title: Automated diagnostic method supporting EMG examination.
abstract: 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.
authors.affiliation: Military University of Technology, 2 Kaliskiego St., 00-908 Warsaw, Poland.
authors.forename: Piotr
authors.initials: P
authors.lastname: Komur
authors.forename: Andrzej P
authors.initials: AP
authors.lastname: Dobrowolski
authors.forename: Tadeusz
authors.initials: T
authors.lastname: Dabrowski
authors.forename: Kazimierz
authors.initials: K
authors.lastname: Tomczykiewicz
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001185:Artificial Intelligence; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004576:Electromyography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009468:Neuromuscular Diseases / Q000175:diagnosis*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D055815:Young Adult