EMG-Based Validation of Musculoskeletal Models Considering Crosstalk

  • BACKGROUND: Validation and verification of multibody musculoskeletal models sEMG is a difficult process because of the reliability of sEMG data and the complex relationship of muscle force and sEMG. OBJECTIVE: This work aims at comparing experimentally recorded and simulated muscle activities considering a numerical model for crosstalk. METHODS: For providing an experimentally derived reference data set, subjects were performing elevations of the arm, where the activities of the contemplated muscle groups were measured by sEMG sensors. Computed muscle activities were further processed and transformed into an artificial electromyographical signal, which includes a numerical crosstalk model. In order to determine whether the crosstalk model provides a better agreement with the measured muscle activities, the Pearson correlation coefficient has been computed as a qualitative way of assessing the curve progression of the data sets. RESULTS: The results show an improvement in the correlation coefficient between the experimental data and the simulated muscle activities when taking crosstalk into account. CONCLUSIONS: Although the correlation coefficient increased when the crosstalk model was utilized, it is questionable if the discretization of both, the crosstalk and the musculoskeletal model, is accurate enough.

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Metadaten
Author:Dominik Jungtäubl, Maximilian Aurbach, Maximilian MelznerORCiD, Jan Spicka, Franz Süß, Sebastian DendorferORCiD
DOI:https://doi.org/10.1109/BIOMDLORE.2018.8467211
Parent Title (English):International Conference BIOMDLORE, June 28 –30 2018, Białystok, Poland
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2018
Release Date:2021/01/09
Tag:crosstalk; musculoskeletal modeling; surface electromyography; validation
Institutes:Fakultät Maschinenbau
Regensburg Center of Biomedical Engineering - RCBE
Labor Biomechanik - LBM
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit