TY - JOUR
T1 - Smart watches for heart rate assessment in atrial arrhythmias
AU - Koshy, Anoop N.
AU - Sajeev, Jithin K.
AU - Nerlekar, Nitesh
AU - Brown, Adam J.
AU - Rajakariar, Kevin
AU - Zureik, Mark
AU - Wong, Michael C.
AU - Roberts, Louise
AU - Street, Maryann
AU - Cooke, Jennifer
AU - Teh, Andrew W.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - 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.
AB - 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.
KW - Accuracy
KW - Arrhythmias
KW - Atrial fibrillation
KW - Heart rate
KW - Smart watch
UR - http://www.scopus.com/inward/record.url?scp=85048092113&partnerID=8YFLogxK
U2 - 10.1016/j.ijcard.2018.02.073
DO - 10.1016/j.ijcard.2018.02.073
M3 - Article
AN - SCOPUS:85048092113
SN - 0167-5273
VL - 266
SP - 124
EP - 127
JO - International Journal of Cardiology
JF - International Journal of Cardiology
ER -