Skip to content

Accurate Gait and Balance Assessment for Elderly Patients Based on Inertial Sensors, Motion Capturing System and Big Data Analytics: Model Validation

Accurate Gait and Balance Assessment for Elderly Patients Based on Inertial Sensors, Motion Capturing System and Big Data Analytics: Model Validation

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200061834
Enrollment
Unknown
Registered
2022-07-03
Start date
2022-07-01
Completion date
Unknown
Last updated
2023-04-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Elderly Fall

Interventions

case series:Nil

Sponsors

Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
60 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Will participate in or continue to participate in rehabilitation treatment in hospital within 2 weeks after enrollment; 2. Over 60 years old; 3. Able to walk independently or with a walker; 4. No cognitive impairment or physical impairment; 5. No serious visual impairment; 6. Understand written and spoken Chinese; 7. Can cooperate with health assessment; 8. Volunteer to participate in research; 9. Aware and sign informed consent.

Exclusion criteria

Exclusion criteria: 1. There are other physical injuries or health conditions that affect independent walking; 2. Currently has unstable vital signs (e.g. unstable blood pressure); 3. Has history of epileptic seizures or seizures; 4. Unable to communicate; 5. Emotional instable; 6. Currently participating in drug or other clinical trials.

Design outcomes

Primary

MeasureTime frame
Gait measurement;Balance Assessment;Structured questionnaire;

Countries

China

Contacts

Public ContactZhao Yang

Sun Yat-Sen University

zhaoy393@mail.sysu.edu.cn+86 18925210914

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026