Key result
A smart Tele-ECG system uses classification and compression algorithms to monitor arrhythmias and reduce MI risk.
Why the study?
Tele-ECG can assist in monitoring heartbeat anomalies, reduce heart attack risk, and address healthcare infrastructure discrepancies in remote locations.
Development of smart Tele-ECG systems utilizing advanced classification and compression algorithms offers a potential solution for remote cardiac monitoring and overcoming healthcare infrastructure disparities.
May support remote anomaly monitoring in resource-limited settings; leaves open prospective outcome validation before clinical use.
Technology is developed to benefit society. One of the applications of technology in the healthcare sector is telehealth monitoring system. The system proposes a new way of communication between the doctor and the patient, even in a very remote location. In this paper, we elaborate the progress and challenges regarding the development of Tele-ECG in Indonesia, which includes data acquisition, feature extraction, data compression, classification algorithm, mobile and web development system and small device implementation on an FPGA board. The classification is conducted by using LVQ, GLVQ, FNLVQ, FNLVQ-PSO, FNGLVQ, and AM-GLVQ. The compression is conducted by using SPIHT algorithm. Tele-ECG can assist in monitoring heartbeat anomalies and reduce the risk of heart attack. It could also be a solution for infrastructure discrepancy in healthcare.
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Jatmiko et al. (2019) conducted a review in Heart diseases. Tele-ECG system was evaluated. A smart Tele-ECG system developed in Indonesia utilizes various classification and compression algorithms to assist in monitoring heartbeat anomalies and reducing the risk of heart attacks.
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