Simultaneous validation of wearable motion capture system for lower body applications: over single plane range of motion (ROM) and gait activities.
gait analysis
motion capture (MOCAP) systems
proof of concept
range of motion
validation
Journal
Biomedizinische Technik. Biomedical engineering
ISSN: 1862-278X
Titre abrégé: Biomed Tech (Berl)
Pays: Germany
ID NLM: 1262533
Informations de publication
Date de publication:
27 Jun 2022
27 Jun 2022
Historique:
received:
24
12
2021
accepted:
30
03
2022
pubmed:
17
5
2022
medline:
9
6
2022
entrez:
16
5
2022
Statut:
epublish
Résumé
Extracting data from {Zhu, 2019 #5} daily life activities is important in biomechanical applications to define exact boundary conditions for the intended use-based applications. Although optoelectronic camera-marker based systems are used as gold standard tools for medical applications, due to line-of-sight problem, there is a need for wearable, affordable motion capture (MOCAP) systems. We investigate the potential use of a wearable inertial measurement unit (IMU) based-wearable MOCAP system for biomechanical applications. The
Identifiants
pubmed: 35575784
pii: bmt-2021-0429
doi: 10.1515/bmt-2021-0429
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
185-199Informations de copyright
© 2022 Walter de Gruyter GmbH, Berlin/Boston.
Références
Uchida, TK, Delp, SL. Biomechanics of movement: the science of sports, robotics, and rehabilitation. Cambridge, Massachusetts: MIT Press; 2021.
Mihcin, S, Ciklacandir, S, Kocak, M, Tosun, A. Wearable motion capture system evaluation for biomechanical studies for hip joints. J Biomech Eng 2021;143. https://doi.org/10.1115/1.4049199.
Mihcin, S, Strehlow, J, Demedts, D, Schwenke, M, Levy, Y, Melzer, A. Evidence-based cross validation for acoustic power transmission for a novel treatment system. Minim Invasive Ther Allied Technol 2017;26:151–61. https://doi.org/10.1080/13645706.2016.1273836.
Mihcin, S, Karakitsios, I, Le, N, Strehlow, J, Demedts, D, Schwenke, M, et al.. Methodology on quantification of sonication duration for safe application of MR guided focused ultrasound for liver tumour ablation. Comput Methods Progr Biomed 2017;152:125–30. https://doi.org/10.1016/j.cmpb.2017.09.006.
van der Kruk, E, Reijne, MM. Accuracy of human motion capture systems for sport applications; state-of-the-art review. Eur J Sport Sci 2018;18:806–19. https://doi.org/10.1080/17461391.2018.1463397.
Zhou, HY, Hu, HS. Human motion tracking for rehabilitation-a survey. Biomed Signal Process Control 2008;3:1–18. https://doi.org/10.1016/j.bspc.2007.09.001.
Fusca, M, Negrini, F, Perego, P, Magoni, L, Molteni, F, Andreoni, G. Validation of a wearable IMU system for gait analysis: protocol and application to a new system. Appl Sci 2018;8. https://doi.org/10.3390/app8071167.
Picerno, P, Iosa, M, D’Souza, C, Benedetti, MG, Paolucci, S, Morone, G. Wearable inertial sensors for human movement analysis: a five-year update. Expet Rev Med Dev 2021;18:79–94. https://doi.org/10.1080/17434440.2021.1988849.
Iosa, M, Picerno, P, Paolucci, S, Morone, G. Wearable inertial sensors for human movement analysis. Expet Rev Med Dev 2016;13:641–59. https://doi.org/10.1080/17434440.2016.1198694.
Luinge, HJ, Veltink, PH. Measuring orientation of human body segments using miniature gyroscopes and accelerometers. Med Biol Eng Comput 2005;43:273–82. https://doi.org/10.1007/bf02345966.
Mancini, M, Chiari, L, Holmstrom, L, Salarian, A, Horak, FB. Validity and reliability of an IMU-based method to detect APAs prior to gait initiation. Gait Posture 2016;43:125–31. https://doi.org/10.1016/j.gaitpost.2015.08.015.
Teufl, W, Miezal, M, Taetz, B, Frohlich, M, Bleser, G. Validity, test-retest reliability and long-term stability of magnetometer free inertial sensor based 3D joint kinematics. Sensors 2018;18. https://doi.org/10.3390/s18071980.
Xing, HF, Hou, B, Lin, ZH, Guo, MF. Modeling and compensation of random drift of MEMS gyroscopes based on least squares support vector machine optimized by chaotic particle swarm optimization. Sensors 2017;17. https://doi.org/10.3390/s17102335.
Muro-de-la-Herran, A, Garcia-Zapirain, B, Mendez-Zorrilla, A. Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications. Sensors 2014;14:3362–94. https://doi.org/10.3390/s140203362.
Pirker, W, Katzenschlager, R. Gait disorders in adults and the elderly: a clinical guide. Wien Klin Wochenschr 2017;129:81–95. https://doi.org/10.1007/s00508-016-1096-4.
Di Stasi, SL, Logerstedt, D, Gardinier, ES, Snyder-Mackler, L. Gait patterns differ between ACL-reconstructed athletes who pass return-to-sport criteria and those who fail. Am J Sports Med 2013;41:1310–8. https://doi.org/10.1177/0363546513482718.
Feng, J, Wick, J, Bompiani, E, Aiona, M. Applications of gait analysis in pediatric orthopaedics. Curr Orthop Pract 2016;27:455–64. https://doi.org/10.1097/bco.0000000000000386.
Gerhardt, DMJM, Mors, TGT, Hannink, G, van Susante, JLC. Resurfacing hip arthroplasty better preserves a normal gait pattern at increasing walking speeds compared to total hip arthroplasty. Acta Orthop 2019;90:231–6. https://doi.org/10.1080/17453674.2019.1594096.
Al-Amri, M, Nicholas, K, Button, K, Sparkes, V, Sheeran, L, Davies, JL. Inertial measurement units for clinical movement analysis: reliability and concurrent validity. Sensors 2018;18. https://doi.org/10.3390/s18030719.
Konrath, JM, Karatsidis, A, Schepers, HM, Bellusci, G, de Zee, M, Andersen, MS. Estimation of the knee adduction moment and joint contact force during daily living activities using inertial motion capture. Sensors 2019;19. https://doi.org/10.3390/s19071681.
Smartsuit-Pro tech, specs. 2020. Rokoko Electronics. Available from: https://www.rokoko.com/products/smartsuit-pro/tech-specs.
Small carbon fiber calibration kit. Qualisys; 2018. Available from: https://www.qualisys.com/accessories/calibration-kits/small-carbon-fibre-calibration-kit/.
Miqus. Capture more with less. Qualisys; 2020. Available from: https://www.qualisys.com/cameras/miqus/#!#tech-specs.
Güleç, E, Akın, G, Sağır, M, Koca Özer, B, Gültekin, T, Bektaş, Y. Anadolu insaninin antropometrik Boyutlari: 2005 Yili Türkiye AntropometrIi Anketi Genel Sonuclari. Ankara Üniversitesi Dil ve Tarih-Coğrafya Fakültesi Dergisi 2009;49:187–201. https://dergipark.org.tr/en/pub/dtcfdergisi/issue/66778/1044246.
Perry, J, Burnfield, JM. Gait analysis: normal and pathological function. J Sports Sci Med 2010;9:353.
Norkin, CC, White, DJ. Measurement of joint motion: a guide to goniometry, 5th ed. USA: F.A. Davis Company; 2016.
Grimston, SK, Nigg, BM, Hanley, DA, Engsberg, JR. Differences in ankle joint complex range of motion as a function of age. Foot Ankle 1993;14:215–22. https://doi.org/10.1177/107110079301400407.
Cappozzo, A, Catani, F, Della Croce, U, Leardini, A. Position and orientation in space of bones during movement: anatomical frame definition and determination. Clin Biomech 1995;10:171–8. https://doi.org/10.1016/0268-0033(95)91394-t.
Quality motion capture in one simple suit. 2020. Rokoko Electronics. Available from: https://www.rokoko.com/products/smartsuit-pro.
Getting started guide: Smartsuit Pro: Rokoko help & community. 2020. Rokoko Electronics. Available from: https://help.rokoko.com/support/solutions/articles/47001095035-getting-started-guide-smartsuit-pro#calibration-straight-pose-0-15.
Seel, T, Raisch, J, Schauer, T. IMU-based joint angle measurement for gait analysis. Sensors 2014;14:6891–909. https://doi.org/10.3390/s140406891.
Schepers, M, Giuberti, M, Bellusci, G. Xsens mvn: Consistent tracking of human motion using inertial sensing. Xsens Technol 2018;1. https://doi.org/10.13140/RG.2.2.22099.07205. https://www.researchgate.net/publication/324007368_Xsens_MVN_Consistent_Tracking_of_Human_Motion_Using_Inertial_Sensing?channel=doi&linkId=5ab8be2f0f7e9b68ef51f7ba&showFulltext=true.
Sataloff, RT, Michael, M, Karen, M. QTM user manual. Sweden: Qualisys AB; 2011:107–170 pp. https://home.hvl.no/ansatte/gste/ftp/MarinLab_files/Manualer_utstyr/QTM-usermanual.pdf.
Giavarina, D. Understanding Bland Altman analysis. Biochem Med 2015;25:141–51. https://doi.org/10.11613/bm.2015.015.
van Stralen, KJ, Dekker, FW, Zoccali, C, Jager, KJ. Measuring agreement, more complicated than it seems. Nephron Clin Pract 2012;120:C162–7. https://doi.org/10.1159/000337798.
Mehdizadeh, S, Arshi, AR, Davids, K. Effect of speed on local dynamic stability of locomotion under different task constraints in running. Eur J Sport Sci 2014;14:791–8. https://doi.org/10.1080/17461391.2014.905986.
Zhang, JT, Novak, AC, Brouwer, B, Li, QG. Concurrent validation of Xsens MVN measurement of lower limb joint angular kinematics. Physiol Meas 2013;34:N63–9. https://doi.org/10.1088/0967-3334/34/8/n63.
Mihcin, S. Methodology on co-registration of MRI and optoelectronic motion capture marker sets: in-vivo wrist case study. Hittite J Sci Eng 2019;6:99–107. https://doi.org/10.17350/hjse19030000134.
Health Quality Ontario. Portable ultraviolet light surface-disinfecting devices for prevention of hospital-acquired infections: a health technology assessment. Ontario Health Technol Assess Ser 2018;18:1–73.