A genetic-based algorithm for personalized resistance training

N Jones; J Kiely; B Suraci; DJ Collins; D de Lorenzo; C Pickering; KA Grimaldi

doi:10.5604/20831862.1198209

eISSN: 2083-1862
ISSN: 0860-021X

Biology of Sport

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2/2016
vol. 33

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N Jones

¹

,

J Kiely

²

,

B Suraci

³

,

DJ Collins

²

,

D de Lorenzo

^{4, 5}

,

C Pickering

⁶

,

KA Grimaldi

⁶

DNA Sports Performance Ltd, Manchester, UK

Institute of Coaching and Performance, University of Central Lancashire, Preston, UK

Suraci Consultancy, Portsmouth, UK

Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, CEXS-UPF-PRBB, Barcelona, Catalonia, Spain

Centro de Estudios en Genómica y Nutrición-CESGEN, Parc Científic i Tecnològic Agroalimentari de LleidaPCiTAL, Lleida, Catalonia, Spain

Exercise and Nutritional Genomics Research Centre, DNAFit Ltd, London, UK

Biol. Sport 2016;33:117-126

DOI: https://doi.org/10.5604/20831862.1198209

Online publish date: 2016/04/25

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Copyright: Institute of Sport. This is an Open Access article distributed under the terms of the Creative Commons CC BY License (https://creativecommons.org/licenses/by/4.0/). This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.

A genetic-based algorithm for personalized resistance training

N Jones 1 , J Kiely 2 , B Suraci 3 , DJ Collins 2 , D de Lorenzo 4, 5 , C Pickering 6 , KA Grimaldi 6

N Jones

¹

,

J Kiely

²

,

B Suraci

³

,

DJ Collins

²

,

D de Lorenzo

^{4, 5}

,

C Pickering

⁶

,

KA Grimaldi

⁶