Proposta de modelo para transmissão e armazenamento de dados em nuvem do exame Holter com backup local

Abstract

Cardiovascular diseases (CVD) have become the leading cause of death worldwide, with conditions such as coronary artery disease (CAD), myocardial infarction, heart failure (HF), and arrhythmias being particularly prominent. Given the aging population, with age being a risk factor, and the importance of early diagnosis, the electrocardiogram (ECG) stands out as a primary examination; its speed and effectiveness in recording cardiac electrical activity allow for precise measurement of the frequency, rhythm, and dynamics of electrical impulses. However, since the ECG has a short duration, in cases requiring continuous monitoring of 24 hours or more, the use of Holter monitoring becomes viable. Considering that a portion of the population faces difficulties in traveling to centers equipped for these examinations, telemedicine and telemonitoring emerge as tools to optimize the process remotely. Thus, this work aimed to develop a system for transmitting ECG signals in real time to the cloud, proposing a simple and accessible way to monitor cardiac health. To achieve this, a prototype for signal acquisition and a transmission system with local backup were developed. The architecture used a database for processing and sending data to the cloud through the use of threads, ensuring the agility of the information flow. The system proved capable of performing hybrid storage (local and cloud) and reporting specific events, such as bradycardia, tachycardia, and heart rate. Finally, sending this data to a restricted-access online system confirmed the tool's effectiveness in supporting the remote and secure monitoring of patients.