In a time when pharmaceutical companies no longer have the economic luxury of decades-long development cycles, indication ...

Emphasizing the selection, modeling, classification, and interpretation of data based on advanced signal processing and AI techniques, this one-stop guide offers thorough, up-to-date coverage of the ...

1 The majority of disorders associated with increased risk of sudden cardiac death (SCD), such as cardiomyopathies and primary electrical diseases, are suggested by abnormal findings present on an ECG ...

Discover how heart rate variability (HRV) from ECG offers a practical, sensitive alternative to EEG for fatigue detection in ...

and a 2-lead ECG comprising exclusively leads 1 and 2) was evaluated in data from 28 patients with anasarca (AN), 28 control patients, 10 patients who had undergone hemodialysis, and 3 patients ...

By analyzing large amounts of ECG data, these models can learn to detect subtle abnormalities ... enabling the FHE system to ...

The purpose of this study was to determine the accuracy of ECG interpretation in athletes among different physician specialties, with and without use of a standised ECG criteria tool. Methods ...

this data highlights vMap’s impressive 91.1% accuracy rate in differentiating epicardial from endocardial ventricular tachycardia, outperforming traditional visual ECG analysis, which achieved ...