Gait Training and Balance Using Artificial Intelligence
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age16-50
SponsorSouth Valley University
About this trial
Effect of Using Artificial Intelligence on Gait Training and Balance in Above Knee Amputation Patients
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
All patients have above-knee amputations.
All patients have no other neurological diseases affecting gait.
All patients have no other neurological diseases affecting muscle balance.
All patients have no other complications affecting joint ROM.
Disqualifiers
Patients have any complications affecting joint ROM.
Patients have any neurological condition affecting muscle balance.
Patients have any neurological condition affecting gait.
Trial design
Design model
Parallel
Treatments tested in this trial
Artificial Intelligence
Deviceusing artificial intelligence in gait and balance training for above knee amputee
Treatment groups
40 Participants
are divided into 2 treatment groupsGroup A: group AExperimental treatment 1 intervention
Group B: group BNo intervention 0 interventions
Trial outcomes
Primary outcomes
1
Medio-lateral Stability Index (MLSI)
Medio-lateral Stability Index (MLSI) represents fluctuations from the horizontal around the mediolateral axis
Time frame
Day 0, Day 902
Anterior-posterior Stability Index (APSI)
Anterior-posterior Stability Index (APSI) represents fluctuations from the horizontal around the anteroposterior axis
Time frame
Day 0, Day 903
Overall Stability Index (OSI)
Overall Stability Index (OSI) a composite of MLSI and APSI so it is sensitive to changes in both directions
Time frame
Day 0, Day 90Sponsors and contacts
Click on the lead sponsor to view all of their trials.
South Valley University
Lead sponsor
Badr University
Collaborator
Benha University
Collaborator
Al Salam University
Collaborator
Source ClinicalTrials.gov