Automated Diagnostic Performance of Smartwatch ECG for Arrhythmia Detection Using the PulseAI Neural Network.

Automated Diagnostic Performance of Smartwatch ECG for Arrhythmia Detection Using the PulseAI Neural Network.

The study is to evaluate the performance of the PulseAI neural network technology at interpreting ECG data recorded using a single-lead Smartwatch (Apple Watch).

Under subject consent, subjects will have a 12-lead ECG immediately followed by a smartwatch ECG. The heart rhythm and ECG interval measurements will be compared between the 12-lead ECG and smartwatch ECG.

The arrhythmias will include:

• Atrial Fibrillation/Flutter
• Tachycardia
• Bradycardia
• Premature Atrial Contractions
• Premature Ventricular Contractions

Inclusion Criteria:

• Patient aged 22 or older, able and willing to participate in the study
• Patient admitted to hospital for ablation, cardioversion, or cardiac electrophysiological exploration.
• Patient who has read the information note and has given their consent before any procedure related to the study.

Exclusion Criteria:

• Patient with a pacemaker, implantable defibrillator or cardiac resynchronisation therapy device.