External Load and Muscle Activation Monitoring of NCAA Division I Basketball Team Using Smart Compression Shorts
| Autor: | Samaneh Davarzani, Anthony Piroli, Adam Petway, Charles Freeman, Reuben F. Burch, Logan Ogden, Collin Crane, David Saucier, Aaron Duvall, Lesley Strawderman, Harish Chander |
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| Rok vydání: | 2021 |
| Předmět: |
Male
Basketball TP1-1185 Electromyography surface electromyography Athletic Performance Biochemistry Article Analytical Chemistry Physical Phenomena wearable technology Statistics court-based sport medicine Humans Electrical and Electronic Engineering Instrumentation Mathematics Principal Component Analysis medicine.diagnostic_test Chemical technology Muscles Nonparametric statistics Muscle activation Division (mathematics) Compression (physics) Atomic and Molecular Physics and Optics accelerometer Principal component analysis smart garments Hamstring |
| Zdroj: | Sensors (Basel, Switzerland) Sensors, Vol 21, Iss 5348, p 5348 (2021) Sensors Volume 21 Issue 16 |
| ISSN: | 1424-8220 |
| Popis: | There is scarce research into the use of Strive Sense3 smart compression shorts to measure external load with accelerometry and muscle load (i.e., muscle activations) with surface electromyography in basketball. Sixteen external load and muscle load variables were measured from 15 National Collegiate Athletic Association Division I men’s basketball players with 1137 session records. The data were analyzed for player positions of Centers (n = 4), Forwards (n = 4), and Guards (n = 7). Nonparametric bootstrapping was used to find significant differences between training and game sessions. Significant differences were found in all variables except Number of Jumps and all muscle load variables for Guards, and all variables except Muscle Load for Forwards. For Centers, the Average Speed, Average Max Speed, and Total Hamstring, Glute, Left, and Right Muscle variables were significantly different (p < 0.05). Principal component analysis was conducted on the external load variables. Most of the variance was explained within two principal components (70.4% in the worst case). Variable loadings of principal components for each position were similar during training but differed during games, especially for the Forward position. Measuring muscle activation provides additional information in which the demands of each playing position can be differentiated during training and competition. |
| Databáze: | OpenAIRE |
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