Assessment of Stability of MIMU Probes to Skin-Marker-Based Anatomical Reference Frames During Locomotion Tasks: Effect of Different Locations on the Lower Limb.

MIMU stability gait locomotor tasks rehabilitation skin-mounted sensors wearable sensors

Journal

Frontiers in bioengineering and biotechnology
ISSN: 2296-4185
Titre abrégé: Front Bioeng Biotechnol
Pays: Switzerland
ID NLM: 101632513

Informations de publication

Date de publication:
2021
Historique:
received: 07 06 2021
accepted: 09 07 2021
entrez: 10 1 2022
pubmed: 11 1 2022
medline: 11 1 2022
Statut: epublish

Résumé

Soft tissue artefacts (STAs) undermine the validity of skin-mounted approaches to measure skeletal kinematics. Magneto-inertial measurement units (MIMU) gained popularity due to their low cost and ease of use. Although the reliability of different protocols for marker-based joint kinematics estimation has been widely reported, there are still no indications on where to place MIMU to minimize STA. This study aims to find the most stable positions for MIMU placement, among four positions on the thigh, four on the shank, and three on the foot. Stability was investigated by measuring MIMU movements against an anatomical reference frame, defined according to a standard marker-based approach. To this aim, markers were attached both on the case of each MIMU (technical frame) and on bony landmarks (anatomical frame). For each MIMU, the nine angles between each versor of the technical frame with each versor of the corresponding anatomical frame were computed. The maximum standard deviation of these angles was assumed as the instability index of MIMU-body coupling. Six healthy subjects were asked to perform barefoot gait, step negotiation, and sit-to-stand. Results showed that (1) in the thigh, the frontal position was the most stable in all tasks, especially in gait; (2) in the shank, the proximal position is the least stable, (3) lateral or medial calcaneus and foot dorsum positions showed equivalent stability performances. Further studies should be done before generalizing these conclusions to different motor tasks and MIMU-body fixation methods. The above results are of interest for both MIMU-based gait analysis and rehabilitation approaches using wearable sensors-based biofeedback.

Identifiants

pubmed: 35004633
doi: 10.3389/fbioe.2021.721900
pii: 721900
pmc: PMC8727529
doi:

Types de publication

Journal Article

Langues

eng

Pagination

721900

Informations de copyright

Copyright © 2021 Scalera, Ferrarin, Marzegan and Rabuffetti.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

J Bone Joint Surg Am. 1953 Jul;35-A(3):543-58
pubmed: 13069544
Sensors (Basel). 2011;11(2):1489-525
pubmed: 22319365
Med Biol Eng Comput. 2010 Jan;48(1):17-25
pubmed: 19911214
Gait Posture. 2005 Feb;21(2):212-25
pubmed: 15639400
Clin Biomech (Bristol, Avon). 1996 Mar;11(2):90-100
pubmed: 11415604
J Biomech. 2014 Jan 22;47(2):476-81
pubmed: 24287399
Physiol Meas. 2008 Apr;29(4):N21-31
pubmed: 18401071
Sensors (Basel). 2012;12(2):2255-83
pubmed: 22438763
Gait Posture. 2008 Nov;28(4):588-95
pubmed: 18502130
Sensors (Basel). 2020 Jan 26;20(3):
pubmed: 31991862
Clin Biomech (Bristol, Avon). 2005 Mar;20(3):320-9
pubmed: 15698706
Gait Posture. 2018 Oct;66:76-82
pubmed: 30170137
Eur J Phys Rehabil Med. 2015 Apr;51(2):171-84
pubmed: 25184798
Gait Posture. 2010 Jan;31(1):1-8
pubmed: 19853455
IEEE Trans Neural Syst Rehabil Eng. 2016 Jul;24(7):764-73
pubmed: 26259246
Gait Posture. 2017 Oct;58:252-260
pubmed: 28825997
Proc Inst Mech Eng H. 2019 Mar;233(3):342-353
pubmed: 30706762
Gait Posture. 2011 Jul;34(3):432-4
pubmed: 21700462
Sensors (Basel). 2014 Oct 09;14(10):18625-49
pubmed: 25302810
Sensors (Basel). 2018 Mar 15;18(3):
pubmed: 29543747
Sensors (Basel). 2010;10(12):11556-65
pubmed: 22163542
Gait Posture. 2018 Jun;63:124-138
pubmed: 29730488
Sci Data. 2019 Dec 6;6(1):309
pubmed: 31811148
Sports Biomech. 2021 Apr 26;:1-9
pubmed: 33896368
J Biomech. 2017 Sep 6;62:5-13
pubmed: 28259462
Phys Ther Rev. 2010 Dec;15(6):462-473
pubmed: 23565045
Arch Phys Med Rehabil. 2017 Apr;98(4):622-630.e3
pubmed: 27965005
J Biomech. 2017 Sep 6;62:1-4
pubmed: 28923393
J Biomech. 2014 Jul 18;47(10):2354-61
pubmed: 24818796
J Biomech. 2015 Nov 26;48(15):4166-4172
pubmed: 26555716
J Biomech. 1991;24(10):877-86
pubmed: 1744146

Auteurs

Giovanni Marco Scalera (GM)

IRCCS Fondazione Don Carlo Gnocchi, Milano, Italy.

Maurizio Ferrarin (M)

IRCCS Fondazione Don Carlo Gnocchi, Milano, Italy.

Alberto Marzegan (A)

IRCCS Fondazione Don Carlo Gnocchi, Milano, Italy.

Marco Rabuffetti (M)

IRCCS Fondazione Don Carlo Gnocchi, Milano, Italy.

Classifications MeSH