Correlations between gait parameters estimated with wireless sensors and instrumented treadmill during running

This abstract has open access
Abstract Summary
New wireless sensors are being developed to help estimate kinetic and spatiotemporal running characteristics, but the relationship between these variables and kinetic variables quantified from ground reaction force (GRF) data are not fully understood. RunScribe variables estimating shock, braking, impact, contact time, and stride length were compared to similar parameters calculated using ground reaction force data. RunScribe’s braking estimates were positively correlated to peak posterior ground reaction force, however other kinetic measures were not significantly related. Contact time was significantly correlated; however, stride length was unrelated.
Submission ID :
UCB1056
Select an Abstract Type
Select a Topic

Abstracts With Same Type

Submission ID
Submission Title
Submission Topic
Submission Type
Primary Author
UCB1506
Wireless sensors and wearable devices
Oral
Rachel Horenstein Rachel Horenstein
UCB866
Modeling: General and simulation
Oral
Karim Makki* Karim Makki*
UCB1015
Biomedical engineering
Oral
Sarvenaz Chaeibakhsh* Sarvenaz Chaeibakhsh*
UCB753
Running: Biomechanics
Oral
Victoria Chester* Victoria Chester*
UCB1328
Modeling: Musculoskeletal
Oral
Alexis Brierty Alexis Brierty