Validity of a smartphone app using artificial intelligence for the real time measurement of barbell velocity in the bench press exercise.

BALSALOBRE-FERNÁNDEZ, Carlos, XU, Jiaqing, JARVIS, Paul, THOMPSON, Steve, TANNION, Kyran and BISHOP, Chris (2023). Validity of a smartphone app using artificial intelligence for the real time measurement of barbell velocity in the bench press exercise. Journal of Strength and Conditioning Research, 37 (12), e640-e645.

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Abstract

Balsalobre-Fernández, C, Xu, J, Jarvis, P, Thompson, S, Tannion, K, and Bishop, C. Validity of a smartphone app using artificial intelligence for the real-time measurement of barbell velocity in the bench press exercise. J Strength Cond Res 37(12): e640–e645, 2023—The purpose of this study was to explore the validity and within-session reliability of the newly developed My Jump Lab application (app), which uses artificial intelligence techniques to monitor barbell velocity in real time. Twenty-seven sport science students performed 5 repetitions at 50 and 75% of their self-reported bench press 1 repetition maximum (1RM) during a single testing session, whereas barbell velocity was concurrently measured using the app (installed on an iPhone 12 Pro) and the GymAware linear position transducer (LPT). A very high correlation was observed between devices at each loading condition (50% 1RM: r = 0.90 [0.82–0.97]; 75% 1RM: r = 0.92 [0.86–0.98]). Results showed trivial differences between the app and LPT at both 50% 1RM (g = −0.06) and 75% 1RM (g = −0.12). Bland-Altman analysis showed a bias estimate of −0.010 m·s−1 and −0.026 m·s−1 for the 50 and 75% 1RM, respectively. Finally, similar levels of reliability, as revealed by the coefficient of variation, were observed for both devices (50% 1RM: LPT = 6.52%, app = 8.17%; 75% 1RM: LPT = 12.10%, app = 13.55%). Collectively, the findings of this study support the use of My Jump Lab for the measurement of real-time barbell velocity in the bench press exercise.

Item Type:	Article
Uncontrolled Keywords:	1106 Human Movement and Sports Sciences; 1116 Medical Physiology; Sport Sciences; 3202 Clinical sciences; 3208 Medical physiology; 4207 Sports science and exercise
Identification Number:	https://doi.org/10.1519/JSC.0000000000004593
Page Range:	e640-e645
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	18 Jul 2023 09:49
Last Modified:	11 Dec 2023 08:00
URI:	https://shura.shu.ac.uk/id/eprint/32150

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