1RM prediction: a novel methodology based on the force-velocity and load-velocity relationships
Articolo
Data di Pubblicazione:
2016
Citazione:
1RM prediction: a novel methodology based on the force-velocity and load-velocity relationships / Picerno, P., Iannetta, D., Comotto, S., Donati, M., Pecoraro, F., Zok, M., Tollis, G., Figura, M., Varalda, C., Di Muzio, D., Patrizio, F., Piacentini, M.F.. - In: EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY. - ISSN 1439-6319. - (2016). [10.1007/s00421-016-3457-0]
Abstract:
This study aimed to evaluate the accuracy of a novel approach for predicting the one-repetition maximum (1RM). The prediction is based on the force-velocity and load-velocity relationships determined from measured force and velocity data collected during resistance-training exercises with incremental submaximal loads. 1RM was determined as the load corresponding to the intersection of these two curves, where the gravitational force exceeds the force that the subject can exert.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Force–velocity relationship; Muscle strength assessment; One-repetition maximum; Resistance training
Elenco autori:
Picerno, Pietro; Iannetta, Danilo; Comotto, Stefania; Donati, Marco; Pecoraro, Fabrizio; Zok, Mounir; Tollis, Giorgio; Figura, Marco; Varalda, Carlo; Di Muzio, Davide; Patrizio, Federica; Piacentini, Maria Francesca
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