Matt Prebble

ORCID: 0000-0002-2848-6343
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About
Contact & Profiles
Research Areas
  • Knee injuries and reconstruction techniques
  • Osteoarthritis Treatment and Mechanisms
  • Lower Extremity Biomechanics and Pathologies
  • Total Knee Arthroplasty Outcomes
  • Cerebral Palsy and Movement Disorders
  • Stroke Rehabilitation and Recovery
  • Cloud Computing and Resource Management
  • Technology Assessment and Management
  • Orthopedic Surgery and Rehabilitation
  • Traumatic Brain Injury Research
  • Injury Epidemiology and Prevention
  • Bone fractures and treatments
  • Muscle activation and electromyography studies
  • Green IT and Sustainability
  • Sports injuries and prevention
  • Prosthetics and Rehabilitation Robotics

George Mason University
2018-2022

Center for Naval Analyses
2019

Although data exist on injuries in youth football leagues, there are limited recent injury incidence middle school football. Updated estimates can help drive the development of prevention strategies.Describe epidemiology during years 2015-2016 to 2017-2018.Descriptive study.Data originated from 9 public schools Virginia 2017-2018. Certified athletic trainers collected and athlete-exposure (AE) school-sanctioned games practices boys', Injury counts rates per 1000 AEs were calculated. rate...

10.1177/0363546518825361 article EN The American Journal of Sports Medicine 2019-02-25

Gait modification using real-time biofeedback is a conservative intervention associated with positive outcomes. Results from systematic reviews corroborate the effectiveness of various strategies employing for reducing estimated knee joint load. The effects on nonmodified limb, however, remain unclear. Biomechanical changes to limb were investigated during unilaterally implemented medial thrust, lateral trunk lean, and toe-in foot progression. Nineteen healthy participants recruited. Ten...

10.1123/jab.2019-0031 article EN Journal of Applied Biomechanics 2019-12-05

Gait modifications, such as lateral trunk lean (LTL), medial knee thrust (MKT), and toe-in gait (TIG), are frequently investigated interventions used to slow the progression of osteoarthritis. The Lerner model was developed estimate tibiofemoral joint reaction forces (JRF) in compartments during gait. These models may be useful for estimating effects on JRF a result modifications. We hypothesized that all modifications would decrease compared normal Twenty healthy individuals volunteered...

10.1115/1.4055885 article EN Journal of Biomechanical Engineering 2022-10-05

First peak knee adduction moment (PKAM) has been associated with osteoarthritis (OA) progression. Gait modification strategies using real-time biofeedback (RTB) including lateral trunk lean (TL), medial thrust (MKT), and reduced foot progression angle (FPA) have PKAM in both healthy OA populations. However, heterogeneity between limited study designs makes it unclear which strategy most effectively reduces PKAM. PURPOSE: To compare the effects of TL, MKT, FPA on individuals during gait....

10.1249/01.mss.0000536364.43930.2d article EN Medicine & Science in Sports & Exercise 2018-05-01

Gait modification (GM) via real-time biofeedback (RTB) is a conservative intervention that has shown positive outcomes in post stroke and diabetic patients. Results from recent systematic review support the effectiveness of this approach for increasing peak internal knee extension moment (iPKEM). iPKEM resistive to external flexion (ePKFM), which associated with altered joint loading. Scarce information exists on comparative existing GM strategies. PURPOSE: To compare trunk lean (TL), medial...

10.1249/01.mss.0000536310.56156.18 article EN Medicine & Science in Sports & Exercise 2018-05-01

Lower extremity biomechanical parameters during gait are of interest in degenerative pathologies, such as knee osteoarthritis. However, few investigations have looked at the effect walking speed on biomechanics (e.g., moments). METHODS: 10 healthy volunteers (25.6 ± 5.0 years, 1.68 0.11 m, 70.3 18.0 kg) completed 3 trials each 4 different speeds [preferred (PS), fast (FS), slow (SS), & very (VSS)]. The range for was determined by measuring a percentage participants PS: FS = (120 5%), SS (80...

10.1249/01.mss.0000535118.61829.e2 article EN Medicine & Science in Sports & Exercise 2018-05-01
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