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42. Insight into the motor unit activation and structure properties gained from EMG signal analysis. Zalewska E Clin Neurophysiol; 2009 Mar; 120(3):449-50. PubMed ID: 19243991 [No Abstract] [Full Text] [Related]
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46. Quantitative evaluation of the motor unit potential complexity. Zalewska E; Hausmanowa-Petrusewicz I Electromyogr Clin Neurophysiol; 1991 Sep; 31(6):373-6. PubMed ID: 1935762 [TBL] [Abstract][Full Text] [Related]
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49. [Analysis of action potentials of muscles by a small general purpose computer (author's transl)]. Ridder HW; Hökendorf H; Habermehl A; Christ K EEG EMG Z Elektroenzephalogr Elektromyogr Verwandte Geb; 1977 Mar; 8(1):43-6. PubMed ID: 405200 [TBL] [Abstract][Full Text] [Related]
50. Quantitative analysis of individual motor unit potentials: a proposition for standardized terminology and criteria for measurement. Stålberg E; Andreassen S; Falck B; Lang H; Rosenfalck A; Trojaborg W J Clin Neurophysiol; 1986 Oct; 3(4):313-48. PubMed ID: 3332279 [TBL] [Abstract][Full Text] [Related]
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56. The effect of electromyographic jitter on single motor unit EMG potentials. Boyd DC; Lawrence PD; Bratty PJ IEEE Trans Biomed Eng; 1979 Aug; 26(8):471-8. PubMed ID: 468293 [No Abstract] [Full Text] [Related]
57. Artificial neural nets in computer-aided macro motor unit potential classification. Schizas CN; Pattichis CS; Schofield IS; Fawcett PR; Middleton LT IEEE Eng Med Biol Mag; 1990; 9(3):31-8. PubMed ID: 18238344 [TBL] [Abstract][Full Text] [Related]
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59. Computer-aided extraction of the features of the EMG of single motor units. Laouris Y; Reinking RM; Stuart DG Brain Res Bull; 1991 Jun; 26(6):997-1002. PubMed ID: 1933419 [TBL] [Abstract][Full Text] [Related]