Why the study?
Traditional diagnostic techniques like ECG are limited by the need for specialized equipment and qualified professionals, requiring new systems for early detection and remote management.
A proposed IoT and machine learning-based remote ECG monitoring system aims to enable continuous real-time cardiac diagnosis and personalized management.
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Requires prospective validation before clinical adoption; leaves open real-world impact of IoT-ML ECG systems on outcomes.
Rane et al. (2024) studied this question.
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