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--- computehrv [2010/06/21 21:02] – created jochen
+++ computehrv [2010/06/21 22:16] – again... jochen
@@ Line 2: / Line 2: @@
 ===== Motivation =====
-Both heart beat onsets (R wave time points) as well as sliding beats-per-minute, (BPM) are already interesting measures, both most publications refer to summarizes measures when GCR data reported. One of the most common of these is heart-rate variability (HRV). This function computes the power spectral contribution of frequencies in two specified ranges.
+Both heart beat onsets (R wave time points) as well as sliding beats-per-minute (BPM) are already interesting measures, but most publications refer to summary measures when GCR data reported. One of the most common of these is heart-rate variability (HRV). This function computes the power spectral contribution of frequencies in two specified ranges.
 ===== Requirements =====
@@ Line 175: / Line 175: @@
 % compute relative power contribution HFP/LFP
 rel_pow_HoverL = hrv.hfp / hrv.lfp;</code>
+The following screenshot was taken during this example (while the second call to heartbeats is being executed):
+{{:neuroelf_heartbeats_doublewindow.png|heartbeats with overview on top}}
+**Note: if the function (heartbeats) is called twice with plotting enabled, the result of the overview of the first call will be re-positioned so that it can be easily used as input to the second pass.**