Abstract

The overall goal of the Movement Analysis Research Core (MOVAN) is to establish a unique resource that will enhance the effectiveness of research in the Center for Research in Human Movement Variability (MOVCENTR).
The aims of the project are to 1) enable measurement of behavioral function and movement analysis, 2) provide centralized clinical measurement and training, along with support for subject recruitment and research compliance, 3) mentor MOVCENTR investigators in the assessment and interpretation of behavioral function and movement analysis data, and 4) build MOVAN as a leading resource to the institution, the state, and the region for assessment of behavioral function and movement analysis, specifically for use in human movement variability research to treat and prevent motor related disorders. The MOVAN Core is fundamental to the development of the MOVCENTR as it is central to nearly all activities aimed at studying human movement variability in order to treat and prevent motor related disorders. Institutional research capacity will be enhanced by the fully established MOVAN Core, substantially enhancing our competitiveness for sustainable programmatic research grants and program projects.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Exploratory Grants (P20)
Project #
2P20GM109090-06
Application #
9795142
Study Section
Special Emphasis Panel (ZGM1)
Project Start
Project End
Budget Start
2019-09-01
Budget End
2020-07-31
Support Year
6
Fiscal Year
2019
Total Cost
Indirect Cost

  Institution

Name
University of Nebraska Omaha
Department
Type
DUNS #
190827162
City
Omaha
State
NE
Country
United States
Zip Code
68182

  Publications

Dutt-Mazumder, Aviroop; Rand, Troy J; Mukherjee, Mukul et al. (2018) Scaling oscillatory platform frequency reveals recurrence of intermittent postural attractor states. Sci Rep 8:11580
Rock, Chase G; Marmelat, Vivien; Yentes, Jennifer M et al. (2018) Interaction between step-to-step variability and metabolic cost of transport during human walking. J Exp Biol 221:
McCamley, John D; Cutler, Eric L; Schmid, Kendra K et al. (2018) Gait Mechanics Differences Between Healthy Controls and Patients With Peripheral Artery Disease After Adjusting for Gait Velocity Stride Length and Step Width. J Appl Biomech :1-19
Grindle, Daniel M; Baker, Lauren; Furr, Mike et al. (2018) The Effects of Walking Workstations on Biomechanical Performance. J Appl Biomech 34:349-353
Youn, Ik-Hyun; Youn, Jong-Hoon; Zeni, Joseph A et al. (2018) Biomechanical Gait Variable Estimation Using Wearable Sensors after Unilateral Total Knee Arthroplasty. Sensors (Basel) 18:
Malcolm, Philippe; Galle, Samuel; Derave, Wim et al. (2018) Bi-articular Knee-Ankle-Foot Exoskeleton Produces Higher Metabolic Cost Reduction than Weight-Matched Mono-articular Exoskeleton. Front Neurosci 12:69
Yentes, Jennifer M; Denton, William; McCamley, John et al. (2018) Effect of parameter selection on entropy calculation for long walking trials. Gait Posture 60:128-134
Ray, Samuel F; Wurdeman, Shane R; Takahashi, Kota Z (2018) Prosthetic energy return during walking increases after 3 weeks of adaptation to a new device. J Neuroeng Rehabil 15:6
Bruening, Dustin A; Takahashi, Kota Z (2018) Partitioning ground reaction forces for multi-segment foot joint kinetics. Gait Posture 62:111-116
Raffalt, P C; Yentes, J M (2018) Introducing Statistical Persistence Decay: A Quantification of Stride-to-Stride Time Interval Dependency in Human Gait. Ann Biomed Eng 46:60-70

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