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171 articles for “heart”
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Assessment of Resting Heart Rate and It’s Association with Cardiovascular Risk in Young Adults
Abstract: Resting heart rate is an easily measurable physiological parameter that reflects autonomic nervous system balance and cardiovascular function. This article aims to assess resting heart rate and examine its association with cardiovascular risk in young adults. A comprehensive review of recent literature highlights that elevated resting heart rate is significantly associated with increased risk of hypertension, metabolic syndrome, endothelial dysfunction, and long-term cardiovascular morbidity and mortality. In young adults, resting …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 2, 2026 · pp. 6–23 Read article
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Tools, Modern Drugs, and Latest Investigations for the Diagnosis and Treatment of Heart Failure: A Systematic Review of the General Causes
Abstract: Heart failure (HF) diagnosis and treatment present formidable challenges, given the absence of a definitive single test. This systematic literature review aims to comprehensively analyze the current landscape of diagnostic tools, modern drugs, and latest investigative approaches in HF management. Recognizing the complexity of HF etiology, this systematic review emphasizes the importance of advanced diagnostic methods, such as genetic testing and artificial intelligence applications. The systematic review was conducted to …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 1–10 Read article
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The Rising Burden of Heart Attacks: Causes, Trends, and Prevention Strategies
Abstract: Heart attacks, or myocardial infarctions, remain a leading cause of morbidity and mortality worldwide, with their incidence rising steadily across diverse populations. This review explores the increasing prevalence of heart attacks, emphasizing traditional risk factors, such as poor diet, physical inactivity, smoking, and medical conditions like hypertension, diabetes, and hyperlipidemia. It also highlights emerging risk factors, such as chronic infections, pollutants, substance abuse, and the lasting cardiovascular effects of COVID-19. …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 2, 2025 · pp. 1–11 Read article
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Role of ion Regulation in Heartbeat Initiation
Abstract: The heart can beat quite 2 billion times in normal life, but the mechanism by which the guts beats is that the subject of intense research. Since the invention of pacemaker currents in 1978, several studies have shown that rhythmic changes in membrane tension (the "membrane tension clock") underlie the mechanism of automation. It's the depolarizing current activated during hyperpolarization. Therefore, when the guts cells recover, it's activated, the cell …
Published in Research and Reviews: A Journal of Medicine Read article
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Post Pandemic Cardiac Prediction: Analysing Heart Attack Mortality Rate In Vaccinated Adults
Abstract: Heart disease has emerged as a prominent contributor to global mortality rates. Discovered it early and providing timely management can significantly reduce the incidence of heart failures, death rates, and diagnostic costs associated with heart disease. In this study, we propose employing notification system to assess the risk of heart disease and explore potential associations between vaccination status and mortality rates due to heart attack among adult populations in the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 45–51 Read article
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From Concept to Clinical Practice: A Detailed Review of Total Artificial Heart Devices
Abstract: Total artificial heart (TAH) devices are mechanical systems designed to take over the role of a failing heart in patients with severe heart failure. Unlike ventricular assistance devices (VADs), which only support one side of the heart, TAHs replace both ventricles, providing a possible solution for patients who cannot receive a heart transplant. Over time, TAH technology has evolved with a focus on improving biocompatibility, reducing complications related to the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 1–4 Read article
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Classifying Abnormalities in Heartbeat Sound
Abstract: Heartbeat sounds play a major role in the detection of various diseases such as heart disease, hyperthyroidism, and high blood pressure in their early stages. In the proposed method, various abnormal and healthy heartbeat audio signals are given as input and the features are extracted using MFCC (mel-frequency cepstral coefficients). Then, a deep learning approach is applied in which the MFCC audio signals are sent to the CNN (convolutional neural …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 1, 2024 · pp. 24–31 Read article
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Comprehensive Perspective on Coronary Heart Disease: A Review
Abstract: The study explores intricate links between infections, inflammation, and coronary heart disease (CHD), emphasizing their multifaceted contributions to cardiovascular complications. It identifies infections as key players in atherosclerosis, a pivotal element in CHD development, with high antibody levels to specific pathogens as potential risk factors. The article highlights the role of the immune response and elevated C reactive protein (CRP) levels in amplifying infection-related CHD risks and recognizes smoking as …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 1, 2024 · pp. 26–40 Read article
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Comparative Analysis of Heart Disease Prediction System
Abstract: In the present world, where heart illnesses are on the rise, it is crucial to forecast these diseases. Performing the task on heart disease is a bit difficult and it must be finished precisely and successfully. Heart disease identification relies heavily on Machine Learning (ML) and data mining approaches. The primary focus of the review paper is that patients are easily prone to cardiac diseases depending on medical traits. Using …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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IoT-based Heart Attack Prediction System Using Machine Learning
Abstract: Heart disease, particularly heart attacks, is one of the leading causes of mortality worldwide. Timely detection and prompt intervention play a vital role in significantly improving the survival rates of individuals at risk of cardiac events. Unfortunately, most traditional healthcare systems are not equipped with mechanisms for continuous, real-time monitoring of patients' cardiovascular health. This limitation makes it extremely difficult for healthcare providers to identify warning signs early enough to …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 2, 2025 · pp. 1–5 Read article
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Machine Learning-Based Approach for Heart Disease Prediction
Abstract: Heart disease is a significant global health challenge, with early diagnosis and prediction being essential for reducing mortality rates. Machine Learning (ML), an efficiently developing field within Artificial Intelligence, provides innovative methods for analyzing complex clinical data to predict heart disease. This review examines the basic machine learning techniques, data, and metrics used in cardiovascular disease prediction. It explores the role of supervised learning, such as decision trees and logistic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 64–73 Read article
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A Systematic Review on Coronary Heart Disease: A Transient Ischemic Stroke
Abstract: Coronary Heart Disease (CHD) and Transient Ischemic Attack (TIA) are significant cardiovascular and cerebrovascular disorders that often share similar risk factors and underlying pathophysiological processes. CHD involves the narrowing or obstruction of the coronary arteries due to atherosclerosis, resulting in diminished blood flow to the heart. A transient ischemic attack (TIA), often called a "mini stroke," occurs when blood flow to the brain is briefly disrupted, usually due to a …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 Read article
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SGLT2 Inhibitors in Heart Failure and Chronic Kidney Disease: Expanding Therapeutic Horizons beyond Glycemic Control
Abstract: Heart failure (HF) and chronic kidney disease (CKD) are closely related clinical diseases that significantly increase morbidity and death worldwide. The co-occurrence of both conditions is frequently referred to as the "cardio-renal syndrome," in which the failure of one organ hastens the decline of the other. The original purpose of sodium–glucose cotransporter-2 (SGLT2) inhibitors was to treat type 2 diabetic mellitus (T2DM) by reducing blood sugar levels. Nevertheless, new data …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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Experimental Study on Heart Disease Prediction Using Different Machine Learning Algorithms
Abstract: Heart disease which can also be referred to as the cardiovascular disease is one of the raising concerns in today’s world. It is one of the major health problems causing death among humans irrespective of the age group and therefore has made it necessary to look into different medical factors that are required to predict the same in advance using the collected historical datasets of various patients. Thus we have …
Published in Journal of Artificial Intelligence Research & Advances Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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Heart Disease AI-based Prediction: A Comparative Analysis
Abstract: The present investigation looks at how well various machine learning algorithms predict cardiac disease. Since heart disease is one of the major causes of death worldwide, early detection and precise diagnosis are essential for managing and treating the condition. Our goal is to enhance diagnostic processes and improve patient outcomes by leveraging machine learning techniques. Six widely-used machine learning algorithms are evaluated in this research paper. These algorithms were selected …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 21–29 Read article
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A Lightweight Cost-Sensitive Explainable Ensemble Framework for Early Heart Disease Risk Prediction
Abstract: Cardiovascular disease is still one of the leading causes of death, and hence, the early prediction of risk is a very important task in preventive medicine. Although recent studies have shown encouraging results in the application of machine learning algorithms to the prediction of heart disease, it has been noticed that most of the algorithms are more concerned with accuracy-driven optimization than the concerns of safety and false negatives. In …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Review on Machine Learning Techniques for Heart Failure Analysis in Health Industries
Abstract: There are few bodily components as crucial as the heart. It aids in the filtration and distribution of blood to every area of a body. The world's biggest cause of death is heart disease. It has been reported that symptoms include breathing difficulties, fast heartbeat, and chest discomfort. They analyze this data on a regular basis. This review begins with a brief introduction of cardiac disease and the present methods …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 29–43 Read article
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A study on Controlling Artificial Heart
Abstract: The artificial heart has moved from a visionary concept to a clinically viable organreplacement technology, yet its longterm success hinges on the sophistication of its control architecture. This paper presents a comprehensive investigation of closedloop control strategies that enable an artificial heart to mimic the dynamic, beattobeat adaptability of its biological counterpart. We first construct a highfidelity cardiovascular model that integrates ventricular elastance, systemic and pulmonary vascular compliance, and realtime …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 14–23 Read article
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Smart Wearable Health Pendant Using IoT and Machine Learning for Heart Rate Monitoring and Detecting Falls
Abstract: Cardiovascular illnesses and accidental falls frequently occur among individuals and at-risk populations. This is the reason we genuinely require a device that can monitor their well-being continuously. We are referring to a health pendant designed for seniors and groups at risk can wear. This health pendant leverages Internet of Things technology and machine learning to monitor heart rate and identify falls. Our health pendant system incorporates an ESP32 microcontroller, a …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article