International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025
p-ISSN: 2395-0072
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IOT based Post Monitoring and Controlling System for Cardiac Patients Mini. D 1, H.SAnuja ,M.E,2 1PG Scholar, BioMedical Engineering, Udaya school of engineering, Kanyakumari. 2Professor BioMedical department, Udaya school of engineering, Kanyakumari.
--------------------------------------------------------------------------***-----------------------------------------------------------------------diagnosis systems have garnered significant interest in Abstract — The heart is a vital organ in the human body
clinical practice due to the swift advancements in deep learning and AI. The majority of these systems are made for a certain environment in which there are enough annotated samples that are evenly distributed and only belong to one class of CVDs. Unfortunately, this ideal environment is not always possible in the complex realworld setting, where it can be difficult to collect annotated ECG segments and several CVDs can be recognized from each segment. Additionally, it is possible that the test and training data in the actual world are not drawn from the same distribution, which significantly impairs the model's performance. Current systems' clinical applications are limited by the gap between the ideal and real-world environments. In summary, the clinical implementation of autonomous diagnosis systems presents three challenges: 1) The issue of label scarcity. 2) Inadequate results on hidden datasets. 3) Multiple CVDs occurring at the same time One of the biggest global concerns facing humanity is health[1]. The World Health Organization (WHO) acknowledges that everyone has a basic right to optimal health. Heart disease continues to be a global health crisis, affecting millions of people and leading to high rates of morbidity and mortality. According to estimates from the World Health Organization (WHO), cardiovascular illnesses account for 17.9 million deaths annually, or almost 31% of all fatalities worldwide. Heart disease continues to be a significant burden on society and the healthcare system despite improvements in medical technology and treatment modalities. An Internet of Things-based patient monitoring system for postoperative heart problems. They discovered an affordable, real-time IoT-based post-operative cardiac disease monitoring device. [2]. The Heart Aid, a commercially available AED produced by the Cardiac Resuscitator Corp. in Wilsonville, Oregon, was the specific AED examined in this study. The logic parameters assessed in this study and currently in widespread usage differ from those employed in the prior experiments, despite the fact that there has been limited clinical use of this device previously documented. There were two phases to this assessment. validation of algorithms. A single unit was shown a set of 205 real patient rhythms that had previously been captured as part of a study on cardiac arrest in rural Iowa
because it acts as a pump, delivering nutrients and oxygen to the body while also transporting waste products from metabolism, including carbon dioxide, to the lungs. Therefore, the human body's heart health is extremely important. Surgical problems are more likely to occur in older patients with pre-existing heart conditions. It is essential to keep an eye on the heart to prevent this risk. Most of the previously developed heart issue monitoring systems are unable to identify environmental factors in real time and provide cost-effective real-time heart monitoring. An Internet of Things (IoT)-based real-time postoperative cardiac disease patient monitoring system was developed in order to address this issue. The designed device is portable, easy to use, and reasonably priced. The user will be able to test many heart parameter indices simultaneously, and the results will be shown in a mobile application. Anybody can use the system because of the way it is designed. The Arduino UNO is used in conjunction with a variety of analog sensors to monitor different aspects of the heart. In this system, the heart is monitored by the temperature, pressure, and heart rate sensors. To ascertain the ambient state, a temperature is used. Numerous people were used to test and validate the strategy. In order to evaluate and detect heart activity in real time, the system continuously monitors a large number of individuals. The data processing capabilities of the system may disclose cardiac activity in some of the people being watched, as well as the cause of heart disease. We may deliver cephalosporins in regular interval to the patients automatically by using parameters. Keyword’s: Mobile Health Application (mHealth), Automated Drug Administration, Cephalosporin Delivery, Wearable Medical Devices, Remote Patient Monitoring, Smart Healthcare System.
1. INTRODUCTION In recent years, cardiovascular diseases (CVDs) have emerged as the primary cause of morbidity and mortality worldwide. The 12-lead electrocardiography (ECG), a non-invasive test, is frequently used to diagnose CVDs. Artificial intelligence (AI)-assisted automatic
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