Removal of artifact values and outliers

I am a researcher behavioral learning just Labview. I just bought the full professional development program after using the express signal and a DAQ card for 2 years. I now have hundreds of collected files I want to automate the process to create a program to deal with the new collections of data. I was able to create some of the steps but am really difficulty out bad data first. I tried many examples found on the forums and in the books - but my inexperience showed. I hope someone can help me past this stage (and if you have suggestions for future steps, so much the better!).

My signal comes from an actocardiograph machine that records two signals on the same time scale: fetal heart rate in beats per minute (in general 100-190 BPM) so no wave QRS, just a measure doppler signal not electric) and a second signal of activity in arbitrary units (0-100). Movement is present throughout the recording of the heart rate signal. I need to remove the artifact and interpolate if possible.  I can't get one of the screws to process the signal for this - and I think its because I don't know who agrees to use or how to configure correctly. There are also cases of artifact I need to remove it completely following the intervention of my ultrasound that is in this range, but clearly a pattern of a stable bpms 146-148.

Suggestions or examples of exactly HOW to use screws such as the removal of outliers (for example how to specify the upper and lower part go to the values Y of 100 to 190) or Wavelet would be GREATLY appreciated!


Tags: NI Software

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