| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8669027 | Journal of Electrocardiology | 2017 | 9 Pages |
Abstract
Our software shows equivalent performance alongside an established predecessor and includes validated tools for performing preprocessing, signal quality, and arrhythmia detection to help provide standardization and repeatability in the field, leading to fewer errors in the presence of noise or arrhythmias.
Related Topics
Health Sciences
Medicine and Dentistry
Cardiology and Cardiovascular Medicine
Authors
Adriana N. PhD, Qiao PhD, Chengyu PhD, Shamim PhD, Amit MD, MSCR, Gari D. PhD,