Key result
Next-generation ECG wearables and AI complement traditional Holter monitors for continuous remote cardiac monitoring.
Why the study?
With smart ECG devices continuously evolving to monitor heart health, there is a need to understand, compare, and evaluate their performance regarding design and capability.
Answers are grounded in this paper and cite their sources.
Integration of wearable ECG devices, AI, and interoperable IoMT systems is crucial for the development of scalable and patient-centered remote cardiac care.
As per the World Health Organization statistics, cardiovascular disease is the chief cause of death globally, which has been aggravated due to the spread of the recent COVID-19 pandemic. It is therefore imperative that healthcare providers should think ahead and protect hearts to reduce the mortality rate. Driven by the urge to continuously monitor and to keep a check on one’s heart health status, in this digital era, smart electrocardiogram (ECG) devices are continuously evolving. It is therefore required to understand, compare, and evaluate the performance of these health monitoring devices with respect to their design and capability to enable end-users to make a proper choice. Innovative and smart ECG wearables and devices that acquire the ECG information, an artificial intelligence-based algorithmic approach to interpret ECG data, the internet of medical things settings, and the interoperability and standardization of ECG formats are discussed in detail in this paper.
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Bansal et al. (2026) conducted a review in Cardiovascular disease. Next-generation ECG technologies (wearables, AI, IoT) vs. Traditional Holter monitoring was evaluated. Next-generation ECG technologies, including smart wearables, AI-based algorithms, and IoT systems, offer continuous remote cardiac monitoring capabilities that complement traditional Holter monitors.
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