Advisor Information
Mukul Mukherjee
Location
Dr. C.C. and Mabel L. Criss Library
Presentation Type
Poster
Start Date
2-3-2018 9:00 AM
End Date
2-3-2018 10:15 AM
Abstract
Background: Stroke is the leading cause of disability in adults. Current rehabilitation practices often fail to correct gait deficits such as gait asymmetry. While gait asymmetry characterizes individual differences between the legs (e.g. step time or step length differences), gait coordination characterizes interactions between the two legs (e.g. durations of similar behavior or repeating patterns). In a healthy system, coordination allows our legs to effectively work together providing a smooth and efficient gait. Defining and understanding the temporal structure of gait patterns in chronic stroke survivors may be the key to creating a successful rehabilitation paradigm. One tool that can help in understanding the temporal structure of variability is cross-recurrence quantification analysis (cRQA) which allows us to quantify the strength of coordination over time (maximum line length) between the two limbs. Purpose: The goal of this project was to determine the temporal structure of inter-limb coordination in chronic stroke survivors. Methods: 12 patients with hemiparesis due to stroke were recruited. Participants walked for as long as they could, and up to 5 minutes at their PWS on a treadmill. cRQA was used to characterize the temporal structure of variability. Participants also completed a battery of clinical tests to determine sensorimotor and cognitive levels. Results & Discussion: As level of asymmetry increases there is a tread towards a decrease in max cRQA line and a lower Fugl-Meyer score. Relating nonlinear variables with clinical measures and then targeting these variables during rehabilitation may provide optimal outcomes for chronic stroke survivors.
Inter-Limb Coordination in Chronic Stroke Survivors
Dr. C.C. and Mabel L. Criss Library
Background: Stroke is the leading cause of disability in adults. Current rehabilitation practices often fail to correct gait deficits such as gait asymmetry. While gait asymmetry characterizes individual differences between the legs (e.g. step time or step length differences), gait coordination characterizes interactions between the two legs (e.g. durations of similar behavior or repeating patterns). In a healthy system, coordination allows our legs to effectively work together providing a smooth and efficient gait. Defining and understanding the temporal structure of gait patterns in chronic stroke survivors may be the key to creating a successful rehabilitation paradigm. One tool that can help in understanding the temporal structure of variability is cross-recurrence quantification analysis (cRQA) which allows us to quantify the strength of coordination over time (maximum line length) between the two limbs. Purpose: The goal of this project was to determine the temporal structure of inter-limb coordination in chronic stroke survivors. Methods: 12 patients with hemiparesis due to stroke were recruited. Participants walked for as long as they could, and up to 5 minutes at their PWS on a treadmill. cRQA was used to characterize the temporal structure of variability. Participants also completed a battery of clinical tests to determine sensorimotor and cognitive levels. Results & Discussion: As level of asymmetry increases there is a tread towards a decrease in max cRQA line and a lower Fugl-Meyer score. Relating nonlinear variables with clinical measures and then targeting these variables during rehabilitation may provide optimal outcomes for chronic stroke survivors.