First of all, I'm sorry for my bad English writing, plus, I'm new to DSP.
We have got motion data of 20 cows. 10 cows are healthy and 10 cows are slightly lame.
Lameness is an abnormal gait or stance of an animal that is the result of dysfunction of the locomotor system... Wikipedia
It is expected to observe a significant difference in locomotion data, recorded from these 20 cows. Data has been collected using an electronic sensor consist of Angular velocity ($\omega: rad/s$) and Linear acceleration ($a: m/s^2$). As it was expected, data is periodic:
Each period, represents a step of cow.
I want to perform a comparison between these two group of data to find out the significant difference between lame and non-lame cows. My question is what is/are choice approach(es) to perform this comparison? Is there a standard test to choose the approach according to the signal data?
My best hypotheses:
- Maybe some of primary data properties be useful. (e.g average, standard deviation, extremums, etc.)
- Try to use Fourier transform of data. But I have no idea about this one. (Please guide me if it's possible).
- Try to use derivative or integral of time series. For example, maybe the Angular acceleration ($\alpha: rad/s^2$) is preferable.
Thanks in advance.
These are some other plots: