Method for Using IMU-Based Experimental Motion Data in BVH Format for Musculoskeletal Simulations via OpenSim.
biomechanics
data transfer
inertial sensors
motion tracking
musculoskeletal modelling and simulation
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
08 Jun 2023
08 Jun 2023
Historique:
received:
11
05
2023
revised:
31
05
2023
accepted:
05
06
2023
medline:
10
7
2023
pubmed:
8
7
2023
entrez:
8
7
2023
Statut:
epublish
Résumé
Biomechanical simulation allows for in silico estimations of biomechanical parameters such as muscle, joint and ligament forces. Experimental kinematic measurements are a prerequisite for musculoskeletal simulations using the inverse kinematics approach. Marker-based optical motion capture systems are frequently used to collect this motion data. As an alternative, IMU-based motion capture systems can be used. These systems allow flexible motion collection without nearly any restriction regarding the environment. However, one limitation with these systems is that there is no universal way to transfer IMU data from arbitrary full-body IMU measurement systems into musculoskeletal simulation software such as OpenSim. Thus, the objective of this study was to enable the transfer of collected motion data, stored as a BVH file, to OpenSim 4.4 to visualize and analyse the motion using musculoskeletal models. By using the concept of virtual markers, the motion saved in the BVH file is transferred to a musculoskeletal model. An experimental study with three participants was conducted to verify our method's performance. Results show that the present method is capable of (1) transferring body dimensions saved in the BVH file to a generic musculoskeletal model and (2) correctly transferring the motion data saved in the BVH file to a musculoskeletal model in OpenSim 4.4.
Identifiants
pubmed: 37420590
pii: s23125423
doi: 10.3390/s23125423
pmc: PMC10303752
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Deutsche Forschungsgemeinschaft
ID : 442419336, WA 2913/41-1, MI 2608/2-1
Références
J Sports Sci. 2017 Jun;35(12):1125-1133
pubmed: 27458775
Physiol Meas. 2013 Aug;34(8):N63-9
pubmed: 23893094
Sensors (Basel). 2021 Mar 05;21(5):
pubmed: 33807832
Comput Methods Biomech Biomed Engin. 2019 Jan;22(1):3-10
pubmed: 30398089
Comput Methods Biomech Biomed Engin. 2019 Jun;22(8):869-879
pubmed: 30987457
Sensors (Basel). 2020 Jul 07;20(13):
pubmed: 32646033
Knee. 2015 Jun;22(3):206-12
pubmed: 25813759
J Neuroeng Rehabil. 2022 Feb 20;19(1):22
pubmed: 35184727
Comput Methods Biomech Biomed Engin. 2015;18(13):1445-58
pubmed: 24995410
Curr Sports Med Rep. 2019 Jun;18(6):210-216
pubmed: 31385836
Comput Methods Biomech Biomed Engin. 2017 Mar;20(4):436-445
pubmed: 27723992
IEEE Trans Neural Syst Rehabil Eng. 2006 Dec;14(4):456-69
pubmed: 17190037
Med Biol Eng Comput. 2005 Mar;43(2):273-82
pubmed: 15865139
Med Eng Phys. 2019 Mar;65:68-77
pubmed: 30737118
Arch Orthop Trauma Surg. 2017 Nov;137(11):1579-1585
pubmed: 28905107