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Planipes: mobile foot pressure analysis

Published:01 November 2011Publication History

ABSTRACT

Analyzing foot pressure is helpful in clinical diagnosis. Possible applications include the diagnosis of back injuries, prevention of diabetic foot ulceration, and adaptation of insoles for orthopedic applications. Consequently, several approaches to measure foot pressure distributions exist. However, traditional systems exhibit one common drawback: They are non-mobile or at least obtrusive and therewith influence the measurement. In the case of stationary pressure plates, people are only able to measure the foot pressure distribution in an unnatural context. The few available portable systems feature a lot of cables and large data processing computers, which render them unusable for everyday activities or long term measurements. To address these issues we have implemented Planipes, a mobile and versatile foot pressure measurement platform. It consists of a small sensor module that measures foot pressure distribution in real time and a smartphone application that allows to visualize, record, and analyze the data. Both parts are wirelessly connected through Bluetooth. Our system allows to unobtrusively measure foot pressure in real time during everyday activities, and to give feedback to the user. In contrast to existing systems it allows to measure foot pressure of a person over a longer period and in a natural environment, without influencing or impeding the user.

References

  1. R. Betts, C. Franks, T. Duckworth, and J. Burke. Static and dynamic foot-pressure measurements in clinical orthopaedics. Medical and Biological Engineering and Computing, 18(5):674--84, 1980.Google ScholarGoogle ScholarCross RefCross Ref
  2. R. Brand and R. Crowninshield. Comment on criteria for patient evaluation tools. J. Biomech., 14(9):655, 1981.Google ScholarGoogle ScholarCross RefCross Ref
  3. J. Burke, D. Estrin, M. Hansen, A. Parker, N. Ramanathan, S. Reddy, and M. Srivastava. Participatory Sensing. In Proceedings of the Workshop on World-Sensor-Web (WSW), pages 1--5, 2006.Google ScholarGoogle Scholar
  4. P. R. Cavanagh, F. H. Jr, and J. Perry. In-shoe plantar pressure measurement: a review. The Foot, 2(4):185--194, 1992.Google ScholarGoogle ScholarCross RefCross Ref
  5. M. Chen, B. Huang, and Y. Xu. Intelligent shoes for abnormal gait detection. In ICRA, pages 2019--2024, 2008.Google ScholarGoogle Scholar
  6. F. Dabiri, A. Vahdatpour, H. Noshadi, H. Hagopian, and M. Sarrafzadeh. Electronic orthotics shoe: Preventing ulceration in diabetic patients. In EMBS, Aug. 2008.Google ScholarGoogle ScholarCross RefCross Ref
  7. T. Fahrni, M. Kuhn, P. Sommer, R. Wattenhofer, and S. Welten. Sundroid: Solar Radiation Awareness with Smartphones. In Ubicomp, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. R. Ganti, N. Pham, H. Ahmadi, S. Nangia, and T. Abdelzaher. GreenGPS: A participatory sensing fuel-efficient maps application. In Proceedings of the 8th international conference on Mobile systems, applications, and services, pages 151--164, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. M. Hannula, A. Sakkinen, and A. Kylmanen. Development of emfi-sensor based pressure sensitive insole for gait analysis. In International Workshop on Medical Measurement and Applications (MEMEA), pages 1--3, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  10. G. Hegewald. Ganganalytische Bestimmung und Bewertung der Druckverteilung unterm Fuss und von Gelenkwinkelverläufen. Ph.d. thesis, Humboldt University Berlin, 1999.Google ScholarGoogle Scholar
  11. Interlink Electronics. Force Sensing Resistors - Integration Guide. http://www.interlinkelec.com/, Sept 2010.Google ScholarGoogle Scholar
  12. M. Lord. Foot pressure measurement: A review of methodology. Journal of Biomedical Engineering, 3(2):91--99, 1981.Google ScholarGoogle ScholarCross RefCross Ref
  13. E. Miluzzo, N. D. Lane, K. Fodor, R. Peterson, H. Lu, M. Musolesi, S. B. Eisenman, X. Zheng, and A. T. Campbell. Sensing meets Mobile Social Networks: The Design, Implementation and Evaluation of the CenceMe Application. In SenSys, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. S. J. Morris and J. A. Paradiso. Shoe-integrated sensor system for wireless gait analysis and real-time feedback. In Joint EMBS/BMES, 2004.Google ScholarGoogle Scholar
  15. A. Randolph, M. Nelson, M. deAraujo, R. Perez-Millan, and T. Wynn. Use of computerized insole sensor system to evaluate the efficacy of a modified ankle-foot orthosis for redistributing heel pressures. Archives of physical medicine and rehabilitation, 80(7):801--804, 1999.Google ScholarGoogle Scholar
  16. S. Reddy, K. Shilton, G. Denisov, C. Cenizal, D. Estrin, and M. Srivastava. Biketastic: Sensing and Mapping for Better Biking. In CHI, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. R. Soames, C. Blake, J. Stott, A. Goodbody, and D. Brewerton. Measurement of pressure under the foot during function. Medical and Biological Engineering and Computing, 1982.Google ScholarGoogle ScholarCross RefCross Ref
  18. D. Trossen and D. Pavel. Building a ubiquitous platform for remote sensing using smartphones. In MobiQuitous, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. University of Waterloo CA. Smart Orthotics. http://www.engineering.uwaterloo.ca/~jgorchyn/, Sept 2010.Google ScholarGoogle Scholar
  20. A. Veves, H. Murray, M. Young, and A. Boulton. The risk of foot ulceration in diabetic patients with high foot pressure: a prospective study. Diabetologia, 35:660--663, 1992.Google ScholarGoogle ScholarCross RefCross Ref

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      • Published in

        cover image ACM Conferences
        mHealthSys '11: Proceedings of the First ACM Workshop on Mobile Systems, Applications, and Services for Healthcare
        November 2011
        48 pages
        ISBN:9781450306843
        DOI:10.1145/2064942

        Copyright © 2011 ACM

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        Publication History

        • Published: 1 November 2011

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