Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4964813 | Computers in Biology and Medicine | 2017 | 6 Pages |
Abstract
We propose a novel method for identifying QRS complexes that outperforms common currently available tools for non-stationary ECG data in infants. For stationary ECG our proposed approach and the PT approach perform equally well. The ECG acquired in a clinical environment may be prone to issues related to non-stationarity, especially in critically ill patients. The approach proposed in this report offers superior reliability in these scenarios.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
S. Kota, C.B. Swisher, T. Al-Shargabi, N. Andescavage, A. du Plessis, R.B. Govindan,