An evaluation of personalised insoles developed using additive manufacturing

Abstract The aim of the study was to evaluate the short and medium term use of personalised insoles, produced by combining additive manufacturing (AM) with three-dimensional (3-D) foot scanning and computer aided design (CAD) systems. For that, 38 runners (19 pairings) were recruited. The experimental conditions were: personalised and control. The personalised condition consisted of trainers fitted with personalised glove fit insoles manufactured using AM and using foot scans to match the plantar geometry of the feet. The control condition consisted of the same trainers fitted with insoles also manufactured using AM but using scans of the original insole shape. Participants were allocated to one of the experimental conditions and wore the trainers for 3 months. Over this period they attended three laboratory sessions (at months 0, 1.5 and 3) and completed an Activity Diary after each training session. The footwear was evaluated in terms of discomfort and biomechanics. Lower discomfort ratings were found in the heel area (P ≤ 0.05) and for overall fit (P ≤ 0.05), with the personalised insole. However, discomfort was reported under the arch region for both conditions. With regard to the biomechanical data, differences between conditions were detected for ankle dorsiflexion at footstrike (P ≤ 0.05), maximum ankle eversion (P ≤ 0.05) and peak mean pressure under the heel (P ≤ 0.01): the personalised condition had lower values which may reduce injury risk. The personalisation of the geometry of insoles through advances in AM together with 3-D scanning and CAD technologies can provide benefits and has potential.

[1]  I. McClay Davis,et al.  A comparison of four methods of obtaining a negative impression of the foot. , 2002, Journal of the American Podiatric Medical Association.

[2]  Kenneth W. Dalgarno,et al.  Mass Customization of Foot Orthoses for Rheumatoid Arthritis Using Selective Laser Sintering , 2010, IEEE Transactions on Biomedical Engineering.

[3]  Kenneth Getz,et al.  Racial disparities among clinical research investigators. , 2008, American journal of therapeutics.

[4]  Zuhua Jiang,et al.  Pressure thresholds of the human foot: measurement reliability and effects of stimulus characteristics , 2011, Ergonomics.

[5]  M. Rouse,et al.  The Customer Centric Enterprise : Advances in Mass Customization and Personalization , 2003 .

[6]  Ravindra S. Goonetilleke,et al.  Footwear Fit Categorization , 2003 .

[7]  Kenneth Dalgarno.  Mass customisation of foot orthoses for rheumatoid arthritis , 2008 .

[8]  Christine Otway.  A spring in your step , 2008 .

[9]  M. R. Hawes,et al.  Quantitative morphology of the human foot in a North American population. , 1994, Ergonomics.

[10]  Joseph Hamill,et al.  Short-and Long-Term Influences of a Custom Foot Orthotic Intervention on Lower Extremity Dynamics , 2008 .

[11]  B. Nigg,et al.  Changing the texture of footwear can alter gait patterns. , 2005, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[12]  Lee Yung-Hui,et al.  Effects of shoe inserts and heel height on foot pressure, impact force, and perceived comfort during walking. , 2005, Applied ergonomics.

[13]  Bill Vicenzino,et al.  Effect of foot orthoses contour on pain perception in individuals with patellofemoral pain. , 2011, Journal of the American Podiatric Medical Association.

[14]  B. Nigg,et al.  Relationship between plantar pressure distribution under the foot and insole comfort. , 1994, Clinical biomechanics.

[15]  F. Tang,et al.  Effects of total contact insoles on the plantar stress redistribution: a finite element analysis. , 2003, Clinical biomechanics.

[16]  R. B. Davis,et al.  A gait analysis data collection and reduction technique , 1991 .

[17]  A. Hreljac.  Impact and overuse injuries in runners. , 2004, Medicine and science in sports and exercise.

[18]  Shuh-Ping Sun,et al.  Classification and mass production technique for three-quarter shoe insoles using non-weight-bearing plantar shapes. , 2009, Applied ergonomics.

[19]  A. Mündermann,et al.  Development of a reliable method to assess footwear comfort during running. , 2002, Gait & posture.

[20]  A. Mündermann,et al.  Foot orthotics affect lower extremity kinematics and kinetics during running. , 2003, Clinical biomechanics.

[21]  M. T. Gross,et al.  Repeatability of lower extremity kinetics and kinematics for standardized and self-selected running speeds. , 2006, Gait & posture.

[22]  Diane E. Gyi,et al.  Delivering personalised insoles to the high street using additive manufacturing , 2013, Int. J. Comput. Integr. Manuf..

[23]  Der-Baau Perng,et al.  A systematic approach for developing a foot size information system for shoe last design , 2000 .

[24]  B M Nigg,et al.  Relationship between footwear comfort of shoe inserts and anthropometric and sensory factors. , 2001, Medicine and science in sports and exercise.

[25]  Clare E. Milner,et al.  Biomechanical factors associated with tibial stress fracture in female runners. , 2006, Medicine and science in sports and exercise.

[26]  Brigit De Wit,et al.  Biomechanical analysis of the stance phase during barefoot and shod running. , 2000, Journal of biomechanics.

[27]  Joseph Hamill,et al.  Influence of a custom foot orthotic intervention on lower extremity dynamics in healthy runners. , 2006, Clinical biomechanics.