External Load and Muscle Activation Monitoring of NCAA Division I Basketball Team Using Smart Compression Shorts
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 Collegiat...
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Published in | Sensors (Basel, Switzerland) Vol. 21; no. 16; p. 5348 |
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Abstract | 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. |
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AbstractList | 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. 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. |
Author | Freeman, Charles Saucier, David N. Petway, Adam Crane, Collin Chander, Harish Strawderman, Lesley Davarzani, Samaneh Duvall, Aaron Burch V, Reuben F. Piroli, Anthony Ogden, Logan |
AuthorAffiliation | 5 Strength & Conditioning, The University of Utah, Salt Lake City, UT 84112, USA; logden@huntsman.utah.edu 7 Strength & Conditioning, Mississippi State University, Mississippi State, MS 39762, USA; aduvall@athletics.msstate.edu (A.D.); ccrane@athletics.msstate.edu (C.C.) 8 Strength & Conditioning, Tampa Bay Buccaneers, Tampa, FL 33607, USA; apiroli@buccaneers.nfl.com 4 Department of Fashion Design & Merchandising, Mississippi State University, Mississippi State, MS 39762, USA; cfreeman@humansci.msstate.edu 6 Athletic Performance, Washington Wizards, Washington, DC 20004, USA; apetway@monumentalsports.com 3 Department of Kinesiology, Mississippi State University, Mississippi State, MS 39762, USA; hchander@colled.msstate.edu 2 Department of Industrial & Systems Engineering, Mississippi State University, Mississippi State, MS 39762, USA; sd1738@msstate.edu (S.D.); strawderman@ise.msstate.edu (L.S.) 1 Human Factors & Athlete Engineering, Center for Advanced Vehicular Systems (CAVS), Starkville, M |
AuthorAffiliation_xml | – name: 4 Department of Fashion Design & Merchandising, Mississippi State University, Mississippi State, MS 39762, USA; cfreeman@humansci.msstate.edu – name: 2 Department of Industrial & Systems Engineering, Mississippi State University, Mississippi State, MS 39762, USA; sd1738@msstate.edu (S.D.); strawderman@ise.msstate.edu (L.S.) – name: 8 Strength & Conditioning, Tampa Bay Buccaneers, Tampa, FL 33607, USA; apiroli@buccaneers.nfl.com – name: 5 Strength & Conditioning, The University of Utah, Salt Lake City, UT 84112, USA; logden@huntsman.utah.edu – name: 6 Athletic Performance, Washington Wizards, Washington, DC 20004, USA; apetway@monumentalsports.com – name: 1 Human Factors & Athlete Engineering, Center for Advanced Vehicular Systems (CAVS), Starkville, MS 39759, USA; burch@ise.msstate.edu – name: 7 Strength & Conditioning, Mississippi State University, Mississippi State, MS 39762, USA; aduvall@athletics.msstate.edu (A.D.); ccrane@athletics.msstate.edu (C.C.) – name: 3 Department of Kinesiology, Mississippi State University, Mississippi State, MS 39762, USA; hchander@colled.msstate.edu |
Author_xml | – sequence: 1 givenname: David N. orcidid: 0000-0002-0555-5246 surname: Saucier fullname: Saucier, David N. – sequence: 2 givenname: Samaneh surname: Davarzani fullname: Davarzani, Samaneh – sequence: 3 givenname: Reuben F. orcidid: 0000-0003-2944-1945 surname: Burch V fullname: Burch V, Reuben F. – sequence: 4 givenname: Harish orcidid: 0000-0001-9427-2936 surname: Chander fullname: Chander, Harish – sequence: 5 givenname: Lesley surname: Strawderman fullname: Strawderman, Lesley – sequence: 6 givenname: Charles surname: Freeman fullname: Freeman, Charles – sequence: 7 givenname: Logan surname: Ogden fullname: Ogden, Logan – sequence: 8 givenname: Adam surname: Petway fullname: Petway, Adam – sequence: 9 givenname: Aaron orcidid: 0000-0002-1816-6565 surname: Duvall fullname: Duvall, Aaron – sequence: 10 givenname: Collin surname: Crane fullname: Crane, Collin – sequence: 11 givenname: Anthony surname: Piroli fullname: Piroli, Anthony |
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Snippet | 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... |
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StartPage | 5348 |
SubjectTerms | accelerometer Accelerometers Athletes Basketball Biomechanics Coaches & managers Compression tests court-based sport Electrodes Exercise Global positioning systems GPS Guards Load Muscles Physical fitness Position measurement Principal components analysis smart garments surface electromyography Validity Variables wearable technology |
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Title | External Load and Muscle Activation Monitoring of NCAA Division I Basketball Team Using Smart Compression Shorts |
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