The aims of this grant project were to develop two basic ideas that were just past the proof-of-concept stage, into functional computer code to perform processing of the large raw datasets supplied by the GutTracker wireless patch system, intended to form the first steps in the future standard data analysis. The first step was a cleanup phase in which large amplitude artifacts are identified and removed from the data in such a way as to minimize effects on subsequent Fourier transform spectral analysis and alignment with absolute time. The second step provided normalization across data sets to accommodate differences in signal strength between subjects arising from variations in skin condition and body dimensions, allowing the absolute strength of motility measurements to be compared among subjects. Both aims were achieved, resulting in workable code bases that have been in routine use.