Anoop N Koshy1, Jithin K Sajeev1, Nitesh Nerlekar2, Adam J Brown2, Kevin Rajakariar1, Mark Zureik1, Michael C Wong1, Louise Roberts1, Maryann Street3, Jennifer Cooke1, Andrew W Teh4. 1. Monash University, Eastern Health Clinical School, Department of Cardiology, Box Hill Hospital, Victoria, Australia. 2. Monash Cardiovascular Research Centre, Department of Medicine, Monash University and Monash Heart, Monash Health, Clayton, Victoria, Australia. 3. Monash University, Eastern Health Clinical School, Department of Cardiology, Box Hill Hospital, Victoria, Australia; Deakin University, Geelong, Victoria, Australia. 4. Monash University, Eastern Health Clinical School, Department of Cardiology, Box Hill Hospital, Victoria, Australia; Melbourne University, Austin Hospital Clinical School, Department of Cardiology, Heidelberg, Victoria, Australia. Electronic address: Andrew.teh@easternhealth.org.au.
Abstract
BACKGROUND: Despite studies demonstrating the accuracy of smart watches (SW) and wearable heart rate (HR) monitors in sinus rhythm, no data exists regarding their utility in arrhythmias. METHODS: 102 hospitalized patients were evaluated at rest using continuous electrocardiogram (ECG) monitoring with concomitant SW-HR (FitBit, FB, Apple Watch, AW) for 30 min. RESULTS: Across all devices, 38,616 HR values were recorded. Sinus rhythm cohort demonstrated strong agreement for both devices with a low bias (FB & AW Bias = 1 beat). In atrial arrhythmias, AW demonstrated a stronger correlation than FB (AW rs = 0.83, FB rs = 0.56, both p < 0.01) with a lower bias (Bias AW = -5 beats, FB = -18 beats). Atrial flutter demonstrated strongest agreement in both devices with a mean bias <1 beat. However, in AF, there was significant HR underestimation (Bias FB = -28 beats, AW-8 beats) with wide limits of agreement. Despite HR underestimation in AF, when SW recorded HR ≥ 100 in arrhythmias, 98% of values were within ±10-beats of ECG-HR. CONCLUSIONS: SW demonstrate strong agreement for HR estimation in sinus rhythm and atrial flutter but underestimates HR in AF. Tachycardic episodes recorded at rest on a SW may be suggestive of an underlying atrial tachyarrhythmia and warrant further clinical evaluation. CLINICAL TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (www.anzctr.org.au) ACTRN: 12616001374459.
BACKGROUND: Despite studies demonstrating the accuracy of smart watches (SW) and wearable heart rate (HR) monitors in sinus rhythm, no data exists regarding their utility in arrhythmias. METHODS: 102 hospitalized patients were evaluated at rest using continuous electrocardiogram (ECG) monitoring with concomitant SW-HR (FitBit, FB, Apple Watch, AW) for 30 min. RESULTS: Across all devices, 38,616 HR values were recorded. Sinus rhythm cohort demonstrated strong agreement for both devices with a low bias (FB & AW Bias = 1 beat). In atrial arrhythmias, AW demonstrated a stronger correlation than FB (AW rs = 0.83, FB rs = 0.56, both p < 0.01) with a lower bias (Bias AW = -5 beats, FB = -18 beats). Atrial flutter demonstrated strongest agreement in both devices with a mean bias <1 beat. However, in AF, there was significant HR underestimation (Bias FB = -28 beats, AW-8 beats) with wide limits of agreement. Despite HR underestimation in AF, when SW recorded HR ≥ 100 in arrhythmias, 98% of values were within ±10-beats of ECG-HR. CONCLUSIONS: SW demonstrate strong agreement for HR estimation in sinus rhythm and atrial flutter but underestimates HR in AF. Tachycardic episodes recorded at rest on a SW may be suggestive of an underlying atrial tachyarrhythmia and warrant further clinical evaluation. CLINICAL TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (www.anzctr.org.au) ACTRN: 12616001374459.
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