Multichannel Systems MC_Rack Manual - Manual (Page 159)

MC_Rack Features
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4.14.2 Time-Interval Based Analyzer
Extracted Parameters
The following parameters can be extracted with the Analyzer from the described data streams.
Analyzer input stream Parameter
Raw Data Spikes
t-Min Point of time when minimum occurs,
relative to trigger event (to start of
recording if no trigger is present)
t-Max Point of time when maximum occurs,
relative to trigger event (to start of
recording if no trigger is present)
Minimum Lowest value in time window (minimum)*
Maximum Highest value in time window (maximum)*
Peak-
Peak-
Ampl. Amplitude, maximum minus minimum Amplitude, maximum minus
minimum of largest spike in time
window
Amplitude
(Mean) Mean value of all data points in time
window
Slope Slope of linear fit regression line
(Least Square Algorithm): A straight
line is fitted through the data points
in the region of interest. The slope of
the straight line is then extracted.
Slope
10 % /
90 % Slope of linear fit regression line (Least
Square Algorithm) of 10 % / 90 % (or
20 / 80 or 30 / 70) interval, see below.
Number Number of spikes in time window
Rate** Number of spikes in time window
per second (in Hz)
* If there are no spike events in the time window, the Analyzer will extract an invalid value
(outside the voltage range) as minimum or maximum. The Analyzer cannot extract 0 in this case,
as 0 can be a valid value for the minimum or maximum, and would thus be misleading.
** Evaluating an event rate in discrete time bins is useful, for example, for analyzing the
signal distribution. Often, a continuous analysis of an event rate is more useful, for example,
for monitoring the beating rhythm of a cardiac application. For these purposes, use the event-
based Spike Analyzer.