AIMC Topic: Pulse Wave Analysis

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Intelligent Bio-Impedance System for Personalized Continuous Blood Pressure Measurement.

Biosensors Feb 28, 2022
Continuous blood pressure (BP) measurement is crucial for long-term cardiovascular monitoring, especially for prompt hypertension detection. However, most of the continuous BP measurements rely on the pulse transit time (PTT) from multiple-channel ph...
Blood Pressure Determination Blood Pressure Pulse Wave Analysis Electric Impedance Humans Artificial Intelligence Photoplethysmography
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Blood Pressure Model Based on Hybrid Feature Convolution Neural Network in Promoting Rehabilitation of Patients with Hypertensive Intracerebral Hemorrhage.

Computational and mathematical methods in medicine Dec 7, 2021
OBJECTIVE: Accurate prediction of the rise of blood pressure is essential for the hypertensive intracerebral hemorrhage. This study uses the hybrid feature convolution neural network to establish the blood pressure model instead of the traditional me...
Recurrence Models, Cardiovascular Intracranial Hemorrhage, Hypertensive Adult Male Middle Aged Antihypertensive Agents Pulse Wave Analysis Computational Biology Algorithms Blood Pressure Female Aged Humans Neural Networks, Computer Machine Learning
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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...
DNA Methylation Pulse Wave Analysis Models, Biological Neuroticism Female Middle Aged Aged Genome-Wide Association Study Male Aged, 80 and over Young Adult Machine Learning Longitudinal Studies Humans Aging Algorithms Adult Phenotype
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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 ...
Humans Intensive Care Units Female Cohort Studies Hypertension Blood Pressure Determination Pulse Wave Analysis Male Middle Aged Deep Learning Hypotension Arterial Pressure
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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...
Male Ankle Brachial Index Humans Aged Hypertension Color Perception Female Middle Aged Adult Pulse Wave Analysis Deep Learning
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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...
Neural Networks, Computer Photoplethysmography Humans Blood Pressure Determination Blood Pressure Pulse Wave Analysis
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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...
Wearable Electronic Devices Pulse Wave Analysis Pressure Humans Materials Science Machine Learning
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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...
Reproducibility of Results Manometry Pulse Wave Analysis Wearable Electronic Devices Calibration Hypertension Humans Blood Pressure Monitoring, Ambulatory Blood Pressure Machine Learning
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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...
Pulse Wave Analysis Signal Processing, Computer-Assisted Linear Models Deep Learning Electrocardiography Blood Pressure Ballistocardiography Neural Networks, Computer Algorithms Humans
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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...
Diabetes Mellitus Male Regression Analysis Cardiovascular Diseases Prediabetic State Humans Middle Aged Pulse Wave Analysis Machine Learning Female
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