The Application of Pattern Recognition Techniques to the Contingent Negative Variation for the Differentiation of Subject Categories

Pattern recognition techniques and the statistics of directional data have been applied to a repetitive waveform to differentiate between subject categories. Normal subjects and Huntington´s Chorea patients were distinguished by comparing the patterns in the summarized results of statistical tests applied to the Fourier harmonics of their contingent negative variation (CNV) responses, by the consecutive phase angle variations of the first harmonic of their CNV´s, and by their different averaged CNV´s. A logic algorithm which may provide the basis of computerized diagnosis, or even prediction of the condition, is described.