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An EMG-driven musculoskeletal model of the shoulder
- Source :
- Nikooyan, A A, Veeger, H E J, Westerhoff, P, bolsterlee, B, Graichen, F, Bergmann, G & van der Helm, F C T 2012, ' An EMG-driven musculoskeletal model of the shoulder ', Human Movement Science, vol. 31, no. 2, pp. 429-447 . https://doi.org/10.1016/j.humov.2011.08.006, Human Movement Science, 31(2), 429-447. Elsevier
- Publication Year :
- 2012
- Publisher :
- Elsevier BV, 2012.
-
Abstract
- This paper aims to develop an EMG-driven model of the shoulder that can consider possible muscle co-contractions. A musculoskeletal shoulder model (the original model) is modified such that measured EMGs can be used as model-inputs (the EMG-driven model). The model is validated by using the in- vivo measured glenohumeral-joint reaction forces (GH-JRFs). Three patients carrying instrumented hemi-arthroplasty were asked to perform arm abduction and forward-flexion up to maximum possible elevation, during which motion data, EMG, and in- vivo GH-JRF were measured. The measured EMGs were normalized and together with analyzed motions served as model inputs to estimate the GH-JRF. All possible combinations of input EMGs ranging from a single signal to all EMG signals together were tested. The 'best solution' was defined as the combination of EMGs which yielded the closest match between the model and the experiments. Two types of inconsistencies between the original model and the measurements were observed including a general GH-JRF underestimation and a GH-JRF drop above 90° elevation. Both inconsistencies appeared to be related to co-contraction since inclusion of EMGs could significantly (p< .05) improve the predicted GH-JRF (up to 45%). The developed model has shown the potential to successfully take the existent muscle co-contractions of patients into account. © 2011 Elsevier B.V.
- Subjects :
- Male
Models, Anatomic
Shoulder
medicine.medical_specialty
Joint Prosthesis
Biophysics
Experimental and Cognitive Psychology
Joint prosthesis
Motor Activity
Weight-Bearing
Postoperative Complications
Physical medicine and rehabilitation
Reference Values
Isometric Contraction
Osteoarthritis
medicine
Humans
Orthopedics and Sports Medicine
Range of Motion, Articular
Muscle, Skeletal
Simulation
Aged
Mathematics
Electromyography
Shoulder Joint
Signal Processing, Computer-Assisted
SDG 10 - Reduced Inequalities
General Medicine
Co contraction
body regions
Reference values
Female
Neural Networks, Computer
Range of motion
Subjects
Details
- ISSN :
- 01679457
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- Human Movement Science
- Accession number :
- edsair.doi.dedup.....84818ff143fca06735da7b1bd7be442a
- Full Text :
- https://doi.org/10.1016/j.humov.2011.08.006