The eval_st Tool

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.

Icon  Name                    Last modified      Size  Description
[DIR] Parent Directory - [   ] 00README 09-Dec-2004 03:00 28K [   ] EVAL_ST.tar.gz 09-Dec-2004 03:01 1.1M gzip-compressed tar archive [   ] EVAL_ST.tar.zip 09-Dec-2004 09:59 1.1M [DIR] EVAL_ST/ 26-Sep-2004 15:10 -

Questions and Comments

If you would like help understanding, using, or downloading content, please see our Frequently Asked Questions.

If you have any comments, feedback, or particular questions regarding this page, please send them to the webmaster.

Comments and issues can also be raised on PhysioNet's GitHub page.

Updated Friday, 28 October 2016 at 16:58 EDT

PhysioNet is supported by the National Institute of General Medical Sciences (NIGMS) and the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number 2R01GM104987-09.