Life Sciences Commons^™

Using Machine Learning To Quantify Transverse Plane Lumbopelvic Rhythm, Seth Higgins, Joshua Tome, Rumit Singh Kakar

College of Health Sciences Posters

Lumbopelvic rhythm illustrates the relative motion between the lumbar spine and pelvis during various activities and could be used as a biomarker for low back pain (LBP). Sagittal plane lumbopelvic rhythm has been extensively examined as a surrogate to measure low back pain risk factor, but trunk rotation, the second component of lifting is commonly missed. Since lumbopelvic rhythm are time series and not discrete variables, machine learning may be a viable solution in identifying clusters of patterns for healthy adults. PURPOSE: To categorize healthy lumbopelvic rhythm in the transverse plane using machine learning. METHODS: 80 adults with no history …

Self-Selected Maximum But Not Jogging Speed Decreases With Age In Male And Female Runners, Heather Hamilton, Rumit Singh Kakar

College of Health Sciences Posters

Introduction: Running velocity decreases with age, likely resulting from physiological and musculoskeletal changes associated with aging. Females experience a more rapid decline in physical performance during middle age than males, therefore it is important to consider separate-sex analyses when studying running biomechanics and running-related injury. The purpose of this study was to determine the relationship between age and different running speeds separately for female and male runners.

Methods: Male (n=33) and female (n=46) runners (ages 18–65 years) ran at their self-selected JOG (long distance) and MAX (maximal running) pace on a treadmill. Running velocity was recorded. Simple linear regression was …

Trunk Kinematics Using Musculoskeletal Modeling During Range Of Motion Tasks, Maryam Moeini, Ruth M. Higgins, Hunter Bennett, Stacie Ringleb

College of Health Sciences Posters

A spine model can be used to predict post-spinal fusion motion needed to perform physical activities in individuals with scoliosis. Full body lumbar spine (FBLS) model (Raabi et al., 2016) allows for modeling lumbar spine and pelvis movement and was validated for jogging. However, like other existing adult spine models, FBLS model does not allow for a motion providing thoracic and spine. Purpose: To adapt the FBLS model for simulating thoracic, lumbar and pelvis motion during trunk rotation in all 3 planes of motion. Methods: Since T12-L1 in FBLS model is designed as a dependent joint (axial rotation analogous to …