Masters Theses
Date of Award
5-2017
Degree Type
Thesis
Degree Name
Master of Science
Major
Kinesiology
Major Professor
Joshua Weinhandl
Committee Members
Songning Zhang, David R. Bassett
Abstract
Rowing at the elite level requires proper sequencing of the rowing stroke so that the rower is able to produce an efficient stroke while protecting oneself from potential injuries. The cyclic motion of the rowing stroke sequence at low loads often results in overuse injuries, specifically in the lower back. Kinematic data of rower’s pelvis-lumbar-thoracic spine were collected using inertial measurement sensors. An incremental step-test was conducted to observe the influence of increasing intensities on the lumbar-pelvis and lumbar-thoracic segments coordination and coordination variability. This study provides a new way of quantifying rowing kinematics using vector coding. The vector coding technique used in this study quantifies the relative motion and variability in lumbar-pelvis and thoracic-lumbar couplings during the rowing stroke. Rowers exhibited greater lumbar-pelvis coupling angle variability during the recovery-drive transition of the stroke sequence with increasing intensities, which may be necessary as the rower prepares for the added load applied when the oar is placed in the water. The findings from this study may also indicate that the low coupling angle variability during the drive and recovery phases of the rowing stroke could increase the demands placed on the lumbar and repeatedly stress the same surrounding tissues, potentially explaining the cause of overuse injuries seen in the sport.
Recommended Citation
Minnock, McDaragh Rose, "Kinematic Analysis of Trunk Coordination Throughout the Rowing Stroke Sequence. " Master's Thesis, University of Tennessee, 2017.
https://trace.tennessee.edu/utk_gradthes/4765