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Whether or not you worry about peaks depends on what information you
want to extract from the data. Also, which factors are considered more
"basic" than others matters (eg. in a gait analysis, the only TRUE
independent variable is time, but percentage of cycle is the simplest
variable that can be used to put subjects on an equivalent scale).
It may be that for some analyses, the peaks are more critical than
percentage of cycle, in which case the time scale can be transformed
using a peak-to-peak method (if all subjects have the same set of peaks,
treat each gap between peaks as a cycle in itself).
want to extract from the data. Also, which factors are considered more
"basic" than others matters (eg. in a gait analysis, the only TRUE
independent variable is time, but percentage of cycle is the simplest
variable that can be used to put subjects on an equivalent scale).
It may be that for some analyses, the peaks are more critical than
percentage of cycle, in which case the time scale can be transformed
using a peak-to-peak method (if all subjects have the same set of peaks,
treat each gap between peaks as a cycle in itself).