Treffer: Validation of Alogo Move Pro: A GPS-Based Inertial Measurement Unit for the Objective Examination of Gait and Jumping in Horses.

Title:
Validation of Alogo Move Pro: A GPS-Based Inertial Measurement Unit for the Objective Examination of Gait and Jumping in Horses.
Authors:
Guyard KC; Information Science Institute GSEM/CUI, University of Geneva, 1227 Carouge, Switzerland., Montavon S; Veterinary Department of the Swiss Armed Force, 3003 Berne, Switzerland., Bertolaccini J; Information Science Institute GSEM/CUI, University of Geneva, 1227 Carouge, Switzerland., Deriaz M; HES-SO/HEG Genève, 1227 Carouge, Switzerland.
Source:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Apr 22; Vol. 23 (9). Date of Electronic Publication: 2023 Apr 22.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Imprint Name(s):
Original Publication: Basel, Switzerland : MDPI, c2000-
MeSH Terms:
Gait* , Software*, Animals ; Azithromycin ; Biomechanical Phenomena ; Horses ; Geographic Information Systems
References:
Sensors (Basel). 2018 Mar 13;18(3):. (PMID: 29534022)
Animals (Basel). 2022 Oct 17;12(20):. (PMID: 36290189)
Equine Vet J. 2014 Mar;46(2):233-8. (PMID: 23802646)
Animals (Basel). 2023 Jan 24;13(3):. (PMID: 36766279)
Vet J. 2018 Apr;234:11-23. (PMID: 29680381)
Equine Vet J Suppl. 2010 Nov;(38):417-24. (PMID: 21059039)
Equine Vet J. 2017 Sep;49(5):567-569. (PMID: 28804943)
Biochem Med (Zagreb). 2015 Jun 05;25(2):141-51. (PMID: 26110027)
J Equine Vet Sci. 2021 Jun;101:103454. (PMID: 33993950)
Prev Vet Med. 2013 Nov 1;112(3-4):387-400. (PMID: 24125697)
Contributed Indexing:
Keywords: GPS sensor; IMU; biomechanics; gait analysis; horse; validation
Substance Nomenclature:
83905-01-5 (Azithromycin)
Entry Date(s):
Date Created: 20230513 Date Completed: 20230525 Latest Revision: 20230525
Update Code:
20250114
PubMed Central ID:
PMC10181332
DOI:
10.3390/s23094196
PMID:
37177397
Database:
MEDLINE

Weitere Informationen

Quantitative information on how well a horse clears a jump has great potential to support the rider in improving the horse's jumping performance. This study investigated the validation of a GPS-based inertial measurement unit, namely Alogo Move Pro, compared with a traditional optical motion capture system. Accuracy and precision of the three jumping characteristics of maximum height (Zmax), stride/jump length (lhorz), and mean horizontal speed (vhorz) were compared. Eleven horse-rider pairs repeated two identical jumps (an upright and an oxer fence) several times ( n = 6 to 10) at different heights in a 20 × 60 m tent arena. The ground was a fiber sand surface. The 24 OMC (Oqus 7+, Qualisys) cameras were rigged on aluminum rails suspended 3 m above the ground. The Alogo sensor was placed in a pocket on the protective plate of the saddle girth. Reflective markers placed on and around the Alogo sensor were used to define a rigid body for kinematic analysis. The Alogo sensor data were collected and processed using the Alogo proprietary software; stride-matched OMC data were collected using Qualisys Track Manager and post-processed in Python. Residual analysis and Bland-Altman plots were performed in Python. The Alogo sensor provided measures with relative accuracy in the range of 10.5-20.7% for stride segments and 5.5-29.2% for jump segments. Regarding relative precision, we obtained values in the range of 6.3-14.5% for stride segments and 2.8-18.2% for jump segments. These accuracy differences were deemed good under field study conditions where GPS signal strength might have been suboptimal.