Gait Training and Artificial Intelligence

South Valley University

Status: Enrolling

Conditions: Above Knee Amputation; Amputation

Treatments: Device: Artificial Intelligence

Study type: Interventional

Funder types: Other

Identifiers

NCT07265154

P.T.REC/012/004661

Details and patient eligibility

About

Effect of Using Artificial Intelligence on Gait Training in Above Knee Amputation Patients

Enrollment: 40 estimated patients

Sex: All

Ages: 16 to 50 years old

Volunteers: No Healthy Volunteers

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.

Trial design

Primary purpose: Treatment

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Quadruple Blind

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40 participants in 2 patient groups

group A

Experimental group

Description:

Gait Training Using Artificial Intelligence

Treatment:

Device: Artificial Intelligence

group B

No Intervention group

Description:

Traditional Physical Therapy Program