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The purpose of the study is to validate the use of smart and widespread instruments to detect kinematic, kinetic and spatio-temporal parameters in gait and postural analysis in hemiparetic and healthy individuals. Device as single Microsoft sensor Kinect v2, wearable sensorized clothing and/or smartphone-type devices will be used; it is also planned to analyze and compare such parameters with those obtained through a technique of manual palpatory analysis. Finally the obtained measures will be compared with the corresponding ones obtained with Three-dimensional instrumented gait analysis (3D-GA).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Hemiparetic patients | Hemiparetic patients assessed during gait and stance performance by means of different instrumental tools (smart and portable device vs 3D laboratory gait analysis) in order to evidence gait pattern; kinematics, kinetics and spatio-temporal data. |
| |
| Healthy age matched subjects | Healthy age matched subjects assessed during gait and stance performance by means of different instrumental tools (smart and portable device vs 3D laboratory gait analysis) in order to evidence gait pattern; kinematics, kinetics and spatio-temporal data. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Movement analysis | Diagnostic Test | Qualitative and quantitative computerized and instrumental assessment of gait and posture. |
|
| Measure | Description | Time Frame |
|---|---|---|
| GPS (Gait Profile Score index) - differences between techniques | % of agreement between 3D-GA (3 dimensional Gait Analysis - optoelectronic system) and Kinect motion analysis in the detection of kinematic data about gait collected within the GPS (Gait Profile Score Index) | During movement analysis |
| Measure | Description | Time Frame |
|---|---|---|
| Gait cycle values (stance and swing duration) - differences between techniques | % of agreement between 3D-GA (3 dimensional Gait Analysis - optoelectronic system) and Kinect motion analysis in the detection of Gait cycle values (stance and swing duration) | During movement analysis |
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Inclusion Criteria:
Exclusion Criteria:
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Single laboratory movement analysis with different tools and tecniques
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Matteo Bigoni, MD | Contact | +390323514445 | m.bigoni@auxologico.it |
| Name | Affiliation | Role |
|---|---|---|
| Matteo Bigoni, MD | Istituto Auxologico Italiano | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Istituto Auxologico Italiano | Recruiting | Milan | 20145 | Italy |
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| ID | Term |
|---|---|
| D010291 | Paresis |
| D020233 | Gait Disorders, Neurologic |
| ID | Term |
|---|---|
| D009461 | Neurologic Manifestations |
| D009422 | Nervous System Diseases |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| ID | Term |
|---|---|
| D000084542 | Eye-Tracking Technology |
| ID | Term |
|---|---|
| D053483 | Eye Movement Measurements |
| D003941 | Diagnostic Techniques, Ophthalmological |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
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| D004568 | Electrodiagnosis |