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-
1
Bus SA, Ulbrecht JS, Cavanagh PR: Pressure relief and load redistribution by custom-made insoles in diabetic patients with neuropathy and foot deformity. Clin Biomech 19: 629, 2004.
-
2
Tsung BY, Zhang M, Mak AF, et al: Effectiveness of insoles on plantar pressure redistribution. J Rehabil Res Dev 41: 767, 2004.
-
3
Netten JJ, Jannink MJA, Hijmans JM: Use and usability of custom-made orthopedic shoes. J Rehabil Res Dev 47: 73, 2010.
-
4
Ibrahim M, El Hilaly R, Taher M, et al: A pilot study to assess the effectiveness of orthotic insoles on the reduction of plantar soft tissue strain. Clin Biomech 28: 68, 2013.
-
5
Kato H, Takada T, Kawamura T, et al: The reduction and redistribution of plantar pressures using foot orthoses in diabetic patients. Diabetes Res Clin Pract 31: 115, 1996.
-
6
Ashry HR, Lavery LA, Murdoch DP, et al: Effectiveness of diabetic insoles to reduce foot pressures. J Foot Ankle Surg 36: 268, 1997.
-
7
Lord M, Hosein R: Pressure redistribution by molded inserts in diabetic footwear: a pilot study. J Rehabil Res Dev 31: 214, 1994.
-
8
Owings TM, Woerner JL, Frampton JD, et al: Custom therapeutic insoles based on both foot shape and plantar pressure measurement provide enhanced pressure relief. Diabetes Care 31: 839, 2008.
-
9
Laughton C, McClay Davis I, Williams DS: A comparison of four methods of obtaining a negative impression of the foot. JAPMA 92: 261, 2002.
-
10
Lee YH, Hong WH: Effects of shoe inserts and heel height on foot pressure, impact force, and perceived comfort during walking. Appl Ergon 36: 355, 2005.
-
11
Witana CP, Goonetilleke RS, Xiong S, et al: Effects of surface characteristics on the plantar shape of feet and subjects' perceived sensations. Appl Ergon 40: 267, 2009.
-
12
Xiong S, Goonetilleke RS, Zhao J, et al: Foot deformations under different load-bearing conditions and their relationships to stature and body weight. Anthropol Sci 117: 77, 2009.
-
13
Cheung TM, Zhang M: Parametric design of pressure-relieving foot orthosis using statistics-based finite element method. Med Eng Phys 30: 269, 2008.
-
14
Han H, Nam Y, Choi K: Comparative analysis of 3D body scan measurements and manual measurements of size Korea adult females. Int J Ind Ergon 40: 530, 2010.
-
15
Lin YL, Wang MJ: Automated body feature extraction from 2D images. Expert Syst Appl 38: 2585, 2011.
-
16
De Mits S, Coorevits P, De Clercq D, et al: Reliability and validity of the INFOOT three-dimensional foot digitizer for patients with rheumatoid arthritis. JAPMA 101: 198, 2011.
-
17
Telfer S, Woodburn J: The use of 3D surface scanning for the measurement and assessment of the human foot. J Foot Ankle Res 3: 1, 2010.
-
18
Witana CP, Xiong S, Zhao J, et al: Foot measurement from three-dimensional scans: a comparision and evaluation of different methods. Int J Ind Ergon 36: 789, 2006.
-
19
Carroll M, Annabell ME, Rome K: Reliability of capturing foot parameters using digital scanning and the neutral suspension casting technique. J Foot Ankle Res 4: 1, 2011.
-
20
Papuga MO, Burke JR: The reliability of the associate platinum digital foot scanner in measuring previously developed footprint characheristics: a technical note. J Manipulative Physiol Ther 34: 114, 2011.
-
21
Yu CY, Tu HH: Foot surface area database and estimation formula. Appl Ergon 40: 767, 2009.
-
22
Mauch M, Grau S, Krauss I, et al: Foot morphology of normal, underweight and overweight children. Int J Obes 32: 1068, 2008.
-
23
Lu JM, Wang MJ, Mollard R:The effect of arm posture on the scan-derived measurements. Appl Ergon 41: 236, 2010.
-
24
Crabtree P, Dhokia VG, Newman ST, et al: Manufacturing methodology for personalised symptom-specific sports insoles. Robot Comput Integr Manuf 25: 972, 2009.
-
25
Paton J, Graham B, Jones R, et al: Effectiveness of insoles used for the prevention of ulceration in the neuropathic diabetic foot: a systematic review. J Diabetes Complication 25: 52, 2011.
-
26
Mohamed O, Cerny K, Rohek L, et al: The effects of Plastazote and Aliplast/Plastazote orthoses on plantar pressure in elderly persons with diabetic neuropathy. J Prosthet Orthot 16: 55, 2004.
Analysis of Insole Geometry and Deformity by Using a Three-Dimensional Image Processing Technique: A Preliminary Study
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Background:
Accurate representation of the insole geometry is crucial for the development and performance evaluation of foot orthoses designed to redistribute plantar pressure, especially for diabetic patients.
Methods:
Considering the limitations in the type of equipment and space available in clinical practices, this study adopted a simple portable three-dimensional (3-D) desktop scanner to evaluate the 3-D geometry of an orthotic insole and the corresponding deformities after the insole has been worn. The shape of the insole structure along horizontal cross sections is defined with 3-D scanning and image processing. Accompanied by an in-shoe pressure measurement system, plantar pressure distribution in four foot regions (hallux, metatarsal heads, midfoot, and heel) is analyzed and evaluated for insole deformity.
Results:
Insole deformities are quantified across the four foot regions. The hallux region tends to show the greatest changes in shape geometry (17%–50%) compared with the other foot regions after 2 months of insole wear. As a result of insole deformities, plantar peak pressures change considerably (–4.3% to +69.5%) during the course of treatment.
Conclusions:
Changes in shape geometry of the insoles could be objectively quantified with 3-D scanning techniques and image processing. This investigation finds that, in general, the design of orthotic insoles may not be adequate for diabetic individuals with similar foot problems. The drastic changes in the insole shape geometry and cross-sectional areas during orthotic treatment may reduce insole fit and conformity. An inadequate insole design may also affect plantar pressure reduction. The approach proposed herein, therefore, allows for objective quantification of insole shape geometry, which results in effective and optimal orthotic treatment.
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