Article, Early Access, 2024

Identifying Key Training Load and Intensity Indicators in Ice Hockey Using Unsupervised Machine Learning

RESEARCH QUARTERLY FOR EXERCISE AND SPORT, ISSN 0270-1367, 10.1080/02701367.2024.2360162

Contributors

Rago, Vincenzo (Corresponding author) [1] Fernandes, Tiago [2] [3] [4] Mohr, Magni [5] [6]

Affiliations

  1. [1] Univ Europeia, Fac Healh & Sport Sci, Estr Correia,N 53, P-1500210 Lisbon, Portugal
    2. [NORA names: Portugal; Europe, EU; OECD];
  2. [2] Karlsruhe Inst Technol, Karlsruhe, Germany
    3. [NORA names: Germany; Europe, EU; OECD];
  3. [3] Karlsruhe Inst Technol, Karlsruhe, Germany
    4. [NORA names: Germany; Europe, EU; OECD];
  4. [4] Univ Lleida, Lleida, Spain
    5. [NORA names: Spain; Europe, EU; OECD];
  5. [5] Univ Faroe Isl, Torshavn, Faroe Islands
    6. [NORA names: Faroe Islands; Europe, Non-EU; Nordic];

Abstract

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Keywords

Heart rate, physiology, team sports, tracking, wearable technology

Data Provider: Clarivate

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