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Alejandro Martínez-Cava

Researcher at University of Murcia

Publications -  43
Citations -  734

Alejandro Martínez-Cava is an academic researcher from University of Murcia. The author has contributed to research in topics: Medicine & Repeatability. The author has an hindex of 9, co-authored 28 publications receiving 261 citations.

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Post-COVID-19 Syndrome and the Potential Benefits of Exercise

TL;DR: In this article, a narrative review summarizes the up-to-date evidence on post-COVID-19 syndrome to contribute to a better knowledge of the disease and explains how regular exercise may improve many of these symptoms and could reduce the long-term effects of COVID19.
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Reproducibility and Repeatability of Five Different Technologies for Bar Velocity Measurement in Resistance Training.

TL;DR: This study aimed to analyze the agreement between five bar velocity monitoring devices, currently used in resistance training, to determine the most reliable device based on reproducibility (between-device agreement for a given trial) and repeatability ( between-trial variation for each device)
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Velocity- and power-load relationships in the half, parallel and full back squat

TL;DR: The Pmax corresponded to a broad load range and was greatly influenced by how force output is calculated (including or excluding body mass) as well as the exact outcome variable used (MP, MPP, PP).
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Movement Velocity as a Measure of Level of Effort During Resistance Exercise.

TL;DR: By monitoring repetition velocity one can estimate with high accuracy the proximity of muscle failure and, therefore, to more objectively quantify the level of effort and fatigue being incurred during resistance training.
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Reliability of technologies to measure the barbell velocity: Implications for monitoring resistance training

TL;DR: T-Force stands as the preferable option to assess barbell velocity and to identify technical errors of measurement for emerging monitoring technologies, while the Speed4Lifts and STT are fine alternatives to T-Force for measuring velocity against high-medium loads.