Key result
AI applied to wearable ECG and PPG signals shows promise for detecting cardiovascular conditions.
Why the study?
With the growing importance of mobile technology and AI in healthcare, automated cardiac diagnostic systems have gained strategic significance, motivating a summary of AI use in analyzing wearable ECG signals.
Population
152 selected publications
Design
Narrative literature review
Authors
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Highlights the exploratory potential of wearable-based population screening; leaves open the clinical utility and accuracy of these.
The integration of AI into smartwatch ECG and PPG analysis offers a promising new frontier for early detection of cardiac disorders and population-scale screening, enhancing personalized and preventive cardiology.
Bartusik‐Aebisher et al. (2025) conducted a review in Cardiovascular conditions. Artificial intelligence in the analysis of ECG signals from wearable devices was evaluated. Artificial intelligence algorithms applied to wearable ECG and PPG signals show promise for detecting cardiovascular conditions, based on a narrative review of 152 publications.
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