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


Journal

Journal of neuroengineering and rehabilitation
ISSN: 1743-0003
Titre abrégé: J Neuroeng Rehabil
Pays: England
ID NLM: 101232233

Informations de publication

Date de publication:
17 02 2021
Historique:
received: 07 05 2020
accepted: 12 01 2021
entrez: 18 2 2021
pubmed: 19 2 2021
medline: 9 6 2021
Statut: epublish

Résumé

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). 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). 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 33596942
doi: 10.1186/s12984-021-00816-4
pii: 10.1186/s12984-021-00816-4
pmc: PMC7888122
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

37

Références

J Biomech. 2017 Aug 16;61:193-198
pubmed: 28780187
Ann Biomed Eng. 2011 Sep;39(9):2299-312
pubmed: 21674260
Gait Posture. 2018 May;62:1-6
pubmed: 29494998
IEEE Trans Biomed Eng. 2010 Nov;57(11):
pubmed: 20667801
PLoS One. 2013 Dec 02;8(12):e81036
pubmed: 24312522
J Neuroeng Rehabil. 2018 Aug 15;15(1):78
pubmed: 30111337
Am Fam Physician. 2011 Jun 1;83(11):1287-92
pubmed: 21661710
Osteoarthritis Cartilage. 2008 Aug;16(8):883-9
pubmed: 18182310
J Biomech. 2013 Jan 4;46(1):122-8
pubmed: 23146322
Nat Rev Rheumatol. 2011 Feb;7(2):113-22
pubmed: 21289615
IEEE Trans Biomed Eng. 2007 May;54(5):895-902
pubmed: 17518287
Proc Inst Mech Eng H. 2012 Feb;226(2):95-102
pubmed: 22468461
Ann Rheum Dis. 2003 Jul;62(7):644-50
pubmed: 12810427
Clin Biomech (Bristol, Avon). 2018 Aug;57:150-158
pubmed: 28811046
Osteoarthritis Cartilage. 2013 Sep;21(9):1272-80
pubmed: 23973141
Lancet. 1986 Feb 8;1(8476):307-10
pubmed: 2868172
J Biomech. 2020 Jan 23;99:109567
pubmed: 31916999
Biomed Eng Lett. 2018 May 17;8(3):283-290
pubmed: 30603212
Bull World Health Organ. 2003;81(9):646-56
pubmed: 14710506
Gait Posture. 2014;40(1):11-9
pubmed: 24768525
Gait Posture. 2009 Jun;29(4):535-41
pubmed: 19150239
IEEE Trans Biomed Eng. 2020 Mar;67(3):658-666
pubmed: 31150328
IEEE Trans Biomed Eng. 2016 Nov;63(11):2278-2285
pubmed: 26849858
Med Biol Eng Comput. 2005 Jan;43(1):94-101
pubmed: 15742725

Auteurs

Frank J Wouda (FJ)

Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands. frankwouda@gmail.com.

Stephan L J O Jaspar (SLJO)

Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands.

Jaap Harlaar (J)

Department of Rehabilitation Medicine, Amsterdam Movement Sciences, VU University Medical Center, Amsterdam, The Netherlands.
Department of Biomechanical Engineering, Delft University of Technology, Delft, The Netherlands.

Bert-Jan F van Beijnum (BF)

Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands.

Peter H Veltink (PH)

Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH