Name: EVAL_ST Tool
Published: Sept. 17, 2004
License: https://opendatacommons.org/licenses/by/index.html

Software Open Access

Published: Sept. 17, 2004. Version: 1.0.0

Software for evaluating ST analyzers (Sept. 17, 2004, midnight)

Software for evaluating ST analyzers has been contributed to PhysioNet by its authors, Franc Jager and Aleš Smrdel of the Laboratory of Biomedical Computer Systems and Imaging at the University of Ljubljana (Slovenia).

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.

APA	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.
MLA	Goldberger, A., et al. "PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220." (2000).
CHICAGO	Goldberger, A., L. Amaral, L. Glass, J. Hausdorff, P. C. Ivanov, R. Mark, J. E. Mietus, G. B. Moody, C. K. Peng, and H. E. Stanley. "PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220." (2000).
HARVARD	Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P.C., Mark, R., Mietus, J.E., Moody, G.B., Peng, C.K. and 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.
VANCOUVER	Goldberger A, Amaral L, Glass L, Hausdorff J, Ivanov PC, Mark R, Mietus JE, Moody GB, Peng CK, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.

Software Description

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.

Access

Access Policy:
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

Discovery

DOI:
https://doi.org/10.13026/C2495B

Topics:
arrhythmia

Corresponding Author

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Files

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/

Folder Navigation:

Name	Size	Modified
Parent Directory
bin
esc
esc_alg01
esc_alg02
ltsta
ltsta_alg02
ltstb
ltstb_alg01
ltstb_alg02
ltstc
ltstc_alg02
man
src
00README (download)	28.0 KB	2019-04-12
esc_alg01.evl (download)	1.4 KB	2019-04-12
esc_alg02.evl (download)	1.4 KB	2019-04-12
ltsta_alg02.evl (download)	1.6 KB	2019-04-12
ltstb_alg01.evl (download)	1.6 KB	2019-04-12
ltstb_alg02.evl (download)	1.6 KB	2019-04-12
ltstc_alg02.evl (download)	1.6 KB	2019-04-12

EVAL_ST Tool

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