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Analysis Help
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This selection allows you to regenerate a trace signal as a waveform, based on the sweeps of data stored in frames. This waveform can then be used for certain analyses based on waveforms. The current run file must contain frames for this operation to work.

You are first asked for the trace number for the trace to be converted. If this trace has no points, the operation will end.

You are then asked whether to include deleted frames. Unless you have a good reason not to include them, they should probably be included. The program will interpolate missing data between frames that are included.

If the current run file contains averaged data, and no waveforms exist in this run, then the program can reset the run length to the correct value for the waveform that will be generated. This waveform will be the concatenation of all frames from first to last, with no intervening gaps. Depending on the averaging method used, this may be a sensible approach, or it may not. You'll have to be the judge. The program will ask if it's OK to change the run length. If you answer "No", or if it can't change the length because waveforms already exist, then it will pad or truncate the waveform it generates to match the current run length.

You are then asked for the number of the new waveform to be created. If this waveform already exists, it is erased. The program then generates the trace signal on this waveform, at the sampling rate at which the trace was captured. For raw trace data, it will create the missing parts between captured sweeps by interpolating from the last point of one sweep to the first point of the next sweep. Before the first sweep, it will create a straight line at the level of the first point, and similarly at the end of the last sweep, it will extend a line from the last sample to the end of the run. (This is also how it will pad averaged data, if it has to.)

The calibration information, and all other information in the run header associated with the selected trace, is duplicated for the new waveform.

 


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Copyright © 2017 G. R. Detillieux, Spinal Cord Research Centre, The University of Manitoba.