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Gait analysis in children with cerebral palsy via inertial and magnetic sensors

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Abstract

3D kinematic measurements in children with cerebral palsy (CP) to assess gait deviations can only be performed in gait laboratories using optoelectronic systems. Alternatively, an inertial and magnetic measurement system (IMMS) can be applied for ambulatory motion-tracking. A protocol named Outwalk has recently been developed to measure the 3D kinematics during gait with IMMS. This study preliminary validated the application of IMMS, based on the Outwalk protocol, in gait analysis of six children with CP and one typically developing child. Reference joint kinematics were simultaneously obtained from a laboratory-based system and protocol. On average, the root mean square error (RMSE) of Outwalk/IMMS, compared to the reference, was less than 17° in the transversal plane, and less than 10° in the sagittal and frontal planes. The greatest differences were found in offsets in the knee and ankle rotation, and in the hip flexion. These offset differences were mainly caused by a different anatomical calibration in the protocols. When removing the offsets, RMSE was always less than 4°. Therefore, IMMS is suitable for gait analysis of major joint angles in a laboratory-free setting. Further studies should focus on improvement of anatomical calibrations of IMMS that can be performed in children with CP.

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References

  1. Akbarshahi M, Schache AG, Fernandez JW, Baker R, Banks S, Pandy MG (2010) Non-invasive assessment of soft-tissue artifact and its effect on knee joint kinematics during functional activity. J Biomech 43:1292–1301

    Article  PubMed  Google Scholar 

  2. Aminian K (2006) Monitoring human movement with body-fixed sensors and its clinical applications. In: Begg R, Palaniswami M (eds) Computational intelligence for movement sciences. Idea Group Inc., Hershey, pp 101–138

    Chapter  Google Scholar 

  3. Bax MC, Flodmark O, Tydeman C (2007) Definition and classification of cerebral palsy. From syndrome toward disease. Dev Med Child Neurol Suppl 109:39–41

    Article  PubMed  CAS  Google Scholar 

  4. Brennan A, Deluzio K, Li Q (2011) Assessment of anatomical frame variation effect on joint angles: a linear perturbation approach. J Biomech 44:2838–2842

    Article  PubMed  CAS  Google Scholar 

  5. Cappozzo A, Catani F, Croce UD, Leardini A (1995) Position and orientation in space of bones during movement: anatomical frame definition and determination. Clin Biomech (Bristol, Avon) 10:171–178

    Article  Google Scholar 

  6. Cappozzo A, Della CU, Leardini A, Chiari L (2005) Human movement analysis using stereophotogrammetry. Part 1: theoretical background. Gait Posture 21:186–196

    PubMed  Google Scholar 

  7. Cutti AG, Ferrari A, Garofalo P, Raggi M, Cappello A, Ferrari A (2010) ‘Outwalk’: a protocol for clinical gait analysis based on inertial and magnetic sensors. Med Biol Eng Comput 48:17–25

    Article  PubMed  Google Scholar 

  8. Cutti AG, Raggi M, Garofalo P, Bottoni G, Ammaccapane A, Amorensano A, Davalli A (2010) 3D gait kinematic of transtibial amputees walking in every-day life environments: reliability study of a protocol based on inertial & magnetic sensors. ISPO World Congr 1133–1134. http://www.confairmed.de/e3470463/e3711669/e3713148/pub_export_eng.pdf

  9. de Vries WH, Veeger HE, Baten CT, van der Helm FC (2009) Magnetic distortion in motion labs, implications for validating inertial magnetic sensors. Gait Posture 29:535–541

    Article  PubMed  Google Scholar 

  10. Favre J, Aissaoui R, Jolles BM, de Guise JA, Aminian K (2009) Functional calibration procedure for 3D knee joint angle description using inertial sensors. J Biomech 42:2330–2335

    Article  PubMed  CAS  Google Scholar 

  11. Ferrari A, Benedetti MG, Pavan E, Frigo C, Bettinelli D, Rabuffetti M, Crenna P, Leardini A (2008) Quantitative comparison of five current protocols in gait analysis. Gait Posture 28:207–216

    Article  PubMed  Google Scholar 

  12. Ferrari A, Cutti AG, Cappello A (2010) A new formulation of the coefficient of multiple correlation to assess the similarity of waveforms measured synchronously by different motion analysis protocols. Gait Posture 31:540–542

    Article  PubMed  Google Scholar 

  13. Ferrari A, Cutti AG, Garofalo P, Raggi M, Heijboer M, Cappello A, Davalli A (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

    Article  PubMed  Google Scholar 

  14. Frigo C, Rabuffetti M, Kerrigan DC, Deming LC, Pedotti A (1998) Functionally oriented and clinically feasible quantitative gait analysis method. Med Biol Eng Comput 36:179–185

    Article  PubMed  CAS  Google Scholar 

  15. Gage JR, Schwartz MH, Koop SE, Novacheck TF (2009) The identification and treatment of gait problems in cerebral palsy. Mac Keith Press, London

    Google Scholar 

  16. Kadaba MP, Ramakrishnan HK, Wootten ME, Gainey J, Gorton G, Cochran GV (1989) Repeatability of kinematic, kinetic, and electromyographic data in normal adult gait. J Orthop Res 7:849–860

    Article  PubMed  CAS  Google Scholar 

  17. Koo S, Andriacchi TP (2008) The knee joint center of rotation is predominantly on the lateral side during normal walking. J Biomech 41:1269–1273

    Article  PubMed  Google Scholar 

  18. Kozanek M, Hosseini A, Liu F, Van de Velde SK, Gill TJ, Rubash HE, Li G (2009) Tibiofemoral kinematics and condylar motion during the stance phase of gait. J. Biomech. 42:1877–1884

    Article  PubMed  Google Scholar 

  19. McGinley JL, Baker R, Wolfe R, Morris ME (2009) The reliability of three-dimensional kinematic gait measurements: a systematic review. Gait Posture 29:360–369

    Article  PubMed  Google Scholar 

  20. O’Donovan KJ, Kamnik R, O’Keeffe DT, Lyons GM (2007) An inertial and magnetic sensor based technique for joint angle measurement. J Biomech 40:2604–2611

    Article  PubMed  Google Scholar 

  21. Picerno P, Cereatti A, Cappozzo A (2008) Joint kinematics estimate using wearable inertial and magnetic sensing modules. Gait Posture 28:588–595

    Article  PubMed  Google Scholar 

  22. Ramakrishnan HK, Kadaba MP (1991) On the estimation of joint kinematics during gait. J Biomech 24:969–977

    Article  PubMed  CAS  Google Scholar 

  23. Ramsey DK, Wretenberg PF (1999) Biomechanics of the knee: methodological considerations in the in vivo kinematic analysis of the tibiofemoral and patellofemoral joint. Clin Biomech (Bristol., Avon.) 14:595–611

    Article  CAS  Google Scholar 

  24. Roetenberg D (2006) Inertial and magnetic sensing of human motion. Ph. D. thesis

  25. Roetenberg D, Baten CT, Veltink PH (2007) Estimating body segment orientation by applying inertial and magnetic sensing near ferromagnetic materials. IEEE Trans Neural Syst Rehabil Eng 15:469–471

    Article  PubMed  Google Scholar 

  26. Roetenberg D, Schipper L, Garofalo P, Cutti AG, Luinge HJ (2010) Joint angles and segment length estimation using inertial sensors. 3dMA, Technical Group on 3-D Analysis of Human Movement of the International Society of Biomechanics

  27. Rosenbaum P, Paneth N, Leviton A, Goldstein M, Bax M, Damiano D, Dan B, Jacobsson B (2007) A report: the definition and classification of cerebral palsy April 2006. Dev Med Child Neurol Suppl 109:8–14

    PubMed  Google Scholar 

  28. Rosenbaum PL, Palisano RJ, Bartlett DJ, Galuppi BE, Russell DJ (2008) Development of the gross motor function classification system for cerebral palsy. Dev Med Child Neurol 50:249–253

    Article  PubMed  Google Scholar 

  29. Sabatini AM (2006) Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing. IEEE Trans Biomed Eng 53:1346–1356

    Article  PubMed  Google Scholar 

  30. Schache AG, Baker R, Lamoreux LW (2006) Defining the knee joint flexion-extension axis for purposes of quantitative gait analysis: an evaluation of methods. Gait Posture 24:100–109

    Article  PubMed  Google Scholar 

  31. Schepers HM, Koopman HF, Veltink PH (2007) Ambulatory assessment of ankle and foot dynamics. IEEE Trans Biomed Eng 54:895–902

    Article  PubMed  Google Scholar 

  32. Schepers HM, van Asseldonk EHF, Baten CTM, Veltink PH (2010) Ambulatory estimation of foot placement during walking using inertial sensors. J Biomech 43:3138–3143

    Article  Google Scholar 

  33. Schutte LM, Narayanan U, Stout JL, Selber P, Gage JR, Schwartz MH (2000) An index for quantifying deviations from normal gait. Gait Posture 11:25–31

    Article  PubMed  CAS  Google Scholar 

  34. Stagni R, Fantozzi S, Cappello A (2006) Propagation of anatomical landmark misplacement to knee kinematics: performance of single and double calibration. Gait Posture 24:137–141

    Article  PubMed  Google Scholar 

  35. Stansfield BW, Hillman SJ, Hazlewood ME, Lawson AA, Mann AM, Loudon IR, Robb JE (2001) Sagittal joint kinematics, moments, and powers are predominantly characterized by speed of progression, not age, in normal children. J Pediatr Orthop 21:403–411

    PubMed  CAS  Google Scholar 

  36. van den Noort JC, Scholtes VA, Harlaar J (2009) Evaluation of clinical spasticity assessment in cerebral palsy using inertial sensors. Gait Posture 30:138–143

    Article  PubMed  Google Scholar 

  37. Zhou H, Hu H, Harris N (2005) Application of wearable inertial sensors in stroke rehabilitation. Conf Proc IEEE Eng Med Biol Soc 7:6825–6828

    PubMed  Google Scholar 

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Acknowledgments

This work is part of the FreeMotion project (http://www.freemotion.tk) funded by the Dutch Ministry of Economic Affairs and Senter Novem. The authors wish to thank all the children and their parents who participated in the study, and Martin Schepers for assistance in data analysis.

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Correspondence to Josien C. van den Noort.

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van den Noort, J.C., Ferrari, A., Cutti, A.G. et al. Gait analysis in children with cerebral palsy via inertial and magnetic sensors. Med Biol Eng Comput 51, 377–386 (2013). https://doi.org/10.1007/s11517-012-1006-5

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  • DOI: https://doi.org/10.1007/s11517-012-1006-5

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