Which data should be tracked in forward-dynamic optimisation to best predict muscle forces in a pathological co-contraction case?
The choice of the cost-function for predicting muscle forces during a movement remains a challenge, especially in patients with neuromuscular disorders. Forward dynamics-based optimisations mainly track joint kinematics or torques, combined with a least-excitation criterion. Tracking marker trajecto...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
4 January 2018
|
| In: |
Journal of biomechanics
Year: 2018, Jahrgang: 68, Pages: 99-106 |
| ISSN: | 1873-2380 |
| DOI: | 10.1016/j.jbiomech.2017.12.028 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.jbiomech.2017.12.028 Verlag, lizenzpflichtig, Volltext: http://www.sciencedirect.com/science/article/pii/S0021929017307418 
|
| Verfasserangaben: | Colombe Bélaise, Benjamin Michaud, Fabien Dal Maso, Katja Mombaur, Mickaël Begon |
MARC
| LEADER | 00000caa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1692237179 | ||
| 003 | DE-627 | ||
| 005 | 20220818011542.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 200311s2018 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.jbiomech.2017.12.028 |2 doi | |
| 035 | |a (DE-627)1692237179 | ||
| 035 | |a (DE-599)KXP1692237179 | ||
| 035 | |a (OCoLC)1341309664 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 28 |2 sdnb | ||
| 100 | 1 | |a Bélaise, Colombe |e VerfasserIn |0 (DE-588)1206255072 |0 (DE-627)1692236830 |4 aut | |
| 245 | 1 | 0 | |a Which data should be tracked in forward-dynamic optimisation to best predict muscle forces in a pathological co-contraction case? |c Colombe Bélaise, Benjamin Michaud, Fabien Dal Maso, Katja Mombaur, Mickaël Begon |
| 264 | 1 | |c 4 January 2018 | |
| 300 | |a 8 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Gesehen am 11.03.2020 | ||
| 520 | |a The choice of the cost-function for predicting muscle forces during a movement remains a challenge, especially in patients with neuromuscular disorders. Forward dynamics-based optimisations mainly track joint kinematics or torques, combined with a least-excitation criterion. Tracking marker trajectories and/or electromyography (EMG) has rarely been proposed. Our objective was to determine the best tracking objective-function to accurately predict the upper-limb muscle forces. A musculoskeletal model was created and EMG was simulated to obtain a reference movement - a shoulder abduction. A Gaussian noise (mean=0; standard deviation=15%) was added to the simulated EMG. Another noise - corresponding to the actual soft tissue artefacts (STA) of experimental shoulder abduction movements - was added to the trajectories of the markers placed on the model. Muscle forces were estimated from these noisy data, using forward dynamics assisted by six non-linear least-squared objective-functions. These functions involved the tracking of marker trajectories, joint angles or torques, with and without EMG-tracking. All six approaches used the same musculoskeletal model and were solved using a direct multiple shooting algorithm. Finally, the predicted joint angles, muscle forces and activations were compared to the reference values, using root-mean-square errors (RMSe) and biases. The force RMSe of the approach tracking both marker trajectories and EMG (18.45±12.60N) was almost five times lower than the one of the approach tracking only joint angles (82.37±66.26N) or torques (85.10±116.40N). Therefore, using EMG as a complementary tracking-data in forward dynamics seems to be promising for the estimation of muscle forces. | ||
| 650 | 4 | |a Direct multiple shooting | |
| 650 | 4 | |a Electromyography | |
| 650 | 4 | |a Forward dynamics | |
| 650 | 4 | |a Muscle forces | |
| 650 | 4 | |a Musculoskeletal model | |
| 700 | 1 | |a Mombaur, Katja |e VerfasserIn |0 (DE-588)1031167269 |0 (DE-627)735773769 |0 (DE-576)182041840 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Journal of biomechanics |d Amsterdam [u.a.] : Elsevier Science, 1968 |g 68(2018), Seite 99-106 |h Online-Ressource |w (DE-627)306587947 |w (DE-600)1498351-5 |w (DE-576)081953054 |x 1873-2380 |7 nnas |a Which data should be tracked in forward-dynamic optimisation to best predict muscle forces in a pathological co-contraction case? |
| 773 | 1 | 8 | |g volume:68 |g year:2018 |g pages:99-106 |g extent:8 |a Which data should be tracked in forward-dynamic optimisation to best predict muscle forces in a pathological co-contraction case? |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.jbiomech.2017.12.028 |x Verlag |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 856 | 4 | 0 | |u http://www.sciencedirect.com/science/article/pii/S0021929017307418 |x Verlag |z lizenzpflichtig |3 Volltext |
| 951 | |a AR | ||
| 992 | |a 20200311 | ||
| 993 | |a Article | ||
| 994 | |a 2018 | ||
| 998 | |g 1031167269 |a Mombaur, Katja |m 1031167269:Mombaur, Katja |d 700000 |d 720000 |e 700000PM1031167269 |e 720000PM1031167269 |k 0/700000/ |k 1/700000/720000/ |p 4 | ||
| 999 | |a KXP-PPN1692237179 |e 3606221495 | ||
| BIB | |a Y | ||
| SER | |a journal | ||
| JSO | |a {"recId":"1692237179","language":["eng"],"name":{"displayForm":["Colombe Bélaise, Benjamin Michaud, Fabien Dal Maso, Katja Mombaur, Mickaël Begon"]},"relHost":[{"type":{"media":"Online-Ressource","bibl":"periodical"},"disp":"Which data should be tracked in forward-dynamic optimisation to best predict muscle forces in a pathological co-contraction case?Journal of biomechanics","physDesc":[{"extent":"Online-Ressource"}],"note":["Gesehen am 12.07.24","Ungezählte Beil.: Suppl. mit Kongressveröffentlichungen d. verbundenen Organisationen"],"id":{"issn":["1873-2380"],"eki":["306587947"],"zdb":["1498351-5"]},"recId":"306587947","origin":[{"publisherPlace":"Amsterdam [u.a.]","dateIssuedKey":"1968","dateIssuedDisp":"1968-","publisher":"Elsevier Science"}],"titleAlt":[{"title":"Biomechanics"}],"pubHistory":["Volume 1, issue 1 (January 1968)-volume 49, issue 16 (December 2016) ; Volume 50 (4 January 2017)-"],"title":[{"subtitle":"affiliated with the American Society of Biomechanics, the European Society of Biomechanics, the International Society of Biomechanics, the Japanese Society for Clinical Biomechanics and Related Research and the Australian and New Zealand Society of Biomechanics","title_sort":"Journal of biomechanics","title":"Journal of biomechanics"}],"part":{"year":"2018","volume":"68","extent":"8","pages":"99-106","text":"68(2018), Seite 99-106"},"language":["eng"]}],"id":{"eki":["1692237179"],"doi":["10.1016/j.jbiomech.2017.12.028"]},"note":["Gesehen am 11.03.2020"],"physDesc":[{"extent":"8 S."}],"person":[{"display":"Bélaise, Colombe","family":"Bélaise","role":"aut","roleDisplay":"VerfasserIn","given":"Colombe"},{"family":"Mombaur","display":"Mombaur, Katja","given":"Katja","roleDisplay":"VerfasserIn","role":"aut"}],"title":[{"title":"Which data should be tracked in forward-dynamic optimisation to best predict muscle forces in a pathological co-contraction case?","title_sort":"Which data should be tracked in forward-dynamic optimisation to best predict muscle forces in a pathological co-contraction case?"}],"origin":[{"dateIssuedKey":"2018","dateIssuedDisp":"4 January 2018"}],"type":{"bibl":"article-journal","media":"Online-Ressource"}} | ||
| SRT | |a BELAISECOLWHICHDATAS4201 | ||