Skip to main content

Motion Analysis in Clinical Practice Using Ambulatory Accelerometry

  • Conference paper
  • First Online:
Modelling and Motion Capture Techniques for Virtual Environments (CAPTECH 1998)

Abstract

A new system, Physilog, for ambulatory monitoring of movement is proposed and its applications in orthopaedic, physiology, angiology and quality of life are presented. Body accelerations were recorded by a portable measuring device. Significant parameters of body motion, namely, movement coordination, temporal parameters, speed, incline, distance covered, kind of physical activity and its duration, are extracted from the subject accelerations in its daily environment. The accuracy of these parameters guarantees the reliability of accelerometry in clinical application.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Rudolf F., Arbab B., Orhant O.: Low power accelerometer for portable and remote instrumentation, Proceeding of the Sensors Expo San Jose, Technical Conference. San Jose (1998) 417–423

    Google Scholar 

  2. Ferrigno G., Pedotti A: ELITE: A digital dedicated hardware system for movement analysis vis real-time TV signal processing. IEEE Trans. Biomed. Eng. 32 (1985) 943–950

    Article  Google Scholar 

  3. Morris, J.R.W.: Accelerometry-a technique for the measurement of human body movements. J. Biomech. 6 (1973) 729–736

    Article  Google Scholar 

  4. Willemsen, A.TH., Frigo C., Boom H.B.K.: Lower extremity angle measurement with accelerometers-error and sensitivity analysis. IEEE Trans. Biomed. Eng. 38 (1991) 1186–1193

    Article  Google Scholar 

  5. Wu G., Ladin Z.: The study of kinematic transients in locomotion using the integrated kinematic sensor. IEEE trans. Rehabil. Eng. 4 (1996) 193–200

    Article  Google Scholar 

  6. Kane T.R., Hayes W.C., Priest J.D.: Experimental determination of forces exerted in tennis play. In Biomech.IV, baltimore, MD (1974) 284–290

    Google Scholar 

  7. Wu G., Ladin Z.: The Kinematometer-An Integrated kinematic sensor for Kinesiological measurements. J. Biomech.Eng. 115 (1993) 53–62

    Article  Google Scholar 

  8. Aminian K., Robert Ph., Jéquier E., Schutz Y.: Classification of level and grade walking using neural network. Proceeding of Iranian Conference on Electrical Engineering (ICEE-94) 6 (1994) 13–19

    Google Scholar 

  9. Aminian K., Robert Ph., Jéquier E., Schutz Y.: Level, downhill and uphill walking identification using neural network. Electron. Lett. 29 (1993) 1563–1565

    Article  Google Scholar 

  10. Lieberman JR, Dorey F., Shekelle p., Schumaker L., Thomas BJ., Kilgus DJ., Finerman GA.: Differences between patients and physicians evaluations of outcome after total hip arthroplasty. Journal of Bone and Joint Surgery 78 A (1996) 835–838

    Google Scholar 

  11. Anderson G.: Hip assessment: a comparison of nine different methods. Journal of bone and joint surgery 54B (1972) 621–625

    Google Scholar 

  12. Liang MH., Fosset A., Larson M.. Comparisons of five health status instruments for orthopedic evaluation. Medical Care 28 (1990) 632–642

    Article  Google Scholar 

  13. Bernstein N.: The coordination and Regulation of Movement. Pergamon Press London (1967)

    Google Scholar 

  14. Aminian K., Robert Ph., de Andrès E., Fritsch C.: Functional Performance Analysis of Hip and Knee Arthroplasty using Accelerometry. Proceeding of 8th Conference European Orthopeadic Research Society, EORS’98, Amsterdam, The Netherland. (1998) O 53.

    Google Scholar 

  15. de Andrès E., Aminian K., Fritsch C., Leyvraz P.-F., Robert Ph.: Interest of Gait Analysis in Hip and Knee. Proceeding of 2nd Mediterranean Congress of Physical Medicine and Rehabilitation, Valencia, Spain. (1998) 347

    Google Scholar 

  16. Kohonen, T.: Self-organisation and associative memory (3rd Edn.). Springer-Verlag, Berlin (1989)

    Google Scholar 

  17. de Andrès E., Aminian K., Fritsch C., Leyvraz P.-F., Robert Ph., Depairon M., Schutz Y.: Intérêts des analyses fonctionnelles lors d’arthroplastie (hanche-genou). Recueil des communications du 6ème Congrés de l’Union des Sociétés Chirurgicales Suisses, Lausanne, Suisse, supplement 1 (1998) 80

    Google Scholar 

  18. Vaughan C.L.: Dynamics of human gait. Human Kinetics Publishers, Champaign, 1992

    Google Scholar 

  19. Wall J.C., Ashburn A., Klenerman L.: Gait Analysis in The Assessment of Functional Perfoemance Before And After Total Hip Replacement. J. Biomed. Eng. 3 (1981) 121–127

    Article  Google Scholar 

  20. Giannini S., Catani F., Bendetti M.G. and Leardini A., Gait Analysis: methodologies clinical applications, IOS Press Amsterdam (1994)

    Google Scholar 

  21. de Andrès E., Aminian K., Rezakhanlou K., Fritsch C., Robert Ph., Leyvraz P.-F.: Analysis of hip arthroplasty using accelerometry. Proceeding of 11th Annual symposium of the International Society for Technology in Arthroplasty, Marseille, France (1998) to be published.

    Google Scholar 

  22. Aminian K., Robert Ph., Jéquier E., Schutz Y.: Incline, speed and distance assessment during during unconstrained walking. Med.Sci.Sports Exec. 27 (1995) 226–234

    Google Scholar 

  23. Aminian K.,. Robert Ph, Jéquier E., Schutz Y.: Estimation of speed and incline of walking using neural network. IEEE Trans.Inst.Meas. 44 (1995) 743–746

    Article  Google Scholar 

  24. Schutz Y., Aminian K., Jequier E., Robert Ph.: Use of neural network for assessing the speed and incline of walking in man by means of 3-D accelerometry. Proceeding of the 27th annual Meeting of the USGEB/USSBE, Fribourg (1995)

    Google Scholar 

  25. Herren R., Sparti A., Aminian K., Schutz Y.: Assessment of speed and incline of outdoor running in humans by accelerometry, Med.Sci.Sports Exec. (1998) to be published

    Google Scholar 

  26. Schutz Y., Aminian K., Robert Ph.: A new device to predict under free-living conditions the speed and incline of walking. Proceeding of the7th ICO Satellite meeting, Quebec (1994)

    Google Scholar 

  27. Baranowski T.: Energy expenditure in level and grade walking. Res. Q. Exerc. Sport 59 (1988) 314–327

    Google Scholar 

  28. Eston RG., Rowlands AV., Ingledew DK.: Validity of heart rate, pedometry and accelerometry for predicting the energy cost of children’s activities. J. Appl. Physiol. 84 (1998) 362–371

    Google Scholar 

  29. MARGARIA, R.: Biomechanics and energetics of muscular exercise, Oxford: Clarendon Press (1976) 67–139

    Google Scholar 

  30. Rose J., Ralston H.J., Gamble J.G.: Energetics of walking. In Rose J. and Gamble J.G. (Eds), Human Walking. Williams & Wilkins, Baltimore (1994) 45–72

    Google Scholar 

  31. NG A.V., Kent-Braun J.A.: Quantitation of lower physical activity in persons with multiple sclerosis. Med. Sci. Sports Exerc. 29 (1997) 517–523

    Google Scholar 

  32. Sieminski D.J, Cowell L.L., Montgomery P.S., Pillai S.B., Gardner A.W.: Physical activity monitoring in patients with peripheral arterial occlusive disease. J. Cardiopulmonary Rehabil. 17 (1997) 43–47

    Article  Google Scholar 

  33. Cristol R., Graisel Y.B.: Evaluation de la claudication intermittente sur tapis roulant avec mesure de la pression systolique à la cheville après effort. J. Mal. Vasc., Paris 10 (1985) 101–107

    Google Scholar 

  34. Greig C., Bulter F., Skelton D., Mahmud S., Young A.: Treadmill walking in old age may not reproduce the real situation. J. Am. Geriatr. Soc. 41 (1993) 15–18

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg1998

About this paper

Cite this paper

Aminian, K. et al. (1998). Motion Analysis in Clinical Practice Using Ambulatory Accelerometry. In: Magnenat-Thalmann, N., Thalmann, D. (eds) Modelling and Motion Capture Techniques for Virtual Environments. CAPTECH 1998. Lecture Notes in Computer Science(), vol 1537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49384-0_1

Download citation

  • DOI: https://doi.org/10.1007/3-540-49384-0_1

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65353-0

  • Online ISBN: 978-3-540-49384-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics