Clinometric gait analysis using smart insoles is significantly correlated with Fugl-Meyer Assessment results in patients with hemiplegia after stroke

Clinometric gait analysis using smart insoles is significantly correlated with Fugl-Meyer Assessment results in patients with hemiplegia after stroke: Pilot study - SI with FM

Status

Recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000041646

Enrollment

Registered

2020-09-02

Start date

2019-12-31

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Finished

Interventions

To confirm the reliability of gait analysis using smart insole technology, normal healthy controls wore insoles in their shoes during the timed up-and-go (TUG) test.

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Ten healthy control subjects and ten patients with hemiplegia due to stroke participated

Exclusion criteria

Exclusion criteria: Patients were excluded if they had musculoskeletal disorders that could affect gait or diabetic complications that could cause peripheral neuropathy.

Design outcomes

Primary

Measure	Time frame
The smart insole gait parameter data were similar to those calculated manually.	—

Countries

Asia(except Japan)

Contacts

Public ContactJong-Hwan Park

Pusan National University Hospital Biomedical Research Institute

parkj@pusan.ac.kr82-51-240-7071

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026