Automatic detection of pitching and throwing events in baseball with inertial measurement sensors
- Murray, Nick, Black, Georgia, Whiteley, Rod, Gahan, Peter, Cole, Michael, Utting, Andy, Gabbett, Tim
- Authors: Murray, Nick , Black, Georgia , Whiteley, Rod , Gahan, Peter , Cole, Michael , Utting, Andy , Gabbett, Tim
- Date: 2017
- Type: Text , Journal article
- Relation: International Journal of Sports Physiology and Performance Vol. 12, no. 4 (2017), p. 533-537
- Full Text:
- Reviewed:
- Description: Purpose: Throwing loads are known to be closely related to injury risk. However, for logistic reasons, typically only pitchers have their throws counted, and then only during innings. Accordingly, all other throws made are not counted, so estimates of throws made by players may be inaccurately recorded and underreported. A potential solution to this is the use of wearable microtechnology to automatically detect, quantify, and report pitch counts in baseball. This study investigated the accuracy of detection of baseball pitching and throwing in both practice and competition using a commercially available wearable microtechnology unit. Methods: Seventeen elite youth baseball players (mean ± SD age 16.5 ± 0.8 y, height 184.1 ± 5.5 cm, mass 78.3 ± 7.7 kg) participated in this study. Participants performed pitching, fielding, and throwing during practice and competition while wearing a microtechnology unit. Sensitivity and specificity of a pitching and throwing algorithm were determined by comparing automatic measures (ie, microtechnology unit) with direct measures (ie, manually recorded pitching counts). Results: The pitching and throwing algorithm was sensitive during both practice (100%) and competition (100%). Specificity was poorer during both practice (79.8%) and competition (74.4%). Conclusions: These findings demonstrate that the microtechnology unit is sensitive to detect pitching and throwing events, but further development of the pitching algorithm is required to accurately and consistently quantify throwing loads using microtechnology. © 2017 Human Kinetics, Inc.
- Authors: Murray, Nick , Black, Georgia , Whiteley, Rod , Gahan, Peter , Cole, Michael , Utting, Andy , Gabbett, Tim
- Date: 2017
- Type: Text , Journal article
- Relation: International Journal of Sports Physiology and Performance Vol. 12, no. 4 (2017), p. 533-537
- Full Text:
- Reviewed:
- Description: Purpose: Throwing loads are known to be closely related to injury risk. However, for logistic reasons, typically only pitchers have their throws counted, and then only during innings. Accordingly, all other throws made are not counted, so estimates of throws made by players may be inaccurately recorded and underreported. A potential solution to this is the use of wearable microtechnology to automatically detect, quantify, and report pitch counts in baseball. This study investigated the accuracy of detection of baseball pitching and throwing in both practice and competition using a commercially available wearable microtechnology unit. Methods: Seventeen elite youth baseball players (mean ± SD age 16.5 ± 0.8 y, height 184.1 ± 5.5 cm, mass 78.3 ± 7.7 kg) participated in this study. Participants performed pitching, fielding, and throwing during practice and competition while wearing a microtechnology unit. Sensitivity and specificity of a pitching and throwing algorithm were determined by comparing automatic measures (ie, microtechnology unit) with direct measures (ie, manually recorded pitching counts). Results: The pitching and throwing algorithm was sensitive during both practice (100%) and competition (100%). Specificity was poorer during both practice (79.8%) and competition (74.4%). Conclusions: These findings demonstrate that the microtechnology unit is sensitive to detect pitching and throwing events, but further development of the pitching algorithm is required to accurately and consistently quantify throwing loads using microtechnology. © 2017 Human Kinetics, Inc.
Stubborn exercise responders–where to next?
- Bell, Leo, Gabbett, Tim, Davis, Gregory, Wallen, Matthew, O’Brien, Brendan
- Authors: Bell, Leo , Gabbett, Tim , Davis, Gregory , Wallen, Matthew , O’Brien, Brendan
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Sports Vol. 10, no. 6 (2022), p.
- Full Text:
- Reviewed:
- Description: There is a wide variance in the magnitude of physiological adaptations after resistance or endurance training. The incidence of “non” or “poor” responders to training has been reported to represent as high as 40% of the project’s sample. However, the incidence of poor responders to training can be ameliorated with manipulation of either the training frequency, intensity, type and duration. Additionally, global non‐response to cardio‐respiratory fitness training is eliminated when evaluating several health measures beyond just the target variables as at least one or more measure improves. More research is required to determine if altering resistance training variables results in a more favourable response in individuals with an initial poor response to resistance training. Moreover, we recommend abandoning the term “poor” responders, as ultimately the magnitude of change in cardiorespiratory fitness in response to endurance training is similar in “poor” and “high” responders if the training frequency is subsequently increased. Therefore, we propose “stubborn” responders as a more appropriate term. Future research should focus on developing viable physiological and lifestyle screening tests that identify likely stubborn responders to conventional exercise training guidelines before the individual engages with training. Exerkines, DNA damage, metabolomic responses in blood, saliva and breath, gene sequence, gene expression and epigenetics are candidate biomarkers that warrant investigation into their relationship with traina-bility. Crucially, viable biomarker screening tests should show good construct validity to distinguish between different exercise loads, and possess excellent sensitivity and reliability. Furthermore “red flag” tests of likely poor responders to training should be practical to assess in clinical settings and be affordable and non‐invasive. Early identification of stubborn responders would enable op-timization of training programs from the onset of training to maintain exercise motivation and optimize the impact on training adaptations and health. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
- Authors: Bell, Leo , Gabbett, Tim , Davis, Gregory , Wallen, Matthew , O’Brien, Brendan
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Sports Vol. 10, no. 6 (2022), p.
- Full Text:
- Reviewed:
- Description: There is a wide variance in the magnitude of physiological adaptations after resistance or endurance training. The incidence of “non” or “poor” responders to training has been reported to represent as high as 40% of the project’s sample. However, the incidence of poor responders to training can be ameliorated with manipulation of either the training frequency, intensity, type and duration. Additionally, global non‐response to cardio‐respiratory fitness training is eliminated when evaluating several health measures beyond just the target variables as at least one or more measure improves. More research is required to determine if altering resistance training variables results in a more favourable response in individuals with an initial poor response to resistance training. Moreover, we recommend abandoning the term “poor” responders, as ultimately the magnitude of change in cardiorespiratory fitness in response to endurance training is similar in “poor” and “high” responders if the training frequency is subsequently increased. Therefore, we propose “stubborn” responders as a more appropriate term. Future research should focus on developing viable physiological and lifestyle screening tests that identify likely stubborn responders to conventional exercise training guidelines before the individual engages with training. Exerkines, DNA damage, metabolomic responses in blood, saliva and breath, gene sequence, gene expression and epigenetics are candidate biomarkers that warrant investigation into their relationship with traina-bility. Crucially, viable biomarker screening tests should show good construct validity to distinguish between different exercise loads, and possess excellent sensitivity and reliability. Furthermore “red flag” tests of likely poor responders to training should be practical to assess in clinical settings and be affordable and non‐invasive. Early identification of stubborn responders would enable op-timization of training programs from the onset of training to maintain exercise motivation and optimize the impact on training adaptations and health. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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