Advisor Information
Brian Knarr
Presentation Type
Poster
Start Date
1-3-2019 12:30 PM
End Date
1-3-2019 1:45 PM
Abstract
Populations that have suffered from stroke are generally less active than people of otherwise similar demographics and are more susceptible to further health problems, such as another stroke. This study seeks to assess the validity of a treatment that encourages stroke survivors to walk more steps each day, in order to improve their active abilities and become less idle by establishing motivation for activity and therefore, also establishing patterns in the distribution of that activity throughout a stroke survivor’s day. 172 subjects (6 months post-stroke) have participated in a step activity monitoring program to record steps taken using wearable pedometers. This data will be used to understand patterns through mean daily steps and standard deviation of daily steps. In addition, Jenson-Shannon Divergence calculations will analyze how a subject’s steps are distributed throughout each day and determine how similar those distributions are between days. In line with previous studies that have shown that high step activity correlates with more habitual activity, we hypothesize that we will find results that show a positive correlation in the amount of step activity of a stroke survivor in relation to the consistency of their walking distribution. Findings from this study may help guide treatment in the clinical setting for stroke survivors, encouraging survivors to reach step count goals, which would translate to being more regularly active individuals, and therefore, strengthening the walking abilities that were impaired by stroke.
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Included in
DETERMINING THE RELATIONSHIP BETWEEN WALKING ACTIVITY AND INTER-DAY PATTERNS IN STROKE SURVIVORS
Populations that have suffered from stroke are generally less active than people of otherwise similar demographics and are more susceptible to further health problems, such as another stroke. This study seeks to assess the validity of a treatment that encourages stroke survivors to walk more steps each day, in order to improve their active abilities and become less idle by establishing motivation for activity and therefore, also establishing patterns in the distribution of that activity throughout a stroke survivor’s day. 172 subjects (6 months post-stroke) have participated in a step activity monitoring program to record steps taken using wearable pedometers. This data will be used to understand patterns through mean daily steps and standard deviation of daily steps. In addition, Jenson-Shannon Divergence calculations will analyze how a subject’s steps are distributed throughout each day and determine how similar those distributions are between days. In line with previous studies that have shown that high step activity correlates with more habitual activity, we hypothesize that we will find results that show a positive correlation in the amount of step activity of a stroke survivor in relation to the consistency of their walking distribution. Findings from this study may help guide treatment in the clinical setting for stroke survivors, encouraging survivors to reach step count goals, which would translate to being more regularly active individuals, and therefore, strengthening the walking abilities that were impaired by stroke.