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Sensors, Vol. 21, Pages 5302: Automatic Detection of Short-Term Atrial Fibrillation Segments Based on Frequency Slice Wavelet Transform and Machine Learning Techniques
uang Zhou Atrial fibrillation (AF) is the most frequently encountered cardiac arrhythmia and is often associated with other cardiovascular and cerebrovascular diseases, such as ischemic heart disease, chronic heart failure, and stroke. Automatic detection of AF by analyzing electrocardiogram (ECG) signals has an important application value. Using the contaminated and actual ECG signals, it is not enough to only analyze the atrial activity of disappeared P wave and appeared F wave in the TQ segment. Moreover, the best analysis method is to combine nonlinear features analyzing ventricular activity based on the detection ...
Source: Sensors - August 5, 2021 Category: Biotechnology Authors: Yaru Yue Chengdong Chen Pengkun Liu Ying Xing Xiaoguang Zhou Tags: Article Source Type: research

What Are the Main Acyanotic Congenital Heart Diseases?
Discussion Congenital heart diseases (CHD) are malformations of the heart and great vessels. It occurs in about 5-8/1000 live births. Cyanotic congenital heart disease is often noted perinatally because of cyanosis, respiratory distress and/or poor feeding or other distress type problems. A review can be found here. Acyanotic congenital heart disease (ACHD) can present at birth but often is seen in older children or adults unless the lesions are severe, especially obstructive lesions. Severe lesions may also cause cyanosis and distress type problems in patients also. Shunting lesions cause problems by diverting blood flo...
Source: PediatricEducation.org - August 17, 2020 Category: Pediatrics Authors: Pediatric Education Tags: Uncategorized Source Type: news

A stacked LSTM for atrial fibrillation prediction based on multivariate ECGs
AbstractAtrial fibrillation (AF) is an irregular and rapid heart rate that can increase the risk of various heart-related complications, such as the stroke and the heart failure. Electrocardiography (ECG) is widely used to monitor the health of heart disease patients. It can dramatically improve the health and the survival rate of heart disease patients by accurately predicting the AFs in an ECG. Most of the existing researches focus on the AF detection, but few of them explore the AF prediction. In this paper, we develop a recurrent neural network (RNN) composed of stacked LSTMs for AF prediction, which called SLAP. This ...
Source: Health Information Science and Systems - April 20, 2020 Category: Information Technology Source Type: research

Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis.
Conclusions: Machine learning in conjunction with deep phenotyping improve prediction accuracy in cardiovascular event prediction in an initially asymptomatic population. These methods may lead to greater insights regarding subclinical disease markers without apriori assumptions of causality. PMID: 28794054 [PubMed - as supplied by publisher]
Source: Circulation Research - August 9, 2017 Category: Cardiology Authors: Ambale-Venkatesh B, Yang X, Wu CO, Liu K, Hundley WG, McClelland RL, Gomes AS, Folsom AR, Shea S, Guallar E, Bluemke DA, Lima JA Tags: Circ Res Source Type: research

Disrupting Today's Healthcare System
This week in San Diego, Singularity University is holding its Exponential Medicine Conference, a look at how technologists are redesigning and rebuilding today's broken healthcare system. Healthcare today is reactive, retrospective, bureaucratic and expensive. It's sick care, not healthcare. This blog is about why the $3 trillion healthcare system is broken and how we are going to fix it. First, the Bad News: Doctors spend $210 billion per year on procedures that aren’t based on patient need, but fear of liability. Americans spend, on average, $8,915 per person on healthcare – more than any other count...
Source: Healthy Living - The Huffington Post - November 9, 2015 Category: Consumer Health News Source Type: news

157 E-Books New to JEFFLINE
Scott Library added these 157 e-books to the growing collection in May and June: Accurate Results in the Clinical Laboratory Adult Emergency Medicine Adult-Gerontology and Family Nurse Practitioner Certification Examination (4th ed.) Advanced Assessment: Interpreting Findings and Formulating Differential Diagnoses (2nd ed.) Advancing Your Career: Concepts of Professional Nursing (5th ed.) Arrhythmia Essentials Atlas of Advanced Operative Surgery Atlas of Clinical Neurology (3rd ed.) Atlas of Hematopathology: Morphology, Immunophenotype, Cytogenetics, and Molecular Approaches Atlas of Human Infectious Diseases Atlas of No...
Source: What's New on JEFFLINE - June 25, 2013 Category: Databases & Libraries Authors: Gary Kaplan Tags: All News Clinicians Researchers Students Teaching Faculty Source Type: news