Above Knee Amputation, Amputation
Conditions
Keywords
Amputation, Above Knee Amputation, Artificial Intelligence, Gait training, Balance
Brief summary
Effect of Using Artificial Intelligence on Gait Training and Balance in Above Knee Amputation Patients
Interventions
DEVICEArtificial Intelligence
using artificial intelligence in gait and balance training for above knee amputee
Sponsors
South Valley University
Badr University
Benha University
Al Salam University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
QUADRUPLE (Subject, Caregiver, Investigator, Outcomes Assessor)
Eligibility
Sex/Gender
ALL
Age
16 Years to 50 Years
Healthy volunteers
No
Inclusion criteria
* 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.
Exclusion criteria
* Patients have any complications affecting joint ROM. * Patients have any neurological condition affecting muscle balance. * Patients have any neurological condition affecting gait.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Medio-lateral Stability Index (MLSI) | Day 0, Day 90 | Medio-lateral Stability Index (MLSI) represents fluctuations from the horizontal around the mediolateral axis |
| Anterior-posterior Stability Index (APSI) | Day 0, Day 90 | Anterior-posterior Stability Index (APSI) represents fluctuations from the horizontal around the anteroposterior axis |
| Overall Stability Index (OSI) | Day 0, Day 90 | Overall Stability Index (OSI) a composite of MLSI and APSI so it is sensitive to changes in both directions |
Countries
Egypt
Contacts
CONTACTMohammed E. Ali, PhD
Outcome results
None listed