Literature DB >> 33596942

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

Frank J Wouda1, Stephan L J O Jaspar2, Jaap Harlaar3,4, Bert-Jan F van Beijnum2, Peter H Veltink2.   

Abstract

BACKGROUND: The foot progression angle is an important measure used to help patients reduce their knee adduction moment. Current measurement systems are either lab-bounded or do not function in all environments (e.g., magnetically distorted). This work proposes a novel approach to estimate foot progression angle using a single foot-worn inertial sensor (accelerometer and gyroscope).
METHODS: The approach uses a dynamic step frame that is recalculated for the stance phase of each step to calculate the foot trajectory relative to that frame, to minimize effects of drift and to eliminate the need for a magnetometer. The foot progression angle (FPA) is then calculated as the angle between walking direction and the dynamic step frame. This approach was validated by gait measurements with five subjects walking with three gait types (normal, toe-in and toe-out).
RESULTS: The FPA was estimated with a maximum mean error of ~ 2.6° over all gait conditions. Additionally, the proposed inertial approach can significantly differentiate between the three different gait types.
CONCLUSION: The proposed approach can effectively estimate differences in FPA without requiring a heading reference (magnetometer). This work enables feedback applications on FPA for patients with gait disorders that function in any environment, i.e. outside of a gait lab or in magnetically distorted environments.

Entities:  

Keywords:  Foot progression angle; Inertial sensors; Knee osteoarthritis; Minimal sensing; PCA; Zero Velocity Update

Mesh:

Year:  2021        PMID: 33596942      PMCID: PMC7888122          DOI: 10.1186/s12984-021-00816-4

Source DB:  PubMed          Journal:  J Neuroeng Rehabil        ISSN: 1743-0003            Impact factor:   4.262


  24 in total

1.  Zero-velocity detection --- an algorithm evaluation.

Authors:  Isaac Skog; Peter Händel; John-Olof Nilsson; Jouni Rantakokko
Journal:  IEEE Trans Biomed Eng       Date:  2010-07-26       Impact factor: 4.538

2.  Foot progression angle and the knee adduction moment: a cross-sectional investigation in knee osteoarthritis.

Authors:  D J Rutherford; C L Hubley-Kozey; K J Deluzio; W D Stanish; M Dunbar
Journal:  Osteoarthritis Cartilage       Date:  2008-01-07       Impact factor: 6.576

Review 3.  Body-worn sensor design: what do patients and clinicians want?

Authors:  J H M Bergmann; A H McGregor
Journal:  Ann Biomed Eng       Date:  2011-06-15       Impact factor: 3.934

Review 4.  Conservative biomechanical strategies for knee osteoarthritis.

Authors:  Neil D Reeves; Frank L Bowling
Journal:  Nat Rev Rheumatol       Date:  2011-02       Impact factor: 20.543

5.  Toe-in gait reduces the first peak knee adduction moment in patients with medial compartment knee osteoarthritis.

Authors:  Pete B Shull; Rebecca Shultz; Amy Silder; Jason L Dragoo; Thor F Besier; Mark R Cutkosky; Scott L Delp
Journal:  J Biomech       Date:  2012-11-10       Impact factor: 2.712

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

Authors:  Haisheng Xia; Junkai Xu; Jianren Wang; Michael A Hunt; Peter B Shull
Journal:  J Biomech       Date:  2017-07-25       Impact factor: 2.712

7.  Treatment of knee osteoarthritis.

Authors:  Erika Ringdahl; Sandesh Pandit
Journal:  Am Fam Physician       Date:  2011-06-01       Impact factor: 3.292

8.  The learning process of gait retraining using real-time feedback in patients with medial knee osteoarthritis.

Authors:  Rosie Richards; Martin van der Esch; Josien C van den Noort; Jaap Harlaar
Journal:  Gait Posture       Date:  2018-02-23       Impact factor: 2.840

9.  Knee adduction moment and medial contact force--facts about their correlation during gait.

Authors:  Ines Kutzner; Adam Trepczynski; Markus O Heller; Georg Bergmann
Journal:  PLoS One       Date:  2013-12-02       Impact factor: 3.240

10.  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

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  1 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
  1 in total

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