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Validation of an Automatic Inertial Sensor-Based Methodology for Detailed Barbell Velocity Monitoring during Maximal Paralympic Bench Press

Articolo
Data di Pubblicazione:
2022
Citazione:
(2022). Validation of an Automatic Inertial Sensor-Based Methodology for Detailed Barbell Velocity Monitoring during Maximal Paralympic Bench Press [journal article - articolo]. In SENSORS. Retrieved from https://hdl.handle.net/10446/263215
Abstract:
Current technologies based on inertial measurement units (IMUs) are considered valid and reliable tools for monitoring barbell velocity in strength training. However, the extracted outcomes are often limited to a few velocity metrics, such as mean or maximal velocity. This study aimed at validating a single IMU-based methodology to automatically obtain the barbell velocity full profile as well as key performance metrics during maximal Paralympic bench press. Seven Paralympic powerlifters (age: 30.5 ± 4.3 years, sitting height: 71.6 ± 6.8 cm, body mass: 72.5 ± 16.4 kg, one-repetition maximum: 148.4 ± 38.6 kg) performed four attempts of maximal Paralympic bench press. The barbell velocity profile and relevant metrics were automatically obtained from IMU linear acceleration through a custom-made algorithm and validated against a video-based reference system. The mean difference between devices was 0.00 ± 0.04 m·s−1 with low limits of agreement (<0.09 m·s−1) and moderate-to-good reliability (ICC: 0.55–0.90). Linear regression analysis showed large-to-very large associations between paired measurements (r: 0.57–0.91, p < 0.003; SEE: 0.02–0.06 m·s−1). The analysis of velocity curves showed a high spatial similarity and small differences between devices. The proposed methodology provided a good level of agreement, making it suitable for different applications in barbell velocity monitoring during maximal Paralympic bench press.
Tipologia CRIS:
1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays
Elenco autori:
Rum, Lorenzo; Sciarra, Tommaso; Balletti, Nicoletta; Lazich, Aldo; Bergamini, Elena
Autori di Ateneo:
BERGAMINI Elena
Link alla scheda completa:
https://aisberg.unibg.it/handle/10446/263215
Link al Full Text:
https://aisberg.unibg.it/retrieve/handle/10446/263215/657322/2022_Rum_Sensors_PPL%20barbell%20velocity.pdf
Pubblicato in:
SENSORS
Journal
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Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
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