Quantifizierung des Crosstalk-Anteils in Oberflächen-Elektromyogrammen

Muscular co-ordination – the interaction of single muscles or groups of muscles under temporal criteria – represents the basis of each actively implemented movement. If the normal muscular co-ordination pattern that is necessary for the execution of a certain movement task is disturbed by pathologies, then this leads to restrictions in the personal freedom of movement, which is felt as a crucial loss of quality of life by the affected person. The clinical diagnosis of the causal dysfunctions of the muscular activation is carried out today by a physician and his visual interpretation of the derived bipolar surface EMG signals. Regarding the derived EMG signals, however, it is not possible to surely differentiate between actual muscular activity and a muscular coordination pattern falsified by the frequently occurring crosstalk phenomenon evoked by neighbouring muscles in the vicinity of the muscles of interest. For this reason the significance of the applied procedure is often not sufficient for a clinical application. Topic of the presented thesis is therefore the development of a methodology for the quantification of the crosstalk ratio in conventionally derived surface electromyograms. First a concept which is based on field-theoretical aspects is compiled. Subsequently, signal processing procedures are developed and the single steps required for signal recording, signal processing and signal interpretation are implemented. These include the recording of the electromyogram by a suitably designed measurement chain, the signal processing by numerous communications-engineering procedures for parameter extraction as well as the signal interpretation by means of adequately developed algorithms utilising expert knowledge in the context of fuzzy methods. The developed methodology is first validated theoretically by an appropriate model, because the effects that occur during the derivation of surface electromyograms are separatable only by modelling and a reversibly unique conclusion from field distribution to its sources and drains, even when using apriori information, is neither spatially nor temporally possible. For the purpose of the theoretical validation an appropriate model is compiled. In a next step the developed methodology is validated utilising the implemented model. Finally a clinical validation is accomplished on the basis of actual measurements performed with healthy as well as affected subjects. By this means the efficiency of the developed methodology is demonstrated and its practical medical usefulness is documented in the clinical sample applications selected.

Grantor dc:publisher

Publikationsserver der RWTH Aachen University

Year dc:date

2006

Author dc:creator

• Meinecke, Lars

Contributors dc:contributor

• Rau, Günter

• info:eu-repo/classification/ddc/620
• Elektromyographie
• Bewegungsanalyse
• Bewegungsanalyse <Technik>
• Bewegungskoordination
• Nichtinvasive Diagnostik
• Diagnostik
• Motodiagnostik
• Ingenieurwissenschaften
• Skelettmuskulatur
• Skelettmuskel
• Muskelkrankheit
• Fuzzy-Logik
• electromyographie
• diagnosis
• myopathy
• non-invasive
• fuzzy logic

Statement dc:rights

• info:eu-repo/semantics/openAccess

Language dc:language

ger

Identifier

https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-114856%22

OAI record oai:identifier

https://publications.rwth-aachen.de/oai2d?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Apublications.rwth-aachen.de%3A52648