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4. 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]
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. The amplitude of spike in the interpretation of electromyographic recordings. Magora A; Gonen B Electromyogr Clin Neurophysiol; 1975; 15(4):377-96. PubMed ID: 1104347 [No Abstract] [Full Text] [Related]
7. Interscale wavelet maximum-a fine to coarse algorithm for wavelet analysis of the EMG interference pattern. Arikidis NS; Abel EW; Forster A IEEE Trans Biomed Eng; 2002 Apr; 49(4):337-44. PubMed ID: 11942725 [TBL] [Abstract][Full Text] [Related]
8. [Electromyography in myopathies]. Finsterer J; Muellbacher W; Mamoli B Wien Med Wochenschr; 1998; 148(1-2):25-9. PubMed ID: 9642761 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. [Clinico-electromyographic analysis of atypical forms of chronic progressive motor neuron diseases]. Gekht BM; Kevish AV Zh Nevropatol Psikhiatr Im S S Korsakova; 1982; 82(3):25-31. PubMed ID: 7080772 [No Abstract] [Full Text] [Related]
11. [Evaluation of defects following idiopathic peripheral facial paresis with special reference to electromyographic findings]. Reichel G; Stahl J; Mühlau G Psychiatr Neurol Med Psychol (Leipz); 1972 Mar; 24(3):145-52. PubMed ID: 5034935 [No Abstract] [Full Text] [Related]
12. 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]
13. A review of the methods of automatic analysis in clinical electromyography. Boyd DC; Bratty PJ; Lawrence PD Comput Biol Med; 1976 Jul; 6(3):179-90. PubMed ID: 786540 [No Abstract] [Full Text] [Related]
14. [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]
15. 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]
16. [Electromyography using needle electrodes to analyze the structure and functional state of motor units in neuromuscular diseases]. Gekht BM; Kasatkina LF; Kevish AV Zh Nevropatol Psikhiatr Im S S Korsakova; 1980; 80(6):822-9. PubMed ID: 7415703 [TBL] [Abstract][Full Text] [Related]
17. [Specificity of electromyographic findings in anterior horn processes]. Vogel P; Tackmann W Nervenarzt; 1984 Jun; 55(6):279-84. PubMed ID: 6087173 [No Abstract] [Full Text] [Related]
18. [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]
19. 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]
20. 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] [Next] [New Search]