Extended cardiac monitoring in patients and the use of implantable cardiovascular electronic devices can increase detection of atrial fibrillation (AF), but the devices have limitations including short battery life and lack of immediate feedback. Can new smartphone tools that can record an electrocardiogram (ECG) strip and make an automated diagnosis overcome these limitations and facilitate timely diagnosis? A new study finds that the use of these devices is challenging in patients with abnormal ECGs. Better algorithms and machine learning may help these tools provide more accurate diagnoses, investigators say.
— Weiterlesen www.sciencedaily.com/releases/2022/10/221012103146.htm