Faculty of Physical Therapy,
Banhā, Benha, 83523, Egypt
Location status: Recruiting
Location contact
Mohammed Ali, PhD
CONTACT
Mohammed E. Ali, PhD
PRINCIPAL_INVESTIGATOR
Nehad A. Abo-zaid, PhD
PRINCIPAL_INVESTIGATOR
CONTACT
NCT Number: NCT07265154
Effect of Using Artificial Intelligence on Gait Training in Above Knee Amputation Patients
Interested in participating?
Request Info16 year–50 year
All sexes
Interventional
Not applicable
Banhā, Benha, 83523, Egypt
Location status: Recruiting
Mohammed Ali, PhD
CONTACT
Mohammed E. Ali, PhD
PRINCIPAL_INVESTIGATOR
Nehad A. Abo-zaid, PhD
PRINCIPAL_INVESTIGATOR
CONTACT
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
using artificial intelligence in gait training for above knee amputee
Time frame: Day 0, Day 30
Medio-lateral Stability Index (MLSI) represents fluctuations from the horizontal around the mediolateral axis
Time frame: Day 0, Day 30
Anterior-posterior Stability Index (APSI) represents fluctuations from the horizontal around the anteroposterior axis
Time frame: Day 0, Day 30
Overall Stability Index (OSI) a composite of MLSI and APSI so it is sensitive to changes in both directions
Contact information is provided by the study sponsor or research team.
South Valley University
Other
Gait Training in Above Knee Amputation Patients Using Artificial Intelligence
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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