Agreement and reliability of magnetic, angular rate, and gravity (MARG) sensors to assess multiple body segment's external loads during off-road running. (September 2022)

• Record Type: Journal Article
• Authors: Rojas-Valverde, Daniel; Pino-Ortega, José; Timón, Rafael; Gutiérrez-Vargas, Randall; Sánchez-Ureña, Braulio; Olcina, Guillermo J
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 236:Number 3(2022)
• Page Start: 179
• Page End: 186
• Publication Date: 2022-09
• Subjects: Technology -- inertial measurement devices -- external load -- physical demands -- endurance; Sports sciences -- Periodicals; Sporting goods -- Design and construction -- Periodicals; Sports -- Technological innovations -- Periodicals; Biomechanics -- Periodicals; 613.71
• DOI: 10.1177/1754337121996986
• Languages: English
• ISSNs: 1754-3371

Abstract

The extensive use of wearable sensors in sport medicine, exercise medicine, and health has increased the interest in their study. That is why it is necessary to test these technologies' efficiency, effectiveness, agreement, and reliability in different settings. Consequently, the purpose of this article was to analyze the magnetic, angular rate, and gravity (MARG) sensor's test-retest agreement and reliability when assessing multiple body segments' external loads during off-road running. A total of 18 off-road runners (38.78 ± 10.38 years, 73.24 ± 12.6 kg, 172.17 ± 9.48 cm) ran two laps (1st and 2nd Lap) of a 12 km circuit wearing six MARG sensors. The sensors were attached to six different body segments: left (MPLeft ) and right (MPRight ) malleolus peroneus, left (VLLeft ) and right (VLRight ) vastus lateralis, lumbar (L1 -L3 ), and thorax (T2 -T4 ) using a special neoprene suit. After a principal component analysis (PCA) was performed, the total data set variance of all body segments was represented by 44.08%–70.64% for the 1st PCA factor considering two variables, Player LoadRT and Impacts, on L1 -L3, respectively. These two variables were chosen among three total accelerometry-based external load indicators (ABELIs) to perform the agreement and reliability tests due to their relevance based on PCAs for each body segment. There were no significant differences between laps in the Player LoadRT or Impacts ( p > 0.05, trivial ). The intraclass correlation and lineal correlation showed a substantial to almost perfect over-time test consistency assessed via reliability in both Player LoadRT and Impacts. Bias and t -test assessments showed good agreement between Laps. It can be concluded that MARGs sensors offer significant test re-test reliability and good agreement when assessing off-road kinematics in the six different body segments.