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Biomedical subjects

S Stålberg

Publications and source records attributed to S Stålberg.

4 recordsLinked to original sources

Multi-MUP EMG analysis--a two year experience in daily clinical work.

A new quantitative motor unit potential (MUP) analysis method, called multi-MUP analysis, is described. Multi-MUP analysis is a type of decomposition analysis of the EMG signal. At each site 6 different MUPs may be recorded during an epoch of 4.8 sec. Calculation time is about 3 sec. A study of 20-30 MUPs including editing takes 4-8 min. Compared to many earlier MUP analysis methods it is faster and more user friendly, therefore it can be used in daily routine EMG analysis. The accuracy and reliability of the method are good. The differences from methods based on manual analysis, spike triggered averaging, template matching and decomposition are discussed. The main advantages of multi-MUP analysis are: (1) quick acquisition of many MUPs; (2) simultaneous collection of several MUPs at one recording site; (3) possibility to analyze not only low threshold MUPs; (4) less bias in the selection of MUPs; and (5) the reproducibility of the results that allow the same reference values to be used in different laboratories. So far we have successfully used this method for 2 years on more than 2000 patients.

Electromyography

Automatic analysis of the EMG interference pattern.

A method is described for the automatic analysis of EMG interference patterns obtained at optional non-controlled force levels. It is a modification of Willison's method of measuring turns and amplitude of the signal. In the method, the mean amplitude is plotted against turns obtained during 300 msec for each of 20 recording sites. Different voluntary strengths are used and a scatter of points is obtained. Confidence limits enclosing these points are constructed for healthy subjects for 4 different muscles with concentric and monopolar electrodes. The normal values differ with age, muscle, sex and electrode. The method is tested on patients with myopathic or neurogenic EMG and a high diagnostic yield is obtained. The method is objective, reproducible, fast and needs relatively small computer facilities.

Adolescent

A personal computer based system used in electromyography for interpretation and reporting.

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.

Computer Graphics