Background: Arrhythmia symptoms are frequent complaints in children and often require a pediatric cardiology evaluation. Data regarding the clinical utility of wearable technologies are limited in children. We hypothesize that an Apple Watch can capture arrhythmias in children.
Methods: We present an analysis of patients ≤18 years-of-age who had signs of an arrhythmia documented by an Apple Watch. We include patients evaluated at our center over a 4-year-period and highlight those receiving a formal arrhythmia diagnosis. We evaluate the role of the Apple Watch in arrhythmia diagnosis, the results of other ambulatory cardiac monitoring studies, and findings of any EP studies.
Results: We identify 145 electronic-medical-record identifications of Apple Watch, and find arrhythmias confirmed in 41 patients (28%) [mean age 13.8 ± 3.2 years]. The arrythmias include: 36 SVT (88%), 3 VT (7%), 1 heart block (2.5%) and wide 1 complex tachycardia (2.5%). We show that invasive EP study confirmed diagnosis in 34 of the 36 patients (94%) with SVT (2 non-inducible). We find that the Apple Watch helped prompt a workup resulting in a new arrhythmia diagnosis for 29 patients (71%). We note traditional ambulatory cardiac monitors were worn by 35 patients (85%), which did not detect arrhythmias in 10 patients (29%). In 73 patients who used an Apple Watch for recreational or self-directed heart rate monitoring, 18 (25%) sought care due to device findings without any arrhythmias identified.
Conclusion: We demonstrate that the Apple Watch can record arrhythmia events in children, including events not identified on traditionally used ambulatory monitors.
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http://dx.doi.org/10.1038/s43856-023-00392-9 | DOI Listing |
J Funct Morphol Kinesiol
December 2024
Health & Human Physiological Sciences, Skidmore College, Saratoga Springs, NY 12866, USA.
Background: The Apple Watch provides promising health data that could aid in increasing exercise adherence; regular exercise can help individuals manage and prevent diseases such as obesity and cardiovascular disease. However, the impact of skin pigmentation on the accuracy of the Apple Watch Series 9 for measures of energy expenditure (EE) and heart rate (HR) is unknown.
Purpose: The purpose of this study was to determine the accuracy of the Apple Watch Series 9 on various skin pigmentations for measures of EE and HR.
Dermatitis
December 2024
From the Department of Stomatognathic Function and Occlusal Reconstruction, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Cureus
December 2024
Physiology, American University of Antigua, St. John's, ATG.
Wearable technology, including devices like Apple and Samsung watches, Fitbits, and smart rings, has become widely popular. However, while these consumer electronics are readily available, they do not yet meet the accuracy and safety standards required for medical devices by the U.S.
View Article and Find Full Text PDFHeliyon
December 2024
Centro Cardiologico Monzino IRCCS, 20138, Milan, Italy.
Background: Traditional screening methods, such as 12-lead electrocardiograms (ECGs) and Holter monitors, often fall short in detecting transient arrhythmias. However, advancements in wearable technology, like the Apple Watch®, enable real-time rhythm monitoring and specific arrhythmia detection through dedicated algorithms.
Case Description: A 60-year-old man with a history of arrhythmogenic cardiomyopathy and an implanted cardioverter-defibrillator (ICD), during a walk, experienced palpitations and dizziness; the Apple Watch® alerted him of an elevated heart rate.
Circ J
December 2024
Department of Cardiovascular Medicine, Endocrinology and Metabolism, Faculty of Medicine, Tottori University.
Background: The Apple Watch (AW) can record single-lead electrocardiograms (ECGs) and has been investigated for arrhythmia detection. In this study we evaluated its accuracy in identifying the origin of premature ventricular contractions (PVCs) vs. standard 12-lead ECGs.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!