Accelerometry-Based External Load Indicators in Sport
Too Many Options, Same Practical Outcome
Bibliographic Data
| ID | 15467934 |
|---|---|
| Authors | Carlos D Gómez‐Carmona (Universidad de Extremadura, corresponding author), Carlos Gómez-Carmona (0000-0002-4084-8124, Universidad de Extremadura), José Pino‐Ortega (0000-0002-9091-0897, Universidad de Murcia, corresponding author), Braulio Sánchez-Ureña (0000-0001-8791-6836, Universidad Nacional), Sérgio J Ibáñez (0000-0001-6009-4086, Universidad de Extremadura), D Rojas-Valverde (0000-0002-0717-8827, Universidad Nacional) |
| Year | 2019 |
| Volume | 16 |
| Issue | 24 |
| Pages | 5101-5101 |
| Publication date | 2019-12-13 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph16245101 |
| PMID | 31847248 |
| OpenAlex | W2996541587 |
| Language | EN |
| Citations received | 5 |
| References cited | 51 |
With the development of new microsensor technology to assess load in sports, some indicators of external load through accelerometry-based data have been created by sport technology companies. Thus, the study aim was to analyze the agreement between different accelerometry-based external load indicators (ABELIs) available in sport science. A U-16 male soccer team was assessed during three official matches, divided by periods, to obtain 3-D accelerometry data (x, y and z axes). An average of 1,420,000 data points was analyzed per axis per player. The ABELIs were calculated using this information, and the agreement between them was explored. The following ABELIs were considered after a literature review: AcelT, Player Load RT , PlayerLoad TM , Impulse Load, Player Load RE and Total Load. In order to compare ABELIs, two analyses were performed using: (1) absolute data; and (2) normalized and centered data (Z-scores). In absolute and centered data, very large to nearly perfect correlations (1st period: r > 0.803, p > 0.01; 2nd period: r > 0.919; p > 0.01) were found. Instead, very large differences were found in absolute values (bias = -579,226.6 to 285,931.1; t = -224.66 to 213.91, p t = 1; p = 1). In conclusion, considering the different output (magnitude and units) among ABELIs, the standardization of a universal index to calculate accelerometer load is needed in order to make possible between-study comparison
Accelerometer · Aeronautics · Economics · Outcome (game theory · Physical medicine and rehabilitation · Computer Science · Engineering · Environmental Science · Lower Extremity Biomechanics and Pathologies · Medicine · Sports injuries and prevention · Sports Performance and Training
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| Unique citing works | 5 |
|---|---|
| Citations per year | 0,83 |
| Citation span | 2020 - 2023 (4) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 5 |