Software Open Access
Published: Sept. 17, 2004. Version: 1.0.0
Please include the standard citation for PhysioNet:
(show more options)
Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.
The EVAL_ST tool is an open source tool to evaluate and compare performance and robustness of ST episode detection algorithms. The tool supports all standard and other relevant performance measures, aggregate gross and average statistics, and bootstrap statistical procedure to predict real-world clinical performance. The tool (written in C) is compilable an a wide variety of platforms and contains an additional graphic user interface module (LessTif/Motif environment) for use on the LINUX/UNIX operating systems.
Anyone can access the files, as long as they conform to the terms of the specified license.
License (for files):
Open Data Commons Attribution License v1.0
Total uncompressed size: 10.0 MB.
Access the files
- Download the files using your terminal:
wget -r -N -c -np https://physionet.org/files/eval-st/1.0.0/
|00README (download)||28.0 KB||2019-04-12|
|EVAL_ST.tar.gz (download)||1.1 MB||2019-04-12|
|EVAL_ST.tar.zip (download)||1.1 MB||2019-04-12|