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Plantar ROI characterization during the stance phase of gait based on a low-cost pressure acquisition platform

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Abstract

Plantar Region of Interest (ROI) detection is important for the early diagnosis and treatment of morphologic defects of the foot and foot bionic research. Conventional methods have employed complex procedures and expensive instruments which prohibit their widespread use in healthcare. In this paper an automatic plantar ROIs detection method using a customized low-cost pressure acquisition device is proposed. Plantar pressure data and 3D motion capture data were collected from 28 subjects (14 healthy subjects and 14 subjects with hallux valgus). The maximal inter-frame difference during the stance phase was calculated. Consequently, the ROIs were defined by the first-order difference in combination with prior anatomic knowledge. The anatomic locations were determined by the maximal inter-frame difference and second maximal inter-frame difference, which nearly coincided. Our system can achieve average recognition accuracies of 92.90%, 89.30%, 89.30%, 92.90%, 92.90%, and 89.30% for plantar ROIs hallux and metatarsi I-V, respectively, as compared with the annotations using the 3D motion capture system. The maximal difference of metatarsus heads II-V, and the impulse of the medial and lateral heel features made a significant contribution to the classification of hallux valgus and healthy subjects with = 80% sensitivity and specificity. Furthermore, the plantar pressure acquisition system is portable and convenient to use, thus can be used in home- or community- based healthcare applications.

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References

  1. Mølgaard C, Lundbye-Christensen S, Simonsen O. High prevalence of foot problems in the Danish population: A survey of causes and associations. The Foot, 2010, 20, 7–11.

    Article  Google Scholar 

  2. Dunn J E, Link C L, Felson D T, Crincoli M G, Keysor J J, McKinlay J B. Prevalence of foot and ankle conditions in a multiethnic community sample of older adults. American Journal of Epidemiology, 2004, 159, 491–498.

    Article  Google Scholar 

  3. Burzykowski T, Molenberghs G, Abeck D, Haneke E, Hay R, Katsambas A, Roseeuw D, van de Kerkhof P, van Aelst R, Marynissen G. High prevalence of foot diseases in Europe: results of the Achilles Project. Mycoses, 2003, 46, 496–505.

    Article  Google Scholar 

  4. Happy feet clinic, [2012-3-8], http://www.happyfeetclinic.com/

  5. Diabetes India, [2012-3-8], http://www.diabetesindia.com/diabetes/feet_long_time.htm

  6. Ramanathan A K, Abboud R J. Clubfoot assessment: The complete IMAR footprint. Foot and Ankle, 2010, 24, 303–308.

    Google Scholar 

  7. Nyska M, Liberson A, Mccabe C, Linge K, Klenerman L. Plantar foot pressure distribution in patients with hallux valgus treated by distal soft tissure procedure and proximal metatarsal osteotomy. Foot and Ankle Surgery, 1998, 4, 35–41.

    Article  Google Scholar 

  8. Martínez-Nova A, Sánchez-Rodríguez R, Përez-Soriano P, Llana-Belloch S, Leal-Muro A, Pedrera-Zamorano J D. Plantar pressure determinants in mild hallux valgus. Gait & Posture, 2010, 32, 425–427.

    Article  Google Scholar 

  9. Aminian A, Sangeorzan B J. The anatomy of cavus foot deformity. Foot and Ankle Clinics, 2008, 13, 191–198.

    Article  Google Scholar 

  10. Menz H B, Morris M E. Clinical determinants of plantar forces and pressure during walking in older people. Gait & Posture, 2006, 24, 229–236.

    Article  Google Scholar 

  11. Plank M J. The pattern of forefoot pressure distribution in hallux valgus. The Foot, 1995, 5, 8–14.

    Article  Google Scholar 

  12. Geurts A C, Boonstra T A, Voermans N C, Diender M G, Weerdesteyn V, Bloem B R. Assessment of postural asymmetry in mild to moderate Parkinsonés disease. Gait & Posture, 2011, 33, 143–145.

    Article  Google Scholar 

  13. Rai D V, Aggarwal L M. The study of plantar pressure distribution in normal and pathological foot. Polish Journal of Medical Physics and Engineering, 2006, 12, 25–34.

    Google Scholar 

  14. Huber H, Dutoit M. Dynamic foot-pressure measurement in the assessment of operatively treated clubfeet. The Journal of Bone and Joint Surgery, 2004, 86, 1203–1210.

    Article  Google Scholar 

  15. Teyhen D S, Stoltenberg B E, Collinsworth K M, Giesel C L, Williams D G, Kardouni C H, Molloy J M, Goffar S L, Christie D S, McPoil T. Dynamic plantar pressure parameters associated with static arch height index during gait. Clinical Biomechanics, 2009, 24, 391–396.

    Article  Google Scholar 

  16. Sazonov E S, Bumpus T, Zeigler S, Marocco S. Classification of plantar pressure and heel acceleration patterns using neural networks. Proceedings of IEEE International Joint Conference on Neural Networks, Montreal, QC, Canada, 2005, 3007–3010.

    Google Scholar 

  17. Otter S J, Bowen C J, Young A K. Forefoot plantar pressures in rheumatoid arthritis. Journal of the American Podmiatric Medical Association, 2004, 94, 255–260.

    Article  Google Scholar 

  18. De Cock A, De Clercq D, Willems T, Witvrouw E. Temporal characteristics of foot roll-over during barefoot jogging: Reference data for young adults. Gait & Posture, 2005, 21, 432–439.

    Article  Google Scholar 

  19. De Cock A, Willems T, Witvrouw E, Vanrenterghem J, De Clercq D. A functional foot type classification with cluster analysis based on plantar pressure distribution during jogging. Gait & Posture, 2006, 23, 339–347.

    Article  Google Scholar 

  20. Meyring S, Diehl R R, Milani T L, Hennig E M, Berlit P. Berlit. Dynamic plantar pressure distribution measurements in hemi pareticpatients. Clinical Biomechanics, 1997, 12, 60–65.

    Article  Google Scholar 

  21. Stebbins J A, Harrington M E, Giacomozzi C, Thompson N, Zavatsky A, Theologis T N. Theologis. Assessment of sub-division of plantar pressure measurement in children. Gait & Posture, 2005, 22, 372–376.

    Article  Google Scholar 

  22. Hastings M K, Commean P K, Smith K E, Pilgram T K, Mueller M J. Mueller. Aligning anatomical structure from spiral X-ray computed tomography with plantar pressure data. Clinical Biomechanics, 2003, 18, 877–882.

    Article  Google Scholar 

  23. Deschamps K, Birch I, Mc Innes J, Desloovere K, Matricali G A. Matricali. Inter- and intra-observer reliability of masking in plantar pressure measurement analysis. Gait & Posture, 2009, 30, 379–382.

    Article  Google Scholar 

  24. Mei Z Y, Zhao G R, Wang L. Automated detection of plantar pressure ROIs based on multiple frame data. Proceedings of IEEE 2nd International Symposium on Bioelectronics and Bioinformatics, Suzhou, China, 2011, 1–4.

    Google Scholar 

  25. Giacomozzi C, Macellari V, Leardini A, Benedetti M G. Benedetti. Integrated pressure-force-kinematics measuring system for the characterization of plantar foot loading during locomotion. Medical & Biological Engineering & Computing, 2000, 38, 156–163.

    Article  Google Scholar 

  26. Gu X S. Human Anatomy, 1st ed, Science Press, Beijing, 2004, 45–46. (in Chinese)

    Google Scholar 

  27. FlexiForce force sensor, [2011-10-1], http://www.tekscan.com/flexiforce/flexiforce.html

  28. Peters E J, Urukalo A, Fleischli J G, Lavery L A. Reproducibility of gait analysis variables: One-step versus three-step method of data acquisition. The Journal of Foot & Ankle Surgery, 2002, 41, 206–213.

    Article  Google Scholar 

  29. Waldecker U. Metatarsalgia in hallux valgus deformity: A pedographic analysis. The Journal of Foot & Ankle Surgery, 2002, 41, 300–308.

    Article  Google Scholar 

  30. Thomas S, Barrington R. Hallux valgus. Current Orthopaedics, 2003, 17, 299–307.

    Article  Google Scholar 

  31. Hu G, Yuan S Z. Research on target detection and automatic extraction of region of interest in infrared serial images. Jounal of Software, 2011, 6, 225–232.

    Google Scholar 

  32. Urry S. Plantar pressure-measurement sensors. Measurement Science and Technology, 1999, 10, 16–32.

    Article  Google Scholar 

  33. Liu C, Zhang T, Zhao G, Wen T X, Wang L. Clubfoot pattern recognition towards personalized insole. Proceedings of 2010 International Conference on Body Sensor Networks, Singapore, 2010, 273–276.

    Google Scholar 

  34. Abu-Faraj Z O, Abou-Assi F A, Jaber R K, Khalifeh H A. Characterization of postural stability in a simulated environment of an earthquake using in-shoe plantar pressure measurement. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, Minnesota, USA, 2009, 5243–5246.

    Google Scholar 

  35. Boukhenous S, Attari M. A postural stability analysis by using plantar pressure measurement. Proceedings of the 8th International Multi-Conference on Systems, Signals & Devices, Sousse, Tunisia, 2011, 1–6.

    Google Scholar 

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Authors and Affiliations

  1. Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, P. R. China

    Zhanyong Mei, Guoru Zhao, Qingsong Zhu & Lei Wang

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  1. Zhanyong Mei
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  2. Guoru Zhao
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  3. Qingsong Zhu
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  4. Lei Wang
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Correspondence to Lei Wang.

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The first two authors contributed equally to this paper

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Mei, Z., Zhao, G., Zhu, Q. et al. Plantar ROI characterization during the stance phase of gait based on a low-cost pressure acquisition platform. J Bionic Eng 9, 343–352 (2012). https://doi.org/10.1016/S1672-6529(11)60128-5

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