The Prediction and Prevention of Disease by Using Big Data in Motion Analysis

Not Applicable

• Conditions: Ankylosing Spondylitis; Adolescent Idiopathic Scoliosis; Gait Analysis
• Interventions: Device: Inertial measurement unit sensor-based gait analysis system

• Registration Number: NCT04867148
• Lead Sponsor: Pusan National University Hospital

Brief Summary

Variable patterns of gait disturbance can be found in patients with spine disease including the problems of gait initiation, freezing of gait, reduced balance and postural control, reduced step lengths, increased step times, and slow walking speed.

Detailed Description

Not available

Study Timeline

• Study Start: 2019-09-01
• Primary Completion: 2020-02-20
• Status Verified: 2021-04
• Study First Submitted: 2021-04-27
• Study First Submitted QC: 2021-04-27
• Last Update Submitted: 2021-04-27
• Study First Posted: 2021-04-30
• Last Update Posted: 2021-04-30
• Study Completion: 2022-12-31

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 2000

Inclusion Criteria

• Pusan National University Hospital orthopedics, otorhinolaryngology, neurology outpatient or inpatient who agreed to the study.
• For adult men and women 18 years of age or older.

Exclusion Criteria

• Patients unable to walk independently.

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Arm && Interventions

Group	Intervention	Description
Gait analysis	Inertial measurement unit sensor-based gait analysis system	Gait analysis of patients with ankylosing spondylitis, patients with adoldescent idiopathic scoliosis and control group.

Primary Outcome Measures

Name	Time	Method
gait asymmetry	for 1minute walking	comparing the swing times performed by one leg with respect to the swing times performed by the other, according to the following formula: GA = 100 x ln(SSWT/LSWT)

Trial Locations

Locations (1)

Pusan National University Hospital; 🇰🇷 Busan, Seo-gu, Korea, Republic of