Literature DB >> 28780187

Validation of a smart shoe for estimating foot progression angle during walking gait.

Haisheng Xia1, Junkai Xu1, Jianren Wang1, Michael A Hunt2, Peter B Shull3.   

Abstract

The foot progression angle is an important measurement related to knee loading, pain, and function for individuals with knee osteoarthritis, however current measurement methods require camera-based motion capture or floor-embedded force plates confining foot progression angle assessment to facilities with specialized equipment. This paper presents the validation of a customized smart shoe for estimating foot progression angle during walking. The smart shoe is composed of an electronic module with inertial and magnetometer sensing inserted into the sole of a standard walking shoe. The smart shoe charges wirelessly, and up to 160h of continuous data (sampled at 100Hz) can be stored locally on the shoe. For validation testing, fourteen healthy subjects were recruited and performed treadmill walking trials with small, medium, and large toe-in (internal foot rotation), small, medium, and large toe-out (external foot rotation) and normal foot progression angle at self-selected walking speeds. Foot progression angle calculations from the smart shoe were compared with measurements from a standard motion capture system. In general, foot progression angle values from the smart shoe closely followed motion capture values for all walking conditions with an overall average error of 0.1±1.9deg and an overall average absolute error of 1.7±1.0deg. There were no significant differences in foot progression angle accuracy across the seven different walking gait patterns. The presented smart shoe could potentially be used for knee osteoarthritis or other clinical applications requiring foot progression angle assessment in community settings or in clinics without specialized motion capture equipment.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Knee osteoarthritis; Sensorized shoe; Wearable sensing

Mesh:

Year:  2017        PMID: 28780187     DOI: 10.1016/j.jbiomech.2017.07.012

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  8 in total

Review 1.  Inertial Measurement Units and Application for Remote Health Care in Hip and Knee Osteoarthritis: Narrative Review.

Authors:  Michael J Rose; Kerry E Costello; Samantha Eigenbrot; Kaveh Torabian; Deepak Kumar
Journal:  JMIR Rehabil Assist Technol       Date:  2022-06-02

2.  Validation of wearable visual feedback for retraining foot progression angle using inertial sensors and an augmented reality headset.

Authors:  Angelos Karatsidis; Rosie E Richards; Jason M Konrath; Josien C van den Noort; H Martin Schepers; Giovanni Bellusci; Jaap Harlaar; Peter H Veltink
Journal:  J Neuroeng Rehabil       Date:  2018-08-15       Impact factor: 4.262

3.  The effect of changing foot progression angle using real-time visual feedback on rearfoot eversion during running.

Authors:  Seyed Hamed Mousavi; Laurens van Kouwenhove; Reza Rajabi; Johannes Zwerver; Juha M Hijmans
Journal:  PLoS One       Date:  2021-02-10       Impact factor: 3.240

4.  Modeling and Prediction of Wearable Energy Harvesting Sliding Shoes for Metabolic Cost and Energy Rate Outside of the Lab.

Authors:  Peter B Shull; Haisheng Xia
Journal:  Sensors (Basel)       Date:  2020-12-03       Impact factor: 3.576

5.  Foot progression angle estimation using a single foot-worn inertial sensor.

Authors:  Frank J Wouda; Stephan L J O Jaspar; Jaap Harlaar; Bert-Jan F van Beijnum; Peter H Veltink
Journal:  J Neuroeng Rehabil       Date:  2021-02-17       Impact factor: 4.262

6.  A Deep Learning Method for Foot Progression Angle Detection in Plantar Pressure Images.

Authors:  Peter Ardhianto; Raden Bagus Reinaldy Subiakto; Chih-Yang Lin; Yih-Kuen Jan; Ben-Yi Liau; Jen-Yung Tsai; Veit Babak Hamun Akbari; Chi-Wen Lung
Journal:  Sensors (Basel)       Date:  2022-04-05       Impact factor: 3.576

Review 7.  Flexible, Stretchable Sensors for Wearable Health Monitoring: Sensing Mechanisms, Materials, Fabrication Strategies and Features.

Authors:  Yan Liu; Hai Wang; Wei Zhao; Min Zhang; Hongbo Qin; Yongqiang Xie
Journal:  Sensors (Basel)       Date:  2018-02-22       Impact factor: 3.576

Review 8.  Validity and reliability of wearable inertial sensors in healthy adult walking: a systematic review and meta-analysis.

Authors:  Dylan Kobsar; Jesse M Charlton; Calvin T F Tse; Jean-Francois Esculier; Angelo Graffos; Natasha M Krowchuk; Daniel Thatcher; Michael A Hunt
Journal:  J Neuroeng Rehabil       Date:  2020-05-11       Impact factor: 4.262

  8 in total

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