A5048440213- Winter Sports Injuries and Performance
- Sports injuries and prevention
- Traumatic Brain Injury Research
- Sports Performance and Training
- Video Analysis and Summarization
- Cancer-related gene regulation
- Chromatin Remodeling and Cancer
- Cardiac Arrest and Resuscitation
- Information and Cyber Security
- Cell Adhesion Molecules Research
University of Colorado Anschutz Medical Campus
2023
Eastern Michigan University
2018-2020
Michigan United
2019
Peterson (Norway)
2018
Vascular smooth muscle-derived Sca1+ adventitial progenitor (AdvSca1-SM) cells are tissue-resident, multipotent stem that contribute to progression of vascular remodeling and fibrosis. Upon acute injury, AdvSca1-SM differentiate into myofibroblasts embedded in perivascular collagen the extracellular matrix. While phenotypic properties AdvSca1-SM-derived have been defined, underlying epigenetic regulators driving AdvSca1-SM-to-myofibroblast transition unclear. We show chromatin remodeler...
Purpose Video corroboration of player incurred impacts (PII) using trunk-worn wearable sensors (WS) among national ice-hockey team members. Methods 23 members the U.S. National (NTDP) U18 consented to procedures approved by EMU Human Subjects Committee. Bioharness-3 (Zephyr, MD) WS recorded occurrences PII during games and were generated Impact Processor MD). Eight players with top activity levels each game determined WS, observed video synchronized collected NTDP staff. Impacts identified...
Wearable sensors (WS) have been increasingly used to quantify training loads in team sports but can also be identify impacts. Helmet worn head impacts, there is currently no data with regard whole-body impacts incurred by players ice hockey using trunk-worn sensors. PURPOSE: To use video corroborate identified WS and determine validity of player (PII) among elite national members. METHODS: 23 on the U.S. National Team Development Program (NTDP) U18 consented procedures approved EMU Human...
PURPOSE: To determine if machine learning approaches could be used to improve impact identification from low frequency data collected wearable sensors (WS) among national ice-hockey team members. METHODS: 23 members of the U.S. National (NTDP) U18 consented procedures approved by EMU Human Subjects Committee. Using previously validated events identified at 100 Hz (Impact Processor, Zephyr MD), we two neural network approaches, autoencoder (AE), that can reconstruct inputs large sets and...
PURPOSE: Video corroboration of on ice impacts identified by wearable sensors (WS) is a time-consuming task. To automate this, we attempted computer vision approach to recorded game video corroborate using WS among national ice-hockey team members. METHODS: 23 U.S. National U18 Hockey members consented procedures approved EMU HSRC. Impacts were previously validated from data collected at 100 Hz (Impact Processor, Zephyr MD) 8 players with the top activity levels determined in 4 games. Game...
PURPOSE: Use wearable sensors (WS) to compare player incurred impacts (PII) and absolute vs relative workload intensity between practices, games teams determine if developmental age affects these factors at the national team level. METHODS: 90 total members of U.S. National (NTDP) U17 (45 members) U18 consented procedures approved by EMU Human Subjects Committee. Bioharness-3 (Zephyr, MD) WS recorded triaxial accelerations during practices (P) (G) two over seasons. Impacts were identified...
PURPOSE: Use player worn sensors (PWS) to measure and compare absolute relative training load metrics for U17 U18 Junior National ice hockey teams during practices games. METHODS: 90 total members of two (U17, n= 45 U18, 45) the Team Development Program (16.6+2.1y, 17.5+2.7y) consented procedures approved by EMU-HSRC. Zephyr BH-3 (Zephyr, MD) PWS measured triaxial accelerations (g’s) all on (P) games (G). Dynamic Accelerations (DYNAs) were generated from exponentially weighted Functional...