[med-svn] [SCM] aghermann branch, master, updated. 4f7a3b774136ffffbaf9b05d90bd568347bc5461

[andrei zavada]

The following commit has been merged in the master branch:
commit 8d2018e140eca617e2950e1c14ee752406eba571
Author: andrei zavada <johnhommer at gmail.com>
Date:   Wed Oct 31 20:28:56 2012 +0200

    touchup in doc/org

diff --git a/doc/org/usage.org b/doc/org/usage.org
index 044f2ca..21125d7 100644
--- a/doc/org/usage.org
+++ b/doc/org/usage.org
@@ -17,12 +17,12 @@
 #+end_example
 
    Secondly, make sure the recording times stored in the edf files are
-   actual and correct as Aghermann will not take guesses if this
+   *actual and correct* as Aghermann will not take guesses if this
    information is missing or incorrect.
 
-   Once your directory tree is set up, start Aghermann, go to
-   experiment selector and point it to the newly created experiment
-   tree root directory.
+   Once your directory tree is set up, start Aghermann, go to session
+   chooser (by closing the default, empty experiment) and point it to
+   the newly created experiment tree root directory.
 
    Alternatively, you can drag-and-drop edf files and assign them
    individually to groups/sessions.
@@ -58,6 +58,11 @@
    and sub-fields of the `PatientID' field) are not supported.
 
 
+* Measurements Overview
+
+  All properly placed recordings will appear on the =1. Measurements=
+  tab. 
+
 * Displaying individual episode channel signals and scoring
 
 ** Opening an episode in the Scoring Facility
@@ -140,10 +145,15 @@
    | Upper threshold               | Mark period as a hi-freq artifact if /SS/-/SU/[p] > /E/ + /E/ times this value                                |
    | Lower threshold               | Mark period as a lo-freq artifact if /SS/-/SU/[p] < /E/ + /E/ times this value (see pp 1190-1 of cited paper) |
 
+   Once you have tuned these parameters to your satisfaction, you can
+   save them as a named profile, and subsequently apply AD globally
+   to all your recordings.
+
 
 * Refining EEG further with ICA
 
-  You can also try to isolate/distill EEG signals with ICA; for
+  You can also try to isolate/distill EEG signals with *Independent
+  Component Analysis* (ICA); for
   explanation of the many options to control ICA process, please
   refer to the authors of the original software (there are handy
   links right next to the Separate button).

-- 
Sleep experiment manager