Background

Cardiac arrhythmias are among the leading causes of cardiovascular morbidity and mortality worldwide. Early detection is critical for preventing complications such as stroke, heart failure, and sudden cardiac death. Traditional diagnostic tools such as electrocardiography (ECG) and Holter monitoring have limitations in detecting intermittent arrhythmias. Recent advancements in wearable technologies have transformed continuous cardiac monitoring and enabled real-time arrhythmia detection.

Objective

This study evaluates the effectiveness, accuracy, clinical applications, challenges, and future opportunities of wearable technologies for arrhythmia detection.

Methods

A systematic observational analysis was conducted involving 750 participants monitored using wearable cardiac devices, including smartwatches, ECG patches, chest straps, and photoplethysmography (PPG)-based sensors. Detection accuracy, patient compliance, diagnostic yield, and clinical outcomes were assessed.

Results

Wearable devices demonstrated an overall arrhythmia detection sensitivity of 92.4% and specificity of 89.7%. Atrial fibrillation was the most frequently detected arrhythmia (43%), followed by premature ventricular contractions (21%), supraventricular tachycardia (18%), and bradyarrhythmias (11%). Continuous monitoring significantly increased diagnostic yield compared to traditional Holter monitoring.

Conclusion

Wearable technologies represent a promising approach for early arrhythmia detection and long-term cardiac monitoring. Integration of artificial intelligence, cloud-based analytics, and telecardiology platforms is expected to further improve diagnostic accuracy and patient outcomes.