Normative ranges by curve fitting to raw data

Abstract

This study proposes a technique for finding the frequency distributions (FDs) of the median motor distal latencies (MMDL) of healthy and of disease subjects by mathematically analyzing the combined frequency distribution (CFD) of all the subjects that were recorded in an EMG Lab, from the numbers themselves, without any reference to clinical data. The CFD is the algebraic summation of the healthy-group FD and the disease-group FD. Although it is impossible to visually detect these FDs within the CFD numerical values or graphic representation, the hypothesis is that it can be done analytically. Three analytical ways were tested and showed satisfactory results. Also, this study shows the statistics of the overlap between health and disease, i.e. the prediction value of each MMDL, statistics that are of utmost importance, and can not be generated in any other way.