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Full-Text Articles in Life Sciences
Kinetic Asymmetries During Submaximal And Maximal Speed Running, Devon H. Frayne
Kinetic Asymmetries During Submaximal And Maximal Speed Running, Devon H. Frayne
Masters Theses
An important issue for sports scientists, coaches and athletes is an understanding of the factors within a running stride that can enhance or limit maximal running speed. Previous research has identified many sprint-related parameters as potential kinetic limiters of maximal Center of Mass velocity (Chapman and Caldwell, 1983b; Weyand et al., 2001). Bilateral asymmetry is present for many of these parameters during running; however the degree to which such asymmetries change as running speed increases is unknown. It was hypothesized that asymmetries in key sprinting parameters would be larger at maximal speed than all other tested speeds. Kinematics and kinetics …
Development And Validation Of Accelerometer-Based Activity Classification Algorithms For Older Adults: A Machine Learning Approach, Jeffer Eidi Sasaki
Development And Validation Of Accelerometer-Based Activity Classification Algorithms For Older Adults: A Machine Learning Approach, Jeffer Eidi Sasaki
Doctoral Dissertations
Machine learning algorithms to classify activity type from wearable accelerometers are important to improve our understanding of the relationship between physical activity (PA) and risk for physical disability in older adults. Therefore, the main objective of this dissertation was to develop and evaluate machine learning algorithms to predict activity type and intensity in older adults from a commercially available accelerometer (ActiGraph GT3X+). In Study 1, we developed machine learning algorithms to classify activity type and intensity from raw accelerometer data in older adults. Thirty-five older adults performed an activity routine comprised of different activities (5 min/activity) while wearing three ActiGraph …
Impact Of Accelerometer Data Processing Decisions On The Sample Size, Wear Time And Physical Activity Level Of A Large Cohort Study, Sarah Kozey Keadle, Eric Shiroma, Patty Freedson, I-Min Lee
Impact Of Accelerometer Data Processing Decisions On The Sample Size, Wear Time And Physical Activity Level Of A Large Cohort Study, Sarah Kozey Keadle, Eric Shiroma, Patty Freedson, I-Min Lee
Patty S. Freedson
Background Accelerometers objectively assess physical activity (PA) and are currently used in several large-scale epidemiological studies, but there is no consensus for processing the data. This study compared the impact of wear-time assessment methods and using either vertical (V)-axis or vector magnitude (VM) cut-points on accelerometer output. Methods Participants (7,650 women, mean age 71.4 y) were mailed an accelerometer (ActiGraph GT3X+), instructed to wear it for 7 days, record dates and times the monitor was worn on a log, and return the monitor and log via mail. Data were processed using three wear-time methods (logs, Troiano or Choi algorithms) and …