AIMC Topic: Diastole

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Heart Sound Segmentation-An Event Detection Approach Using Deep Recurrent Neural Networks.

IEEE transactions on bio-medical engineering Jun 1, 2018
OBJECTIVE: In this paper, we accurately detect the state-sequence first heart sound (S1)-systole-second heart sound (S2)-diastole, i.e., the positions of S1 and S2, in heart sound recordings. We propose an event detection approach without explicitly ...
Diastole Heart Sounds Phonocardiography Humans Algorithms Neural Networks, Computer Signal Processing, Computer-Assisted Sound Spectrography Systole
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Phenotypic Clustering of Left Ventricular Diastolic Function Parameters: Patterns and Prognostic Relevance.

JACC. Cardiovascular imaging Apr 18, 2018
OBJECTIVES: This study sought to explore the natural clustering of echocardiographic variables used for assessing left ventricular (LV) diastolic dysfunction (DD) in order to isolate high-risk phenotypic patterns and assess their prognostic significa...
Male Ventricular Function, Left Middle Aged Risk Assessment Risk Factors Hospitalization Aged Aged, 80 and over Heart Ventricles Progression-Free Survival Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted Pattern Recognition, Automated Disease Progression Cluster Analysis Predictive Value of Tests Cause of Death Phenotype Retrospective Studies Female Humans Machine Learning Diastole Echocardiography, Doppler, Color Echocardiography, Doppler, Pulsed
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A Novel Neural Network Model for Blood Pressure Estimation Using Photoplethesmography without Electrocardiogram.

Journal of healthcare engineering Mar 7, 2018
The prevention, evaluation, and treatment of hypertension have attracted increasing attention in recent years. As photoplethysmography (PPG) technology has been widely applied to wearable sensors, the noninvasive estimation of blood pressure (BP) usi...
Critical Care Pattern Recognition, Automated Systole Diastole Electrocardiography Humans Blood Pressure Determination Neural Networks, Computer Blood Pressure Databases, Factual Pulse Wave Analysis Female Male Aged, 80 and over Middle Aged Reproducibility of Results Hypertension Young Adult Aged Photoplethysmography Adult
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Convolutional Neural Network for the Detection of End-Diastole and End-Systole Frames in Free-Breathing Cardiac Magnetic Resonance Imaging.

Computational and mathematical methods in medicine Jul 26, 2017
Free-breathing cardiac magnetic resonance (CMR) imaging has short examination time with high reproducibility. Detection of the end-diastole and the end-systole frames of the free-breathing cardiac magnetic resonance, supplemented by visual identifica...
Reproducibility of Results Humans Magnetic Resonance Imaging Neural Networks, Computer Heart Systole Diastole
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Analysis of short-term heart rate and diastolic period variability using a refined fuzzy entropy method.

Biomedical engineering online Jul 1, 2015
BACKGROUND: Heart rate variability (HRV) has been widely used in the non-invasive evaluation of cardiovascular function. Recent studies have also attached great importance to the cardiac diastolic period variability (DPV) examination. Short-term vari...
Humans Models, Cardiovascular Algorithms Coronary Stenosis Periodicity Male Stochastic Processes Middle Aged Normal Distribution Entropy Photoplethysmography Heart Rate Computer Simulation Diastole Nonlinear Dynamics Electrocardiography Female Signal-To-Noise Ratio Fuzzy Logic Aged Statistics, Nonparametric Adult
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Estimation of left ventricular parameters based on deep learning method.

Mathematical biosciences and engineering : MBE Apr 27, 2022
Estimating material properties of personalized human left ventricular (LV) modelling is a central problem in biomechanical studies. In this work we use deep learning (DL) method to evaluating the passive myocardial mechanical properties inversely. In...
Computer Simulation Myocardium Humans Deep Learning Heart Ventricles Diastole
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Diastolic Function Evaluation: What Can We Learn From Machine Learning?

JACC. Cardiovascular imaging Jan 1, 2020
Machine Learning Ventricular Function, Left Prognosis Cluster Analysis Diastole
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Prediction of Abnormal Myocardial Relaxation From Signal Processed Surface ECG.

Journal of the American College of Cardiology Apr 17, 2018
BACKGROUND: Myocardial relaxation is impaired in almost all cases with left ventricular diastolic dysfunction (LVDD) and is a strong predictor of cardiovascular and all-cause mortality.
Cross-Sectional Studies Male Diastole Middle Aged Machine Learning Electrocardiography Prospective Studies Humans Heart Female Ventricular Dysfunction, Left Aged
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An unsupervised learning for robust cardiac feature derivation from PPG signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
We propose here derivation algorithms for physiological parameters like beat start point, systolic peak, pulse duration, peak-to-peak distance related to heart rate, dicrotic minima, diastolic peak from Photoplethysmogram (PPG) signals robustly. Our ...
Humans Unsupervised Machine Learning Signal Processing, Computer-Assisted Heart Rate Algorithms Photoplethysmography Systole Diastole
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Effects of tibial intraosseous and intravenous administration of Hextend on time of administration and hemodynamics in a hypovolemic swine model.

American journal of disaster medicine Jan 1, 2016
OBJECTIVE: To determine if there were significant differences between the tibial intraosseous (TIO) and intravenous (IV) administration of Hextend relative to time and in hemodynamics in a hypovolemic model.
Infusions, Intraosseous Infusions, Intravenous Diastole Fluid Therapy Sus scrofa Random Allocation Heart Rate Tibia Swine Prospective Studies Hydroxyethyl Starch Derivatives Shock Cardiac Output Arterial Pressure Plasma Substitutes Animals Hemodynamics Systole Hypovolemia Male Time Factors Stroke Volume Treatment Outcome
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