Author + information
- Anoop Ninan Koshy,
- Jithin Sajeev,
- Mark Zureik,
- Maryann Street,
- Michael C. Wong,
- Louise Roberts and
- Andrew W. Teh
Background: Smart watches that estimate heart rate (HR) are increasingly popular and show strong correlation with HR estimated electrocardiography (ECG) among healthy controls. Although not marketed for medical use, presentations to the emergency room due to device-detected heart rate abnormalities are increasing and a paucity of data exists for its utility in patients with arrhythmias.
Methods: Thirty-six inpatients were prospectively recruited from a single centre (64% male; aged 71 ±12.9 years). Patients were monitored with a 5 lead ECG, while simultaneously wearing a Fitbit Blaze, Apple Watch and finger plethysmograph for thirty minutes.
Results: Across all devices, 4,081 HR values were recorded. Arrhythmias were divided into three categories based on ventricular rate, Low (HR<60), Normal (HR 60-99), Fast (HR ≥100). They included atrial fibrillation (n= 12), atrial flutter (n=6), complete heart block (n=4), sinus bradycardia (n=7), sinus tachycardia (n=3), sinus rhythm (n=3) and ventricular tachycardia (n=1). Compared with the ECG, smart watch accuracy varied based on heart rate category, as assessed by the concordance correlation coefficient (rs value: Spearman's rho) (Table 1).
Conclusions: The Apple Watch demonstrated strongest correlation to the ECG in HR estimation among all patients, specifically during normal HR. All three devices were robust in identifying HR during bradyarrhythmias, but unreliable during tachycardia.
Moderated Poster Contributions
Arrhythmias and Clinical EP Moderated Poster Theater, Poster Hall, Hall C
Sunday, March 19, 2017, 12:45 p.m.-12:55 p.m.
Session Title: Novel Arrhythmia Diagnostics, Therapeutics, and “Wearables”
Abstract Category: 5. Arrhythmias and Clinical EP: Devices
Presentation Number: 1315M-05
- 2017 American College of Cardiology Foundation