Skip to main content
SpringerLink
Log in

Clinical assessment of dynamic coefficient of friction effects in shoe-sole trituration of patients with drop foot

  • Scientific Paper
  • Published:
Australasian Physical & Engineering Sciences in Medicine Aims and scope Submit manuscript

Abstract

The aim of this study was examining the effect of human factors such as plantar friction, contact period time, and impulse on shoe-sole trituration of drop foot patients. Twenty-five patients with drop foot and twenty normal subjects were recruited in the study. The force plate and its related software’s recorded human factor (coefficient of friction, ground reaction force, time of stance phase) as time dependent parameters. Dynamic coefficient of friction patterns were categorized based on their magnitude versus time when the longitudinal axis of the sole was plotted as the Y-axis and the transverse axis of the sole as X-axis during stance phase. The result of this research indicated that the average coefficient of friction among drop foot patients is 77.53 % (p value <0.05) lower than the normal subjects. Also the time of stance phase among drop foot patients is 7.56 % (p value <0.05) greater than normal subjects. There is no difference in the peaks, of vertical ground reaction force between normal and control group. The findings of this research revealed that the time of stance phase has a key role in shoe-sole trituration of patients with drop foot.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  1. Mahboobina A, Chama R, Piazzab SJ (2010) The impact of a systematic reduction in shoe–floor friction on heel contact walking kinematics: a gait simulation approach. J Biomech 43(8):1532–1539

    Article  Google Scholar 

  2. Ramstrand N, Thuesen AH, Nielsen DB, Rusaw D (2010) Effects of an unstable shoe construction on balance in women aged over 50 years. Clin Biomech 25(5):455–460

    Article  Google Scholar 

  3. Jamshidi N, Rostami M, Najarian S, Menhaj MB, Saadatnia M, Salaami F (2009) Assessment of ground reaction forces of steppage gait in comparison to normal gait. J Muscoskel Res 12(1):45–52

    Article  Google Scholar 

  4. Jamshidi N, Rostami M, Najarian N, Menhaj MB, Saadatnia M, Salaami F (2010) Centre of pressure trajectory differences between normal and steppage gait. J Res Med Sci 15(1):33–40

    PubMed  Google Scholar 

  5. Jamshidi N, Hanife H, Rostami M, Najarian S, Menhaj MB, Saadatnia M, Salaami F (2010) Modelling the interaction of ankle-foot orthosis and foot by finite element methods to design optimized sole in steppage gait. J Med Eng Tech 34(2):116–123

    Article  CAS  Google Scholar 

  6. Jamshidi N, Rostami M, Najarian S, Menhaj MB, Saadatnia M, Salaami F (2009) Modeling of human walking to optimize the function of ankle foot orthosis in Guillan-Barre patients with drop foot. SMJ 50(4):412–417

    CAS  Google Scholar 

  7. Tsai YJ, Powers CM (2008) The influence of footwear sole hardness on slip initiation in young adults. J Forensic Sci 53(4):884–888

    Article  PubMed  Google Scholar 

  8. Redfern MS, Bidanda B (1994) Slip resistance of the shoe-floor interface under biomechanically-relevant conditions. Ergonomics 37(3):511–524

    Article  Google Scholar 

  9. Chang WR, Matz S (2001) The slip resistance of common footwear materials measured with two slip meters. Appl Ergon 32(6):549–558

    Article  PubMed  CAS  Google Scholar 

  10. Gronqvist R (1995) Mechanisms of friction and assessment of slip resistance of new and used footwear soles on contaminated floors. Ergonomics 28:224–241

    Article  Google Scholar 

  11. Manning DP, Jones C (2001) The effect of roughness, floor polish, water, oil and ice on underfoot friction: current safety footwear solings are less slip resistant than microcellular polyurethane. Appl Ergon 32(2):185–196

    Article  PubMed  CAS  Google Scholar 

  12. Li KW, Chen CJ (2004) The effect of shoe soling tread groove width on the coefficient of friction with different sole materials, floors, and contaminants. Appl Ergon 35(6):499–507

    Article  PubMed  Google Scholar 

  13. Li KW, Chen CJ, Lin CH, Hsu YW (2006) Relationship between measured friction coefficients and two tread groove design parameters for footwear pads. Tsinghua Sci Technol 11(6):712–719

    Article  Google Scholar 

  14. Beschorner KE (2008) Development of a computational model for shoe-floor-contaminant friction. Doctor of Philosophy, University of Pittsburgh, Pittsburgh

    Google Scholar 

  15. Hanson JP, Redfern MS, Mazumdar M (1999) Predicting slips and falls considering required and available friction. Ergonomics 42(12):1619–1633

    Article  PubMed  CAS  Google Scholar 

  16. Skiba R, Kuschefski A, Cziuk N (1987) Entwicklung eines normgerechten prufverfahrens zur ermittlung der gleitsicherheit von schuhsohlen, forschung fb 526 Schriftenreihe der Bundesanstalt fur Arbeitsschutz

  17. DIN 51130 (2004) Testing of floor coverings; determination of the anti-slip-properties; workrooms and fields of activities with slip danger; walking method; ramp test. G.N.S

  18. Redfern MS, Marcotte A, Chaffin DB (1990) A dynamic coefficient of friction (COF) measurement device for shoe/floor interface testing. J Saf Res 12:61–65

    Article  Google Scholar 

  19. Andres RO, Chaffin DB (1985) Ergonomic analysis of measurement devices. Ergonomics 28:1065–1079

    Article  Google Scholar 

  20. Perkins FJ, Wilson MP (1983) Slip resistance testing of shoes new developments. Ergonomics 26:83–99

    Article  Google Scholar 

  21. Redfern MS, Adams PS (1988) The effect of vertical force on static coefficients of friction. In: Proceedings of the Human Factors Society of Canada

  22. Strandberg L (1983) On accident analysis and slip-resistance measurement. Ergonomics 26:11–32

    Article  PubMed  CAS  Google Scholar 

  23. Nakanishi Y, Higaki H, Takashima T, Umeno T, Shimoto K, Okamoto T (2007) Change in gait by footwear. J Biomech Sci Eng 2(4):228–236

    Article  Google Scholar 

  24. BioWare software 2008 [Online] Available at: http://www.johnmorris.com.au/ssl/store/zcust_displayproduct.asp?id=96602. Accessed 10 Apr 2008

  25. Bowden FP, Tabor D (2001) The friction and lubrication of solid. Oxford University Press, Oxford

    Google Scholar 

  26. Miller CA, Verstraete MC (1999) A mechanical energy analysis of gait initiation. Gait Posture 9(3):158–166

    Article  PubMed  CAS  Google Scholar 

  27. Chang WR (1998) The effect of surface roughness on dynamic friction between neolite and quarry tile. Saf Sci 29:89–105

    Article  Google Scholar 

  28. Chang WR (1999) The effect of surface roughness on the measurement of slip resistance. Int J Ind Ergon 24:299–313

    Article  Google Scholar 

  29. Chang WR (2001) The effect of surface roughness and contaminant on the dynamic friction of porcelain tile. Appl Ergon 32(2):173–184

    Article  PubMed  CAS  Google Scholar 

  30. Chang WR (2002) The effects of slip criterion and time on friction measurements. Saf Sci 40(7–8):593–611

    Article  Google Scholar 

  31. Chang WR (2004) Preferred surface microscopic geometric features on floors as potential interventions for slip and fall accidents on liquid contaminated surfaces. J Saf Res 35(1):71–79

    Article  Google Scholar 

  32. Chang WR, Gronqvist R, Hirvonen M, Matz S (2004) The effect of surface waviness on friction between neolite and quarry tiles. Ergonomics 47(8):890–906

    Article  PubMed  Google Scholar 

  33. Manning DP, Shannon HS (1981) Slipping accidents causing low-back pain in a gearbox factory. Spine 6(1):70–72

    Article  PubMed  CAS  Google Scholar 

  34. Troup DG, Martin JW, Lloyd DC (1981) Back pain in industry, a prospective survey. Spine 6(1):61–69

    Article  PubMed  CAS  Google Scholar 

  35. Anderson R, Langerhof E (1983) Accident data in the new Swedish information system on occupational injuries. Ergonomics 26:33–42

    Article  Google Scholar 

Download references

Acknowledgments

The authors gratefully acknowledge the Center of Excellence in Biomedical Engineering of Iran, and the Isfahan Sport Administration, Sport Championship Center for their help in conducting this project.

Author information

Authors and Affiliations

  1. Faculty of Engineering, Department of Biomedical Engineering, University of Isfahan, HezarJerib.st, P.O. Box 81746-73441, Isfahan, Iran

    Jamshidi Nima

  2. Faculty of Biomedical Engineering, Department of Biomechanics, Politecnico di Milano, Milan, Italy

    Salami Firooz

Authors
  1. Jamshidi Nima
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Salami Firooz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jamshidi Nima.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Nima, J., Firooz, S. Clinical assessment of dynamic coefficient of friction effects in shoe-sole trituration of patients with drop foot. Australas Phys Eng Sci Med 35, 187–191 (2012). https://doi.org/10.1007/s13246-012-0144-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13246-012-0144-2

Keywords

Search

Navigation