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Articles

Driving a musculoskeletal model with inertial and magnetic measurement units

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Pages 1003-1013 | Received 15 Jul 2013, Accepted 17 Nov 2013, Published online: 17 Dec 2013

References

  • AlexanderEJ, AndriacchiTP. 2001. Correcting for deformation in skin-based marker systems. J Biomech. 34:355–361.
  • AminianK, NajafiB. 2004. Capturing human motion using body-fixed sensors: Outdoor measurement and clinical applications. Comput Animat Virtual Worlds. 15:79–94.
  • AndersenMS, BenoitDL, DamsgaardM, RamseyDK, RasmussenJ. 2010. Do kinematic models reduce the effects of soft tissue artefacts in skin marker-based motion analysis? An in vivo study of knee kinematics. J Biomech. 43:268–273.
  • AndersenMS, DamsgaardM, MacWilliamsB, RasmussenJ. 2010. A computationally efficient optimisation-based method for parameter identification of kinematically determinate and over-determinate biomechanical systems. Comput Methods Biomech Biomed Eng. 13:171–183.
  • AndersenMS, DamsgaardM, RasmussenJ. 2009. Kinematic analysis of over-determinate biomechanical systems. Comput Methods Biomech Biomed Eng. 12:371–384.
  • AndersenMS, DamsgaardM, RasmussenJ, RamseyDK, BenoitDL. 2012. A linear soft tissue artefact model for human movement analysis: proof of concept using in vivo data. Gait Posture. 35:606–611.
  • BergaminiE, PicernoP, PilletH, NattaF, ThoreuxP, CamomillaV. 2012. Estimation of temporal parameters during sprint running using a trunk-mounted inertial measurement unit. J Biomech. 45:1123–1126.
  • BergaminiE, PilletH, HausselleJ, ThoreuxP, GuerardS, CamomillaV, CappozzoA, SkalliW. 2011. Tibio-femoral joint constraints for bone pose estimation during movement using multi-body optimization. Gait Posture. 33:706–711.
  • BernersAC, WebsterJG, WorringhamCJ, StelmachGE. 1995. An ultrasonic time-of-flight system for hand movement measurement. Physiol Meas. 16:203–211.
  • BrodieM, WalmsleyA, PageW. 2008. Fusion motion capture: a prototype system using inertial measurement units and GPS for the biomechanical analysis of ski racing. Sports Technol. 1:17–28.
  • ChardonnensJ, FavreJ, Le CallennecB, CuendetF, GremionG, AminianK. 2011. Automatic measurement of key ski jumping phases and temporal events with a wearable system. J Sports Sci. 30:53–61.
  • CorralesJA, CandelasFA, TorresF. 2008. Hybrid tracking of human operators using IMU/UWB data fusion by a Kalman filter. In: Proceedings of the 3rd International Conference on Human Robot Interaction – HRI '08. New York: ACM Press; p. 193.
  • CuttiA, FerrariAlberto, GarofaloP, RaggiM, CappelloA, FerrariA. 2010. “Outwalk”: a protocol for clinical gait analysis based on inertial and magnetic sensors. Med Biol Eng Comput. 48:17–25.
  • DamsgaardM, RasmussenJ, ChristensenST, SurmaE, de ZeeM. 2006. Analysis of musculoskeletal systems in the AnyBody Modeling System. Simul Model Pract Theory. 14:1100–1111.
  • DavisRB, III, ÕunpuuS, TyburskiD, GageJR. 1991. Human motion capture driven by orientation measurements. Hum Mov Sci. 10:575–587.
  • Della CroceU, CappozzoA. 2000. A spot check for estimating stereophotogrammetric errors. Med Biol Eng Comput. 38:260–266.
  • DelpSL, AndersonFC, ArnoldAS, LoanP, HabibA, JohnCT, GuendelmanE, ThelenDG. 2007. OpenSim: Open-source software to create and analyze dynamic simulations of movement. IEEE Trans Biomed Eng. 54:1940–1950.
  • DelpSL, LoanJP, HoyMG, ZajacFE, ToppEL, RosenJM. 1990. An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures. IEEE Trans Biomed Eng. 37:757–767.
  • FavreJ, AissaouiR, JollesBM, de GuiseJA, AminianK. 2009. Functional calibration procedure for 3D knee joint angle description using inertial sensors. J Biomech. 42:2330–2335.
  • FerrariA, BenedettiMG, PavanE, FrigoC, BettinelliD, RabuffettiM, CrennaP, LeardiniA. 2008. Quantitative comparison of five current protocols in gait analysis. Gait Posture. 28:207–216.
  • FerrariA, CuttiA, GarofaloP, RaggiM, HeijboerM, CappelloA, DavalliA. 2010. First in vivo assessment of “Outwalk”: a novel protocol for clinical gait analysis based on inertial and magnetic sensors. Med Biol Eng Comput. 48:1–15.
  • Forner-CorderoA, Mateu-ArceM, Forner-CorderoI, AlcántaraE, MorenoJ, PonsJ. 2008. Study of the motion artefacts of skin-mounted inertial sensors under different attachment conditions. Physiol Meas. 29:N21–N31.
  • JirawimutR, PtasinskiP, GarajV, CeceljaF, BalachandranW. 2003. A method for dead reckoning parameter correction in pedestrian navigation system. IEEE Trans Instrum Meas. 52:209–215.
  • KadabaMP, RamakrishnanHK, WoottenME. 1990. Measurement of lower extremity kinematics during level walking. J Orthop Res. 8:383–392.
  • Klein HorsmanMD, KoopmanHFJM, VeegerHEJ, van der HelmFCT. 2006. Musculoskeletal model of the lower extremity: Validation of muscle moment arms and maximal isometric muscle force. J Biomech. 39:S52.
  • KrügerA, McAlpineP, BorraniF, Edelmann-NusserJ. 2011. Determination of three-dimensional joint loading within the lower extremities in snowboarding. Proc Inst Mech Eng H. 226:170–175.
  • LiedtkeC, FokkenroodSAW, MengerJT, van der KooijH, VeltinkPH. 2007. Evaluation of instrumented shoes for ambulatory assessment of ground reaction forces. Gait Posture. 26:39–47.
  • LiuT, InoueY, ShibataK. 2009. Measurement of soft tissue deformation to improve the accuracy of a body-mounted motion sensor. J Med Device. 3:35001–35006.
  • LuTW, O'ConnorJJ. 1999. Bone position estimation from skin marker co-ordinates using global optimisation with joint constraints. J Biomech. 32:129–134.
  • LuingeHJ, VeltinkPH, BatenCTM. 1999. Estimating orientation with gyroscopes and accelerometers. Technol Health Care. 7:455–459.
  • LuingeHJ, VeltinkPH, BatenCTM. 2007. Ambulatory measurement of arm orientation. J Biomech. 40:78–85.
  • MoletT, BoulicR, ThalmannD. 1999. Human motion capture driven by orientation measurements. Presence (Camb). 8:187–203.
  • PetersA, GalnaB, SangeuxM, MorrisM, BakerR. 2010. Quantification of STA in lower limb human motion analysis: A systematic review. Gait Posture. 31:1–8.
  • PicernoP, CereattiA, CappozzoA. 2008. Joint kinematics estimate using wearable inertial and magnetic sensing modules. Gait Posture. 28:588–595.
  • PicernoP, CereattiA, CappozzoA. 2011. A spot check for assessing static orientation consistency of inertial and magnetic sensing units. Gait Posture. 33:373–378.
  • PittetS, RenaudinV, MerminodB, KasserM. 2008. UWB and MEMS based indoor navigation. J Navig. 61:369–384.
  • ReinboltJA, SchutteJF, FreglyBJ, KohBI, HaftkaRT, GeorgeAD, MitchellKH. 2005. Determination of patient-specific multi-joint kinematic models through two-level optimization. J Biomech. 38:621–626.
  • RenaudinV, MerminodB, KasserM. 2008. Optimal data fusion for pedestrian navigation based on UWB and MEMS. In: Position, Location and Navigation Symposium. Monterey: IEEE/ION. p. 341–349.
  • RoetenbergD. 2006. Inertial and magnetic sensing of human motion. Enschede: University of Twente.
  • RoetenbergD, SchipperL, GarofaloP, CuttiA, LuingeH. 2010. Joint angles and segment length estimation using inertial sensors. In: Proceedings of the 3DMA, Technical Group on 3-D Analysis of Human Movement of the International Society of Biomechanics, San Francisco, USA. p. 3–6.
  • SchepersHM, van AsseldonkE, BuurkeJH, VeltinkPH. 2009. Ambulatory estimation of center of mass displacement during walking. IEEE Trans Biomed Eng. 56:1189–1195.
  • SchepersHM, VeltinkPH. 2010. Stochastic magnetic measurement model for relative position and orientation estimation. Meas Sci Technol. 21:65801.
  • TaoL, YoshioI, KyokoS. 2010. A wearable force plate system for the continuous measurement of triaxial ground reaction force in biomechanical applications. Meas Sci Technol. 21:85804.
  • WoltringHJ. 1994. 3-D attitude representation of human joints: A standardization proposal. J Biomech. 27:1399–1414.
  • ZhouH, HuH. 2008. Human motion tracking for rehabilitation: A survey. Biomed Signal Process Control. 3:1–18.
  • ZhouH, HuH. 2010. Reducing drifts in the inertial measurements of wrist and elbow positions. IEEE Trans Instrum Meas. 59:575–585.

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