Validation of Smart Garments for Gait and Balance Assessment
Overview
- Phase
- N/A
- Intervention
- Not specified
- Conditions
- Healthy
- Sponsor
- Myant Medical Corp.
- Enrollment
- 20
- Locations
- 1
- Primary Endpoint
- Error in terminal double support (s) metric, and its asymmetry
- Status
- Recruiting
- Last Updated
- 2 years ago
Overview
Brief Summary
The aim of this study is therefore to validate Myant SKIIN garments for the purpose of gait and balance assessment. To achieve this, we recruit young healthy adults from the University of Waterloo to wear Skiin products (see Fig. 1). Participants will be asked to perform a number of scripted gait and balance tasks.
Detailed Description
Specific objectives of this study are: 1. To validate Skiin gait characterization algorithm (based on single garment solutions - already developed based on a literature and a previous study conducted at the University of Waterloo); 2. To develop algorithms for multi-garments solutions that aim to extract additional kinematic parameters such as joint angles. Gait metrics from Skiin garments will be compared to metrics from a gold standard measurement (Vicon motion capture) to indicate accuracy, precision and reliability.
Investigators
Eligibility Criteria
Inclusion Criteria
- •Healthy male and female adults aged 18y - 64y old
Exclusion Criteria
- •Self-reported lower limb conditions, neurological disorders, history of concussion/brain trauma, and/or condition limiting exercise is to mitigate additional risk for injury and/or adverse reactions associated with exercise.
Outcomes
Primary Outcomes
Error in terminal double support (s) metric, and its asymmetry
Time Frame: Collection during the single study session of 1.5 hours.
The difference between terminal double support (s), and its asymmetry calculated from Skiin data and from Vicon data for each scripted gait tasks.
Error in mean CoM sway velocity
Time Frame: Collection during the single study session of 1.5 hours.
The difference between sway velocity of the Center of mass calculated from Skiin data and from Vicon data for each scripted balance tasks.
Error in single limb support (s) metric, and its asymmetry
Time Frame: Collection during the single study session of 1.5 hours.
The difference between single limb support (s), and its asymmetry calculated from Skiin data and from Vicon data for each scripted gait tasks.
Error in step length metric
Time Frame: Collection during the single study session of 1.5 hours.
The difference between step lengths calculated from Skiin data and from Vicon data for each scripted gait tasks.
Error in stance duration (s) metric, and its asymmetry
Time Frame: Collection during the single study session of 1.5 hours.
The difference between stance duration (s), and its asymmetry calculated from Skiin data and from Vicon data for each scripted gait tasks.
Error in initial double support (s) metric, and its asymmetry
Time Frame: Collection during the single study session of 1.5 hours.
The difference between double support (s), and its asymmetry calculated from Skiin data and from Vicon data for each scripted gait tasks.
Error in stride speed metric
Time Frame: Collection during the single study session of 1.5 hours.
The difference between stride speed calculated from Skiin data and from Vicon data for each scripted gait tasks.
Error in double support (s) metric, and its asymmetry
Time Frame: Collection during the single study session of 1.5 hours.
The difference between double support (s), and its asymmetry calculated from Skiin data and from Vicon data for each scripted gait tasks.
Error in mean CoM sway distance
Time Frame: Collection during the single study session of 1.5 hours.
The difference between sway distance of the Center of mass calculated from Skiin data and from Vicon data for each scripted balance tasks.
Error in CoM sway area
Time Frame: Collection during the single study session of 1.5 hours.
The difference between sway area of the Center of mass calculated from Skiin data and from Vicon data for each scripted balance tasks.
Error in CoM sway frequency
Time Frame: Collection during the single study session of 1.5 hours.
The difference between sway frequency of the Center of mass calculated from Skiin data and from Vicon data for each scripted balance tasks.
Error in stride length metric
Time Frame: Collection during the single study session of 1.5 hours.
The difference between stride length calculated from Skiin data and from Vicon data for each scripted gait tasks.
Error in cadence metric
Time Frame: Collection during the single study session of 1.5 hours.
The difference between cadence calculated from Skiin data and from Vicon data for each scripted gait tasks.
Error in step duration (s) metric, and its asymmetry
Time Frame: Collection during the single study session of 1.5 hours.
The difference between step duration (s), and its asymmetry calculated from Skiin data and from Vicon data for each scripted gait tasks.
Error in stride duration (s) metric, and its asymmetry
Time Frame: Collection during the single study session of 1.5 hours.
The difference between stride duration (s), and its asymmetry calculated from Skiin data for each scripted gait tasks.
Error in swing duration (s) metric, and its asymmetry
Time Frame: Collection during the single study session of 1.5 hours.
The difference between swing duration(s), and its asymmetry calculated from Skiin data and from Vicon data for each scripted gait tasks.
Error in gait speed metric
Time Frame: Collection during the single study session of 1.5 hours.
The difference between gait speed calculated from Skiin data and from Vicon data for each scripted gait tasks.