Biometric Recognition and Rehabilitation Assessment of Lower Extremity Sports Injury Based on Gait Touch Information

Study Overview
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Brief Summary
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The current common clinical methods cannot truly reflect the biomechanical status of the knee joint. Based on the foot-knee coupling mechanism, the simple and practical dynamic gait touch information provided by the 3D force platform are closely related to the knee biomechanics. The purpose of this study is to investigate the disease feature recognition, computer-aided diagnosis and rehabilitation assessment based on the gait touch information related to lower limb injuries.

Detailed Description
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Background: The current common clinical methods cannot truly reflect the biomechanical status of the knee joint. The three-dimensional gait analysis is the gold standard, but it is difficult to apply clinically. There is an urgent need for a clinically practical method to quantitatively evaluate the biomechanics of the knee joint under dynamic weight bearing. Methods: 50 healthy volunteers, 450 sports injuries patients (including hip, knee, and ankle joint diseases) and 50 patients with degenerative osteoarthritis were recruited. 55 passive reflective markers were placed bilaterally on the body. Lower extremity kinematics and dynamic plantar pressure during walking, jogging were collected. Outcome evaluation indicators and statistical methods: The following indicators use repeated measurement two-factor analysis of variance: the left and right sides, different rehabilitation times are used as repeated measurement variables, to analyze the biomechanical changes of the lower limb joint biomechanics and gait touch information. A variety of machine learning methods (such as PCA, SVM, CNN, etc.) are used to analyze, and select the appropriate algorithm and parameters according to the learning effect. Finally, this study will establish a machine learning models for computer-aided diagnosis, treatment, and rehabilitation assessment.

Official Title
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Biometric Recognition and Rehabilitation Assessment of Lower Extremity Sports Injury Based on Gait Touch Information

Conditions
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Sport Injury, Osteoarthritis, Knee

Intervention / Treatment
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* Other: no intervention


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: patients with a certain sports injury (soft tissue injury or degenerative osteoarthritis) of a joint of the lower limb (hip or knee or ankle or foot). Exclusion Criteria: Cognitive impairment other injuries affecting movement performance.
Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Healthy control<br>According to the previous clinical diagnosis, volunteers who has never suffered the lower extremity sports injuries. | Other: no intervention<br>* This is an observation study, with no intervention<br>|
| Patients with sports injuries<br>According to the previous clinical diagnosis, patients who has suffered the sports injuries(including hip, knee, and ankle joint diseases). | Other: no intervention<br>* This is an observation study, with no intervention<br>|
| Patients with degenerative osteoarthritis<br>According to the previous clinical diagnosis, patients who has suffered the degenerative osteoarthritis. | Other: no intervention<br>* This is an observation study, with no intervention<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| walking speed | Three-dimensional gait analysis system and plantar pressure were used during walking. | On the day of enrollment. | 
| ground reaction force | Three-dimensional gait analysis system and plantar pressure were used during walking. | On the day of enrollment. | 
| knee flexion angle | Three-dimensional gait analysis system and plantar pressure were used during walking. | On the day of enrollment. | 
| the moment of knee extension in the gait cycle | Three-dimensional gait analysis system and plantar pressure were used during walking. | On the day of enrollment. | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| The International Knee Documentation Committee (IKDC) score | The International Knee Documentation Committee (IKDC) score was used to evaluate the knee health.The patients completed score by themselves. The lowest score is 0 and the highest score is 100. | On the day of enrollment. | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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sports injury, gait touch information, machine learning