Abstract
Background: Ventricular arrhythmias (VAs) are most frequently the onset of sudden cardiac death, and early detection is key for survival. Limited studies suggest that wrist-worn photoplethysmography (PPG) sensors can detect VA. Ring-type wearable PPG sensors may be more accurate; however, they have not yet been investigated. Objective: We aimed to show the sensitivity of a ring-type wearable PPG sensor to detect induced VA. Methods: Patients undergoing a procedure involving VA induction were included. The CART-I was positioned on the finger during the procedure, and PPG and reference electrocardiogram data were collected. A loss of cardiac output was defined as a flatline, or a decrease in amplitude of ≥50%. Sensitivity was calculated using a contingency table. Bland-Altman analysis and intraclass correlation coefficients were used to assess the agreement between PPG- and electrocardiogram-derived arrhythmia durations. Results: Thirty-seven patients were enrolled, of whom 25 were included: defibrillation threshold testing (n = 16), ventricular tachycardia (VT) ablation (n = 8), and electrophysiological study (n = 1). A total of 67 VA episodes, of which 27 were ventricular fibrillation (VF) and 40 were VT episodes, were recorded. A loss of cardiac output was observed on the tachograms of all VF episodes and 36 VT episodes (90%). The sensitivity was 94% (VF, 100%; VT, 90%). The mean difference in VA duration was 0.1 seconds (95% limits of agreement −1.4 to 1.7), with an intraclass correlation coefficient of 0.998 (95% confidence interval, 0.997–0.999), indicating excellent agreement. Conclusion: This study suggests that a ring-type wearable device can detect, with high sensitivity, changes in arterial pulse flow during induced VA.
| Original language | English |
|---|---|
| Pages (from-to) | 3082-3089 |
| Number of pages | 8 |
| Journal | Heart rhythm |
| Volume | 22 |
| Issue number | 12 |
| Early online date | 2025 |
| DOIs | |
| Publication status | Published - 1 Dec 2025 |
Keywords
- Continuous monitoring
- Out-of-hospital cardiac arrest
- Photoplethysmography
- Ventricular arrhythmias
- Wearable technology
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