Accuracy of Cardiac Arrhythmias and Conduction Disorders Diagnosis Using Smartwatch Compared to Conventional Electrocardiogram in Patients With Cardiovascular Disease

What this Trial Is About

Researchers are investigating how accurately a smartwatch can detect heart rhythm and conduction problems in patients with cardiovascular diseases. This observational study compares the heart readings from a smartwatch to those from a traditional 12-lead electrocardiogram (ECG) to see how similar the results are and how well the smartwatch's automatic diagnosis matches expert assessments. The study aims to improve early detection and monitoring of heart conditions to prevent serious health issues. Participants will have their heart activity recorded using an Apple Watch Series 4 and a conventional ECG device. The smartwatch will record two 30-second ECG tracings while the patient is at rest, attached to the left wrist with the right hand touching the sensor to complete the measurement. The conventional ECG will capture 12 leads including a 30-second rhythm trace. The smartwatch's automatic diagnoses will be compared with the conventional ECG results and interpreted by two independent cardiologists. During the study, participants provide clinical and demographic information and undergo both smartwatch and conventional ECG recordings. The researchers will analyze the similarity of heart rate, waveforms, and intervals between methods, along with the diagnostic accuracy of atrial fibrillation and other heart rhythm disorders. The main outcome is the agreement between the smartwatch and conventional ECG diagnoses. Safety and data quality will be monitored, and participants may withdraw at any time without affecting their medical care. The total study duration is around 30 days for outcome assessment.

Accuracy of Cardiac Arrhythmias and Conduction Disorders Diagnosis Using a Smartwatch