Automated diagnostic method supporting EMG examination

A method of diagnosing neural-muscular diseases via Fourier spectral analysis is presented in the paper. Application of this analysis allowed for obtaining a series of spectral features. This resulted in a selection of a discriminant ensuring the best sensitivity of the new method, better than the QEMG method used in the clinical practice. Software implementation of the spectral discriminant enabled creation of a computer diagnostic tool supporting EMG examination. The method is fully automated.