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Programs for rule based electromyography (EMG) interpretation and reporting are described. A number of parameters are obtained during an EMG investigation. The combination of these data leads to a neurophysiological conclusion. Knowledge from the literature, research and experience is the basis for rule development. Rules have been developed for 14 of the most commonly used classifications of an EMG. The syntax is relatively easy and the user may change the rules, add rules or apply the system for other types of data. The results are displayed in a new graphical way. The system presented here is part of an integrated EMG laboratory with administrative routines, distributed databases for storage of results and routines for automatic report generation.
E Stålberg, and
S Stålberg, and
M Melander, and
K Arimura
December 1988,
AJR. American journal of roentgenology,
E Stålberg, and
S Stålberg, and
M Melander, and
K Arimura
February 1992,
Nihon Igaku Hoshasen Gakkai zasshi. Nippon acta radiologica,
E Stålberg, and
S Stålberg, and
M Melander, and
K Arimura
January 1987,
Catheterization and cardiovascular diagnosis,
E Stålberg, and
S Stålberg, and
M Melander, and
K Arimura
May 1984,
Medical & biological engineering & computing,
E Stålberg, and
S Stålberg, and
M Melander, and
K Arimura
January 1989,
Medical informatics = Medecine et informatique,
E Stålberg, and
S Stålberg, and
M Melander, and
K Arimura
March 1978,
American journal of clinical pathology,
E Stålberg, and
S Stålberg, and
M Melander, and
K Arimura
April 1987,
Cryobiology,
E Stålberg, and
S Stålberg, and
M Melander, and
K Arimura
January 1994,
Eye (London, England),
E Stålberg, and
S Stålberg, and
M Melander, and
K Arimura
August 1999,
The Tohoku journal of experimental medicine,
E Stålberg, and
S Stålberg, and
M Melander, and
K Arimura
October 1991,
Indian journal of pathology & microbiology,
