Printing documentation for the Long-Term ST Database under Linux or Unix
Documentation for the Long-Term ST Database can be produced under Linux or Unix using the software in this directory. (Sorry, this software has not been ported to any other operating system; if you do so successfully, please let us know.)
- Download, compile, and install the WFDB software package if you don't have it already. To do so, follow the instructions here.
- Download, compile, and install plt (unless you already have
a version dated October 2000 or later). To do so:
- Download plt.tar.gz.
- Unpack it:
tar xfvz plt.tar.gz
- (As root) compile and install it:
cd plt make install
- Download, compile, and install the LTSTDB documentation software:
- Download doc.tar.gz.
- Unpack it:
tar xfvz doc.tar.gz
- (As root) compile and install it:
cd doc make install
- Install enscript if you haven't done so already, or change the value of TEXTPRINT in /usr/local/bin/makestplots[-a4] to match the name and options of whatever you use for printing text from the standard input. You can find enscript for Linux by searching for it on rpmfind.net, but it's standard with most Linux distributions.
- Try it out:
- If you have not enabled NETFILES support for the WFDB library, download the *.sta and *.16a annotation files, and the *.hea header files, and save them in the current directory. If NETFILES support is enabled, this step is optional (if you skip it, the software will access the copies of the necessary files directly on the PhysioNet master server).
- Make a set of plots:
makestplots-a4 s20011
(This will produce plots sized for A4 paper. makestplots produces plots sized for US letter-size paper. Replace s20011 with the name of any other record as you wish.)
Explanation of the symbols on the plots
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 Thursday, 09-Jul-2015 17:24:26 CEST |
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.
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