct...
Female Male Cardiovascular Diseases Humans Middle Aged Machine Learning Pulse Wave Analysis Diabetes Mellitus Prediabetic State Regression Analysis
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Estimation of wave reflection in aorta from radial pulse waveform by artificial neural network: a numerical study.

Computer methods and programs in biomedicine Sep 3, 2019
BACKGROUND AND OBJECTIVE: Wave reflection in aorta has been shown to have incremental value for predicting cardiovascular events. However, its estimation by wave separation analysis (WSA) is complex.
Aorta Humans Neural Networks, Computer Blood Pressure Determination Pulse Wave Analysis
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SVR ensemble-based continuous blood pressure prediction using multi-channel photoplethysmogram.

Computers in biology and medicine Aug 19, 2019
In this paper, a continuous non-occluding blood pressure (BP) prediction method is proposed using multiple photoplethysmogram (PPG) signals. In the new method, BP is predicted by a committee machine or ensemble learning framework comprising multiple ...
Humans Support Vector Machine Photoplethysmography Predictive Value of Tests Blood Pressure Determination Blood Pressure Pulse Wave Analysis Signal Processing, Computer-Assisted
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