AIMC Topic: Blood Pressure

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Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System.

Sensors (Basel, Switzerland) Jul 9, 2019
According to the survey on various health centres, smart log-based multi access physical monitoring system determines the health conditions of humans and their associated problems present in their lifestyle. At present, deficiency in significant nutr...
Electroencephalography Electromyography Body Temperature Multimedia Neural Networks, Computer Algorithms Deep Learning Wearable Electronic Devices Humans Electrocardiography Monitoring, Physiologic Blood Pressure Bayes Theorem
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Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing.

Circulation. Cardiovascular quality and outcomes Jul 9, 2019
BACKGROUND: Data sharing accelerates scientific progress but sharing individual-level data while preserving patient privacy presents a barrier.
Humans Computer Simulation Deep Learning Hypertension Confidentiality Treatment Outcome Data Collection Randomized Controlled Trials as Topic Information Dissemination Blood Pressure Computer Security Antihypertensive Agents
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A Non-Invasive Continuous Blood Pressure Estimation Approach Based on Machine Learning.

Sensors (Basel, Switzerland) Jun 6, 2019
Considering the existing issues of traditional blood pressure (BP) measurement methods and non-invasive continuous BP measurement techniques, this study aims to establish the systolic BP and diastolic BP estimation models based on machine learning us...
Humans Blood Pressure Determination Blood Pressure Pulse Wave Analysis Machine Learning Algorithms Hypertension Photoplethysmography
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Statistical Approaches Based on Deep Learning Regression for Verification of Normality of Blood Pressure Estimates.

Sensors (Basel, Switzerland) May 8, 2019
Oscillometric blood pressure (BP) monitors currently estimate a single point but do not identify variations in response to physiological characteristics. In this paper, to analyze BP's normality based on oscillometric measurements, we use statistical...
Adult Male Middle Aged Deep Learning Reproducibility of Results Aged Aged, 80 and over Young Adult Systole Statistics as Topic Diastole Adolescent Child Regression Analysis Blood Pressure Humans Algorithms Female
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A novel deep learning based automatic auscultatory method to measure blood pressure.

International journal of medical informatics Apr 29, 2019
BACKGROUND: It is clinically important to develop innovative techniques that can accurately measure blood pressures (BP) automatically.
Deep Learning Blood Pressure Determination Blood Pressure Automation Stethoscopes Humans Young Adult Adult Male Middle Aged Neural Networks, Computer Algorithms Female
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Predicting blood pressure from physiological index data using the SVR algorithm.

BMC bioinformatics Feb 28, 2019
BACKGROUND: Blood pressure diseases have increasingly been identified as among the main factors threatening human health. How to accurately and conveniently measure blood pressure is the key to the implementation of effective prevention and control m...
Blood Pressure Linear Models Female Adult Male Support Vector Machine Humans Neural Networks, Computer Machine Learning
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A Highly Sensitive Pressure-Sensing Array for Blood Pressure Estimation Assisted by Machine-Learning Techniques.

Sensors (Basel, Switzerland) Feb 19, 2019
This work describes the development of a pressure-sensing array for noninvasive continuous blood pulse-wave monitoring. The sensing elements comprise a conductive polymer film and interdigital electrodes patterned on a flexible Parylene C substrate. ...
Humans Machine Learning Algorithms Diagnosis, Computer-Assisted Blood Pressure Determination Blood Pressure Pulse Wave Analysis Heart Rate
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Quantifying lung ultrasound comets with a convolutional neural network: Initial clinical results.

Computers in biology and medicine Feb 7, 2019
Lung ultrasound comets are "comet-tail" artifacts appearing in lung ultrasound images. They are particularly useful in detecting several lung pathologies and may indicate the amount of extravascular lung water. However, the comets are not always well...
Middle Aged Female Image Interpretation, Computer-Assisted Humans Artifacts Neural Networks, Computer Aged Extravascular Lung Water Lung Adult Male Ultrasonography Blood Pressure
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Predicting Hemodynamic Shock from Thermal Images using Machine Learning.

Scientific reports Jan 14, 2019
Proactive detection of hemodynamic shock can prevent organ failure and save lives. Thermal imaging is a non-invasive, non-contact modality to capture body surface temperature with the potential to reveal underlying perfusion disturbance in shock. In ...
Infant Optical Imaging Longitudinal Studies Humans Models, Statistical Adolescent Shock, Cardiogenic Blood Pressure Machine Learning Child, Preschool Thermometry Heart Rate Male Child
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Using Machine Learning to Identify Change in Surgical Decision Making in Current Use of Damage Control Laparotomy.

Journal of the American College of Surgeons Jan 9, 2019
BACKGROUND: In an earlier study, we reported the successful reduction in the use of damage control laparotomy (DCL); however, no change in the relative frequencies of specific indications was observed. In this study, we aimed to use machine learning ...
Trauma Severity Indices Female Young Adult Adult Patient Selection Male Machine Learning Sensitivity and Specificity Humans Quality Improvement Middle Aged Algorithms Laparotomy Blood Transfusion Retrospective Studies Abdominal Injuries Blood Pressure Clinical Decision-Making
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