A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load
While the Player Load is a widely-used parameter for physical demand quantification using wearable accelerometers, its calculation is subjected to potential errors related to rotational changes of the reference frame. The aims of this study were (i) to assess the concurrent validity of accelerometry...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/10/3398 |
| _version_ | 1827692673268449280 |
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| author | Enzo Hollville Antoine Couturier Gaël Guilhem Giuseppe Rabita |
| author_facet | Enzo Hollville Antoine Couturier Gaël Guilhem Giuseppe Rabita |
| author_sort | Enzo Hollville |
| collection | DOAJ |
| description | While the Player Load is a widely-used parameter for physical demand quantification using wearable accelerometers, its calculation is subjected to potential errors related to rotational changes of the reference frame. The aims of this study were (i) to assess the concurrent validity of accelerometry-based Player Load against force plates; (ii) to validate a novel metric, the Accel’Rate overcoming this theoretical issue. Twenty-one recreational athlete males instrumented with two triaxial accelerometers positioned at the upper and lower back performed running-based locomotor movements at low and high intensity over six in-series force plates. We examined the validity of the Player Load and the Accel’Rate by using force plates. Standard error of the estimate was small to moderate for all tested conditions (Player Load: 0.45 to 0.87; Accel’Rate: 0.25 to 0.95). Accel’Rate displayed trivial to small mean biases (−1.0 to 6.1 a.u.) while the Player Load displayed systematic very large to extremely large mean biases (17.1 to 226.0 a.u.). These findings demonstrate a better concurrent validity of the Accel’Rate compared to the Player Load. This metric could be used to improve the estimation of whole-body mechanical load, easily accessible in sport training and competition settings. |
| first_indexed | 2024-03-10T11:27:20Z |
| format | Article |
| id | doaj.art-f0b0a993ae31476dbe9b243ac37593c4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T11:27:20Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f0b0a993ae31476dbe9b243ac37593c42023-11-21T19:33:23ZengMDPI AGSensors1424-82202021-05-012110339810.3390/s21103398A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical LoadEnzo Hollville0Antoine Couturier1Gaël Guilhem2Giuseppe Rabita3French Institute of Sport (INSEP), Laboratory Sport, Expertise and Performance, EA7370 Paris, FranceFrench Institute of Sport (INSEP), Laboratory Sport, Expertise and Performance, EA7370 Paris, FranceFrench Institute of Sport (INSEP), Laboratory Sport, Expertise and Performance, EA7370 Paris, FranceFrench Institute of Sport (INSEP), Laboratory Sport, Expertise and Performance, EA7370 Paris, FranceWhile the Player Load is a widely-used parameter for physical demand quantification using wearable accelerometers, its calculation is subjected to potential errors related to rotational changes of the reference frame. The aims of this study were (i) to assess the concurrent validity of accelerometry-based Player Load against force plates; (ii) to validate a novel metric, the Accel’Rate overcoming this theoretical issue. Twenty-one recreational athlete males instrumented with two triaxial accelerometers positioned at the upper and lower back performed running-based locomotor movements at low and high intensity over six in-series force plates. We examined the validity of the Player Load and the Accel’Rate by using force plates. Standard error of the estimate was small to moderate for all tested conditions (Player Load: 0.45 to 0.87; Accel’Rate: 0.25 to 0.95). Accel’Rate displayed trivial to small mean biases (−1.0 to 6.1 a.u.) while the Player Load displayed systematic very large to extremely large mean biases (17.1 to 226.0 a.u.). These findings demonstrate a better concurrent validity of the Accel’Rate compared to the Player Load. This metric could be used to improve the estimation of whole-body mechanical load, easily accessible in sport training and competition settings.https://www.mdpi.com/1424-8220/21/10/3398Player LoadAccel’Rateexternal loadteam sporttraining load monitoringinjury |
| spellingShingle | Enzo Hollville Antoine Couturier Gaël Guilhem Giuseppe Rabita A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load Sensors Player Load Accel’Rate external load team sport training load monitoring injury |
| title | A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load |
| title_full | A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load |
| title_fullStr | A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load |
| title_full_unstemmed | A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load |
| title_short | A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load |
| title_sort | novel accelerometry based metric to improve estimation of whole body mechanical load |
| topic | Player Load Accel’Rate external load team sport training load monitoring injury |
| url | https://www.mdpi.com/1424-8220/21/10/3398 |
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