Gait, Stumbling Clinical Trial
Official title:
Determination of Walking Imitations With Artificial Intelligence Model in Forensic Medicine; Lie Detector for Walking
The goal of this clinical trial is to obtain more consistent results with the use of repetitive neural networks in gait models and classification approaches in individuals applying forensic sciences. It was aimed to develop a decision support system for determining the walking imitations of individuals with explainable machine learning approaches on disability compensation in the field of Forensic Medicine. Participants will be assessed regarding kinematic and temporospatial gait parameters, pain severity, and fatigue level. Comparison group: Researchers will compare the patients applying to the forensic medicine department to those applying to the orthopedic department, and their healthy counterparts.
Status | Not yet recruiting |
Enrollment | 60 |
Est. completion date | December 30, 2024 |
Est. primary completion date | June 30, 2024 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | Male |
Age group | 18 Years to 40 Years |
Eligibility | Inclusion Criteria: Grup Forensic Medicine 1. Applying to the Department of Forensic Medicine to determine the disability rate, 2. Antalgic gait evaluation performed within the scope of traffic accident or disability reporting, 3. Having a history of unilateral lower extremity fracture, 4. Not having any orthopedic or neurological problems that may affect walking, other than fractures, 5. At least 6 months after surgical treatment, 6. Scoring 24 or more from the Standardized Mini Mental Test 7. Male individuals between the ages of 18-40 Inclusion Criteria: Grup Orthopedics and Traumatology 1. Having a history of unilateral lower extremity fracture, 2. Not in a position of disability or compensation after the fracture, 3. Treated in the Orthopedics and Traumatology Department 4. Similar to the participants in the Group Forensic Medicine in terms of demographic characteristics, 5. No orthopedic or neurological problems other than fractures that would affect walking, 6. At least 6 months after surgical treatment, 7. Scoring 24 or above from the Standardized Mini Mental Test, 8. Male individuals between the ages of 18-40 Inclusion Criteria: Grup Healthy 1. Healthy participants who have compatible demographic characteristics of the patient groups, 2. Scoring 24 or more from the Standardized Mini Mental Test, 3. Male individuals between the ages of 18-40. Exclusion Criteria: 1. Having any problems or pain in the upper extremities and/or trunk, 2. Having problems in both lower extremities, 3. Treatment is ongoing, 4. Patients who do not have the ability to walk independently, 5. Having a Body Mass Index of 30 kg/mĀ² and above. |
Country | Name | City | State |
---|---|---|---|
Turkey | Hacettepe University Physical Therapy and Rehabilitation Faculty | Ankara | Samanpazari |
Lead Sponsor | Collaborator |
---|---|
Hacettepe University |
Turkey,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Kinematic Gait analysis | During walking, angular values of the lower and upper limbs and trunk will be measured simultaneously with the measurement of time distance characteristics. | Day 1 | |
Primary | Temporospatial gait analysis | Individuals' gait will be assessed using the GAITRiteĀ® computerized walking path (CIR System INC. Clifton, NJ 07012). Data from the system, which has 18,432 sensors, is obtained by pressure-activated sensors at a rate of 60-120 Hz. In order to eliminate the learning effect, the subjects will be asked to walk at the pace they choose after three attempts are made. Rest breaks will be given between assessments and the average of three repetitions of the walk will be recorded. | Day 1 | |
Secondary | Pain assessment | Visual Analogue Scale will be used to evaluate the pain severity of individuals. Participants will be asked to mark their pain at rest and activity on a horizontal line of 100 millimeters, with 100 indicating maximum pain and 0 indicating no pain. | Day 1 | |
Secondary | Fatigue assessment | Visual Analogue Scale will be used to evaluate the fatigue level of individuals. Participants will be asked to mark their fatigue level at rest and activity on a horizontal line of 100 millimeters, with 100 indicating maximum pain and 0 indicating no pain. | Day 1 | |
Secondary | Mental State Assessment | To evaluate the mental state of the patients, Mini Mental Test will be used.Mini-mental test scores can vary between 0-30. Scores of 25 and above are considered normal. | Day 1 |
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