Maximizing efficiency with a Cloud Connected ECG Devices in Remote Cardiac Diagnosis

Abstract

The major cause of death worldwide are cardiovascular diseases with a disproportionate impact on various underserved populations. This research paper helps to improve remote cardiac diagnosis analysis and monetary with the help of cloud connected ECG devices especially in the population where the resources are limited. There are many recent advancements in iot based ECG monitoring devices which help for real time data collection data transmission analysis and monitoring, which have been studied in this research paper. The potential components which make the systems very support you are variable ECG sensors mobile applications and cloud-based platforms for processing and storage of the data. The cloud connected ECG devices are very popular and the increased use of them is because of applications like accessibility to continuous monitoring potential for early detection of diseases like  arrhythmias. The upcoming research challenges as reviewed in this paper are the quality of the signal patient compliance and the data security. The automation of ECG interpretation and risk stratification can be done by using the latest AI and ML algorithms. To summarise this cloud connected ECG devices are helpful in representing a positive approach and extending cardiac care beyond the expected traditional health care and environment. The work done in this paper can be taken further explore research ideas to optimise the clinical utility and also to address the various implementation barriers.