Timothy Doyle

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Macquarie University

Australia

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Recent Grants

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Visiting Scientist Program

Open Date: 2018-11-01

Close Date: 2018-11-01

Grant: Close

Rapid and targeted training of Australian soldiers to reduce injury and improve performance during load carriage

Open Date: 2017-12-01

Close Date: 2018-12-01

Grant: Close

Macquarie University Strategic Infrastructure Scheme - Learning and Teaching

Open Date: 2017-01-01

Close Date: 2017-12-01

Grant: Close

Endeavour Executive Fellowship

Open Date: 2017-01-01

Close Date: 2017-12-01

Grant: Close

Glycaemic variation (blood sugar levels) in response to resistance exercise and training in individuals at risk of type 2 diabetes.

Open Date: 2010-09-01

Close Date: 2010-09-01

Articles (27)

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Collaborators (17)

David John Saxby

Associate Professor

Griffith University

AUSTRALIA

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Ayden McCarthy

Macquarie University

AUSTRALIA

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Paul Sowman

Macquarie University

AUSTRALIA

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Jacqueline Alderson

University of Western Australia

AUSTRALIA

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Clint Bellenger

University of South Australia

AUSTRALIA

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Bradley C. Nindl

UNITED STATES

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Jodie Wills

Macquarie University

AUSTRALIA

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Jonathan Buckley

University of South Australia

AUSTRALIA

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Aaron Beach

Macquarie University

AUSTRALIA

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Daniel Glassbrook

York St John University

UNITED KINGDOM

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Eoin Doyle

Macquarie University

AUSTRALIA

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Mark Wiggins

Macquarie University

AUSTRALIA

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Nathan Schilaty

Assistant Professor

University of South Florida

UNITED STATES

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Matthew Bird

Oklahoma State University

UNITED STATES

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Nicholas Cooney

Macquarie University

AUSTRALIA

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Joel Fuller

Macquarie University

AUSTRALIA

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Luana Main

Associate Professor

Deakin University

AUSTRALIA

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Timothy Doyle

Research Interests

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Recent Grants

Articles (27)

Nonlinear analysis reveals duration and gradient-dependent disruption of load carriage gait variability during an outdoor 6.72 km time trial in military personnel

VALD HumanTrak Measures Valid Hip and Knee Joint Angles With and Without Body Armor

Predicting Maximal Military Occupational Task Performance from Physical Fitness Tests Using Machine Learning

Strength, Jump Height, Landing, and Mobility Metrics Predict High and Low Performers of a Fire and Move Assessment: A Machine Learning Approach

Wearable-assessed biomechanical and physiological demands during load carriage and tactical mobility tasks among male and female military personnel

Response to Letter to the Editor Re: Allostatic Load Is Associated with Overuse Musculoskeletal Injury during US Marine Corps Officer Candidates School

Novel approaches to evaluate characteristics that affect military load carriage

Field-Based Gait Retraining to Reduce Impact Loading Using Tibial Accelerometers in High-Impact Recreational Runners: A Feasibility Study

The Cumulative Impacts of Fatigue during Overload Training Can Be Tracked Using Field-Based Monitoring of Running Stride Interval Correlations

Optimizing Wearable Device and Testing Parameters to Monitor Running-Stride Long-Range Correlations for Fatigue Management in Field Settings

Load increases IMU signal attenuation per step but reduces IMU signal attenuation per kilometre

A kinetic analysis of four high velocity, horizontally focused step-up variations for acceleration training

Allostatic load is associated with overuse musculoskeletal injury during US Marine Corps officer candidates school

IMUs can estimate hip and knee range of motion during walking tasks but are not sensitive to changes in load or grade

Sensor location influences the associations between IMU and motion capture measurements of impact landing in healthy male and female runners at multiple running speeds

Cumulative patellofemoral force and stress are lower during faster running compared to slower running in recreational runners

Sex-specific physical performance adaptive responses are elicited after 10 weeks of load carriage conditioning

Cue utilisation is partially related to performance on an urban operations course but not experience

A markerless motion capture system can reliably determine peak trunk flexion while squatting with and without a weighted vest

Evaluating the intra- and inter-day reliability of output measures for the VALD HumanTrak

A minimal sensor inertial measurement unit system is replicable and capable of estimating bilateral lower-limb kinematics in a stationary bodyweight squat and a countermovement jump

Predictive utility of commercial grade technologies for assessing musculoskeletal injury risk in US Marine Corps Officer candidates

Association of clinically-measured and dynamic ankle dorsiflexion assessed by markerless motion capture during the drop-jump task on landing biomechanics and risk of ankle injury in military personnel undergoing 10 weeks of physical training

Changes in acceleration load as measured by inertial measurement units manifest in the upper body after an extended running task

Head and Neck Characteristics as Risk Factors For and Protective Factors Against Mild Traumatic Brain Injury in Military and Sporting Populations: A Systematic Review

Measures of lower-body strength associated with injuries in Australian Special Forces selection candidates

Negative Consequences of Pressure on Marksmanship May be Offset by Early Training Exposure to Contextually Relevant Threat Training: A Systematic Review and Meta-Analysis

Collaborators (17)

David John Saxby

Ayden McCarthy

Paul Sowman

Jacqueline Alderson

Clint Bellenger

Bradley C. Nindl

Jodie Wills

Jonathan Buckley

Aaron Beach

Daniel Glassbrook

Eoin Doyle

Mark Wiggins

Nathan Schilaty

Matthew Bird

Nicholas Cooney

Joel Fuller

Luana Main

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Association of clinically-measured and dynamic ankle dorsiflexion assessed by markerless motion capture during the drop-jump task on landing biomechanics and risk of ankle injury in military personnel undergoing 10 weeks of physical training