Literature DB >> 23083421

An evaluation of personalised insoles developed using additive manufacturing.

Andre S Salles1, Diane E Gyi.   

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.

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Year:  2012        PMID: 23083421     DOI: 10.1080/02640414.2012.736629

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  12 in total

1.  Foot Orthosis and Sensorized House Slipper by 3D Printing.

Authors:  Lorenzo Brognara; Massimiliano Fantini; Kavin Morellato; Gabriela Graziani; Nicola Baldini; Omar Cauli
Journal:  Materials (Basel)       Date:  2022-06-08       Impact factor: 3.748

2.  Sample entropy characteristics of movement for four foot types based on plantar centre of pressure during stance phase.

Authors:  Zhanyong Mei; Guoru Zhao; Kamen Ivanov; Yanwei Guo; Qingsong Zhu; Yongjin Zhou; Lei Wang
Journal:  Biomed Eng Online       Date:  2013-10-10       Impact factor: 2.819

3.  Measurements agreement between low-cost and high-level handheld 3D scanners to scan the knee for designing a 3D printed knee brace.

Authors:  Yoann Dessery; Jari Pallari
Journal:  PLoS One       Date:  2018-01-10       Impact factor: 3.240

4.  Ankle-Foot Orthosis Made by 3D Printing Technique and Automated Design Software.

Authors:  Yong Ho Cha; Keun Ho Lee; Hong Jong Ryu; Il Won Joo; Anna Seo; Dong-Hyeon Kim; Sang Jun Kim
Journal:  Appl Bionics Biomech       Date:  2017-07-30       Impact factor: 1.781

Review 5.  Design for Additive Bio-Manufacturing: From Patient-Specific Medical Devices to Rationally Designed Meta-Biomaterials.

Authors:  Amir A Zadpoor
Journal:  Int J Mol Sci       Date:  2017-07-25       Impact factor: 5.923

6.  Satisfaction with ankle foot orthoses in individuals with Charcot-Marie-Tooth disease.

Authors:  Riccardo Zuccarino; Kirsten M Anderson; Michael E Shy; Jason M Wilken
Journal:  Muscle Nerve       Date:  2020-08-26       Impact factor: 3.217

7.  The use of a low cost 3D scanning and printing tool in the manufacture of custom-made foot orthoses: a preliminary study.

Authors:  Colin E Dombroski; Megan E R Balsdon; Adam Froats
Journal:  BMC Res Notes       Date:  2014-07-10

8.  Normal foot loading parameters and repeatability of the Footscan® platform system.

Authors:  Chao Xu; Xin-Xin Wen; Lu-Yu Huang; Lei Shang; Xi-Xia Cheng; Ya-Bo Yan; Wei Lei
Journal:  J Foot Ankle Res       Date:  2017-07-17       Impact factor: 2.303

9.  Effect of custom-made and prefabricated foot orthoses on kinematic parameters during an intense prolonged run.

Authors:  Marina Gil-Calvo; Irene Jimenez-Perez; Jose Ignacio Priego-Quesada; Ángel G Lucas-Cuevas; Pedro Pérez-Soriano
Journal:  PLoS One       Date:  2020-03-26       Impact factor: 3.240

10.  Biomechanical Evaluation and Strength Test of 3D-Printed Foot Orthoses.

Authors:  Kuang-Wei Lin; Chia-Jung Hu; Wen-Wen Yang; Li-Wei Chou; Shun-Hwa Wei; Chen-Sheng Chen; Pi-Chang Sun
Journal:  Appl Bionics Biomech       Date:  2019-12-07       Impact factor: 1.781

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