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4. [Automatic analysis of needle EMG in the differential diagnosis of neuromuscular diseases]. Babkin PS; Gekht BM; Polukazakov SN; Fedotov VP Zh Nevropatol Psikhiatr Im S S Korsakova; 1986; 86(11):1623-8. PubMed ID: 3811721 [TBL] [Abstract][Full Text] [Related]
5. [Analysis of motor unit potential parameters, their clinical importance and the direction of research in this field]. Bruyninckx F; Chu J Acta Belg Med Phys; 1985 Oct; 8 Spec No():13-9. PubMed ID: 2934921 [No Abstract] [Full Text] [Related]
6. Use of monopolar electrodes in automatic EMG analysis with ANOPS computer. Middleton L; Lovelace RE Electromyogr Clin Neurophysiol; 1985; 25(7-8):539-48. PubMed ID: 4092664 [No Abstract] [Full Text] [Related]
7. Diagnostic value of automatic electromyographic analysis in the assessment of degree of damage in neuropathy. Kopeć J; Rakowicz M Electromyogr Clin Neurophysiol; 1986; 26(7):541-53. PubMed ID: 3028761 [No Abstract] [Full Text] [Related]
8. Application of automatic analysis of electromyogram in clinical practice. Hausmanowa-Petrusewicz I; Kopec J Riv Patol Nerv Ment; 1978; 99(2):65-74. PubMed ID: 752902 [No Abstract] [Full Text] [Related]
9. A new framework and computer program for quantitative EMG signal analysis. Gerber A; Studer RM; de Figueiredo RJ; Moschytz GS IEEE Trans Biomed Eng; 1984 Dec; 31(12):857-63. PubMed ID: 6549305 [No Abstract] [Full Text] [Related]
10. [Automatic analysis of the action potential by Willison's method: preliminary results]. Serra C; Baculo G Acta Neurol (Napoli); 1974; 29(6):698-705. PubMed ID: 4470325 [No Abstract] [Full Text] [Related]
11. Computer analysis of the shape of spike from electromyographic interference pattern. Magora A; Gonen B Electromyography; 1970; 10(3):261-71. PubMed ID: 5509971 [No Abstract] [Full Text] [Related]
12. Electromyography: when to consider it and what to expect from it. See DH Med Times; 1980 Dec; 108(12):52 1s-5s, 52 8s-12s. PubMed ID: 7442495 [No Abstract] [Full Text] [Related]
13. [Use of a method of automatic analysis of the electromyographic examination]. Moglia A; Arrigo A; Cinquini G; Taglietti V Riv Neurol; 1978; 48(5):492-7. PubMed ID: 746304 [No Abstract] [Full Text] [Related]
14. [Electromyography as a diagnostic tool in neuromuscular disorders (author's transl)]. Ludin HP Ther Umsch; 1980 Oct; 37(10):869-71. PubMed ID: 7455950 [No Abstract] [Full Text] [Related]
15. [Computer analysis of the EMG and clinical results]. Kopec J; Hausmanowa-Petrusewicz I EEG EMG Z Elektroenzephalogr Elektromyogr Verwandte Geb; 1983 Mar; 14(1):28-35. PubMed ID: 6305628 [TBL] [Abstract][Full Text] [Related]
16. The analysis of single EMG potentials by means of multivariate methods. Blinowska KJ; Hausmanowa-Petrusewicz I; Miller-Larsson A; Zachara J Electromyogr Clin Neurophysiol; 1980; 20(2):105-23. PubMed ID: 7379735 [No Abstract] [Full Text] [Related]
17. Diagnostic yield of an automated method of quantitative electromyography. Kopec J; Hausmanowa-Petrusewicz I Electromyogr Clin Neurophysiol; 1985; 25(7-8):567-77. PubMed ID: 4092667 [No Abstract] [Full Text] [Related]
18. [Fundamental electrophysiological parameters in the diagnosis of partial dysneuropathy and automatic measurement methods]. Pinelli P Riv Neurol; 1974; 44(3):174-80. PubMed ID: 4428122 [No Abstract] [Full Text] [Related]
19. Computer analysis of the relation between duration and degree of superposition of electromyographic spikes. Magora A; Gonen B Electromyogr Clin Neurophysiol; 1977; 17(2):83-98. PubMed ID: 880930 [No Abstract] [Full Text] [Related]
20. Analysis of interference patterns with Willison's method. Clinical uses, effect of load, dynamic studies. Hayward M Electromyogr Clin Neurophysiol; 1985; 25(7-8):553-6. PubMed ID: 4092665 [No Abstract] [Full Text] [Related] [Next] [New Search]