An In-Shoe Device to Monitor Toe-Walking in Children With Cerebral Palsy
| Status: | Active, not recruiting |
|---|---|
| Conditions: | Neurology |
| Therapuetic Areas: | Neurology |
| Healthy: | No |
| Age Range: | 5 - 17 |
| Updated: | 4/21/2016 |
| Start Date: | May 2010 |
| End Date: | March 2018 |
The present project will focus on evaluating the technical efficacy of the in-shoe gait
monitoring device (ActiveGait) through laboratory based biomechanical gait assessments of
children who exhibit gait deviations due to CP or idiopathic toe walking wearing the device.
monitoring device (ActiveGait) through laboratory based biomechanical gait assessments of
children who exhibit gait deviations due to CP or idiopathic toe walking wearing the device.
The investigators on this protocol intend to develop the device and rely on it to propose a
Toe Walk Severity (TWS) index, a novel outcome measure for quantifying changes in severity
of toe walking over time and for assessing the outcome of surgical and non-surgical
interventions.
Tasks include:
A.Validate data acquisition measurements in laboratory setting compared to gold-standard
video analysis and field (outside of laboratory).
B.Develop multi-stage classification algorithm from subset of laboratory and field data.
C.Validate classification algorithm against random subsets of laboratory and field data.
D.Explore the development of a Toe Walking Severity (TWS) index from available biomechanical
and ActiveGait data for different ambulatory conditions.
E.Perform longitudinal study of the childhood toe walking population including both
laboratory analysis and at-home monitoring using ActiveGait technology.
F.Analyze statistically the sensitivity and specificity of the TWS index compared to
clinical observations. Gather evidence that the TWS index provides a means to track changes
in severity of toe walking over time.
Toe Walk Severity (TWS) index, a novel outcome measure for quantifying changes in severity
of toe walking over time and for assessing the outcome of surgical and non-surgical
interventions.
Tasks include:
A.Validate data acquisition measurements in laboratory setting compared to gold-standard
video analysis and field (outside of laboratory).
B.Develop multi-stage classification algorithm from subset of laboratory and field data.
C.Validate classification algorithm against random subsets of laboratory and field data.
D.Explore the development of a Toe Walking Severity (TWS) index from available biomechanical
and ActiveGait data for different ambulatory conditions.
E.Perform longitudinal study of the childhood toe walking population including both
laboratory analysis and at-home monitoring using ActiveGait technology.
F.Analyze statistically the sensitivity and specificity of the TWS index compared to
clinical observations. Gather evidence that the TWS index provides a means to track changes
in severity of toe walking over time.
Inclusion Criteria:
- able to ambulate 50 feet on level ground without the assistance of a person
- able to ambulate on ramps and stairs without the assistance of a person
- demonstrate a toe-walking pattern at the time of enrollment
- medically stable
- able to understand directions and follow simple instructions
Exclusion Criteria:
- any cardiopulmonary, orthopedic, and neurological conditions other than CP that would
prevent them from performing the motor tasks of interest
We found this trial at
1
site
Spaulding Rehabilitation Hospital At Spaulding Rehabiliation Hospital Boston, our unique approach to therapy includes use...
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