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Background: The Apple Watch has the capability to record a lead 1 electrocardiogram (ECG) and can identify and report atrial fibrillation. The use for detecting myocardial ischaemia is not endorsed by Apple but is documented in this case.
Case Summary: A 76-year-old man made a lead 1 ECG with his Apple Watch immediately after exercising on a cross trainer. He was fully asymptomatic. The ECG showed an unusual negative T-wave in this lead 1 that deepened in a few minutes and returned to normal after 22 min. He consulted a cardiologist and a standard exercise ECG confirmed the negative T-wave in lead 1 after maximal exercise and in addition showed widespread ST-depression indicating myocardial ischaemia, again without any clinical symptoms. Further studies revealed severe obstructive three-vessel coronary artery disease that was considered not suitable for percutaneous intervention. A coronary artery bypass operation on all involved vessels was performed successfully. Recovery was uneventful and an exercise ECG repeated 11 weeks later was normal.
Discussion: We demonstrated that the lead 1 ECG made with the Apple Watch can reliably record T-wave changes indicating myocardial ischaemia. The use of the Apple Watch to document ischaemic changes should be studied systematically for its potential to identify myocardial ischaemia, mainly triggered by symptoms but maybe for asymptomatic persons as well.
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http://dx.doi.org/10.1093/ehjcr/ytae043 | DOI Listing |
Glob Heart
September 2025
Cardiology department, Faculty of Medicine, Al Azhar University, Egypt.
The validity of Apple Watch for measuring heart rate (HR) and oxygen saturation (SpO) in patients with cardiac diseases is still unclear. Therefore, this study aimed to investigate the accuracy of the Apple Watch in measuring HR and SpO in patients with cardiac diseases. A cross-sectional study recruited 260 cardiac patients, including 190 with regular heart rhythm and 70 with cardiac arrhythmia.
View Article and Find Full Text PDFScand J Public Health
September 2025
Department of Global Public Health and Primary Care, Bergen, Norway.
Aims: This paper discusses whether self-monitoring technology for continuous self-evaluation may harm us as individuals and communities. The aspiration of obtaining absolute knowledge is spoken of in . The story of the fall is a basic and universal human myth that warns against the aspiration to acquire absolute knowledge.
View Article and Find Full Text PDFArthroplast Today
October 2025
Department of Orthopaedic Surgery, Duke University School of Medicine, Duke University, Durham, NC, USA.
Background: Total knee (TKA) and hip arthroplasty (THA) effectively treat end-stage osteoarthritis by restoring mobility and reducing pain; however, it is unclear how balance and steadiness compare between TKA and THA patients. This study utilized wearable technology to objectively compare functional recovery between TKA and THA patients.
Methods: Two Hundred Nine patients underwent TKA (n = 152) or THA (n = 57) and were followed for 1 year.
Background: Digital health technologies can potentially improve clinical research efficiency and increase participant diversity but have challenges with long-term participant engagement.
Objectives: The Heartline Study evaluated the impact of a mobile app-based heart health engagement program with the Irregular Rhythm Notification (IRN) and electrocardiogram features of the Apple Watch on diagnosis, treatment, and outcomes of atrial fibrillation in U.S.
Physiol Meas
September 2025
Charité-Universitätsmedizin Berlin, Institute of Physiology, Center for Space Medicine and Extreme Environments Berlin, Berlin, Germany.
Wearable devices are becoming increasingly prevalent, offering the capability to estimate energy expenditure. Among these devices, the Apple Watch has demonstrated notable results in estimating energy expenditure during physical activity, especially compared to other wearable devices. Its accuracy in determining energy expenditure during electromyostimulation (EMS) training remains unexplored and is investigated in this work.
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