Gait Training and Balance Using Artificial Intelligence

N/ARecruitingNCT07265154

South Valley University40 enrolled

Overview

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

Study Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

TREATMENT

Masking

QUADRUPLE

Enrollment

Conditions

Above Knee Amputation Amputation

Interventions

Artificial IntelligenceDEVICE

using artificial intelligence in gait and balance training for above knee amputee

Eligibility

Sex: ALLMin age: 16 YearsMax age: 50 Years

Medical Language ↔ Plain English

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.

Locations (1)

Faculty of Physical Therapy,

Banhā, Benha, Egypt

RECRUITING

Outcomes

Primary Outcomes

Medio-lateral Stability Index (MLSI)

Medio-lateral Stability Index (MLSI) represents fluctuations from the horizontal around the mediolateral axis

Time frame: Day 0, Day 90

Anterior-posterior Stability Index (APSI)

Anterior-posterior Stability Index (APSI) represents fluctuations from the horizontal around the anteroposterior axis

Time frame: Day 0, Day 90

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 90

Central Contacts

Mohammed E. Ali, PhD

CONTACT

+201011212425 m.essam@svu.edu.eg

Data from ClinicalTrials.gov

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