Spline function to detect zero crossing
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Hi All,
I was hoping someone might be able to help me, I am not very good with Matlab so I apologise if this is a stupid question.
I have a series of data that changes over time from being negative to positive. I would like to detect the point at which the data crosses zero. I believe the best way to do this is using a spline curve but I am not sure how to write the routine. Can anyone help me please?!
Thanks
Mel
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Star Strider
2014-3-21
Not a spline, but my answer to Fast zero-crossings with interpolation seems to work reasonably well. I can probably modify it to work with your data, but I have to know what your data are.
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Star Strider
2014-3-25
编辑:Star Strider
2014-3-25
I labeled your data as matrix V after eliminating all the ‘DIV/0!’ entries, and the last couple lines that didn’t make sense to me. I should have explained that.
I have a robust background in physiology and physiological measurement from both basic science and clinical perspectives, so I did my best to make sense of your data. Unfortunately, I couldn’t. I didn’t see any obvious relationship.
I assume VO2 is oxygen consumption, and Hb is haemoglobin, but I’m not sure what HHb and HHb.VO2 are. If HHb.VO2 is (HHb x VO2), I strongly suggest you not regress it against VO2, since it’s correlated with VO2 by the way you have defined it. The results will be meaningless.
Matt J
2014-3-24
The Curve Fitting Toolbox gives lots of different functions for fitting splines to your data
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