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Heart disease prediction using ECG-based lightweight system in IoT based on meta-heuristic approach.
Heliyon
December 2024
Department of Computer Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran.
Article Synopsis
- The increasing incidence of cardiovascular disease, particularly heart attacks, complicates diagnosis due to multiple symptoms, prompting the need for improved diagnostic models.
- This paper presents a two-step classification method using optimized support vector machines and fuzzy logic to analyze ECG signals, enhancing heart disease detection.
- The method achieved high performance metrics with average accuracy, sensitivity, and specificity of 98.58%, 98.13%, and 96.47%, respectively, validated using the MIT-BIH arrhythmia dataset on the MATLAB platform.
Heartwheels! STEM Mobile Outreach Program.
Adv Physiol Educ
December 2024
Department of Cardiovascular and Thoracic Surgery, University of Louisville, Louisville, KY, USA.
Heartwheels! STEM Mobile Outreach is a scientist-led collaborative, innovative, and reproducible experiential educational program and mobile lab developed to engage people young and old in the cardiovascular sciences, improve health literacy and awareness of heart-healthy living, and spark curiosity in the science, technology, engineering, and mathematics (STEM) fields. Applied hands-on interactive activities at Heartwheels! events include heart dissection, cardiovascular physiology, and mock flow loops (science), medical devices (technology), instrumentation and sensors (engineering), and calibration and validation methods and models (math). These modules are complementary to school activities and are particularly successful from an educational standpoint because they are fun, interactive, engaging, voluntary, open-ended, not graded or assessed, and can lead participants and their families to develop STEM-positive identities.
View Article and Find Full Text PDFKernel random forest with black hole optimization for heart diseases prediction using data fusion.
PeerJ Comput Sci
November 2024
Department of Electrical Engineering, Future University in Egypt, New Cairo, Egypt.
In recent years, the Internet of Things has played a dominant role in various real-time problems and given solutions via sensor signals. Monitoring the patient health status of Internet of Medical Things (IoMT) facilitates communication between wearable sensor devices and patients through a wireless network. Heart illness is one of the reasons for the increasing death rate in the world.
View Article and Find Full Text PDFDesign and validation of Withings ECG Software 2, a tiny neural network based algorithm for detection of atrial fibrillation.
Comput Biol Med
December 2024
Withings, 2 rue Maurice Hartmann, Issy-les-Moulineaux, 92130, France.
Background: Atrial Fibrillation (AF) is the most common form of arrhythmia in the world with a prevalence of 1%-2%. AF is also associated with an increased risk of cardiovascular diseases (CVD), such as stroke, heart failure, and coronary artery diseases, making it a leading cause of death. Asymptomatic patients are a common case (30%-40%).
View Article and Find Full Text PDFA pilot survey of breast cancer survivors' reporting of palpitations to healthcare providers.
Womens Health (Lond)
December 2024
Department of Psychology and Neuroscience, Baylor University, Waco, TX, USA.
Background: Breast cancer survivors (BCS) may experience cardiotoxicities from chemotherapy and oral endocrine therapy. Although a few studies have documented that palpitations are prevalent and associated with poorer outcomes, there is limited to no information on BCS' reporting of palpitations to healthcare providers.
Objectives: To compare BCS who did and did not report their palpitations to a healthcare provider and describe how those who did report palpitations recalled their provider responding.
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