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Full-Text Articles in Biomechanics
A Comparative Analysis Of Softball Gloves: Catcher's Glove Yields Highest Peak Hand Pressure, Brittany M. Hicks
A Comparative Analysis Of Softball Gloves: Catcher's Glove Yields Highest Peak Hand Pressure, Brittany M. Hicks
Electronic Thesis and Dissertation Repository
Catchers commonly develop abnormal blood flow in the ulnar artery, digital ischemia in the index finger, and index finger hypertrophy as a result of continual trauma to the hand. The hand sustains peak pressures that are much greater than the recommended thresholds for repetitive tasks. The objective of this study was to measure the peak pressure on the hand when catching a softball and to determine which glove type (catcher’s glove, first baseman’s glove or fielder’s glove) is most effective at reducing the peak pressure on the hand. Pressure data was collected using Tekscan pressure sensors. Results indicate the hand …
Factors Affecting Block Performance From The Omega Osb11 Starting Platform, Andrew Dragunas
Factors Affecting Block Performance From The Omega Osb11 Starting Platform, Andrew Dragunas
Electronic Thesis and Dissertation Repository
In 2009, the international governing body of swimming approved the use of the Omega OSB11 platform. It features a back foot kick plate that can be shifted into five positions. The purpose of this thesis is to identify set stance characteristics of the track start that may produce a faster start from the OSB11. The first project evaluated: optimal kick plate location, its relationship to segment lengths, and rear foot position as high and low on the kick plate. The swimmers demonstrated significantly greater horizontal take-off velocity and decreased time to 2 m with the rear foot in the high …
Evaluation Of Suspension Seats Under Multi-Axis Vibration Excitations - A Neural Net Model Approach To Seat Selection, Xiaoxu Ji
Electronic Thesis and Dissertation Repository
Whole-body vibration describes vibrations that are transferred from a supporting surface to the human body. Low back injury is a major health issue amongst heavy machine operators and seat selection is important for reducing vibration exposure. Modeling the vibration attenuation properties of seats is one approach for predicting the performance of seats in different vibration environments. An efficient neural network (NN) algorithm identified the vibration attenuation properties of five suspension seats that are commonly used in the Northern Ontario mining sector. Each of the NN seat models strongly predicted vertical seatpan r.m.s. accelerations from the chassis accelerations and a measure …