Motion analysis and development of training algorithm for fall prevention in older adults

Motion analysis and development of training algorithm for fall prevention in older adults - Motion analysis and development of training algorithm for fall prevention in older adults

Status

Recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000048115

Enrollment

Registered

2022-06-20

Start date

2022-06-21

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

Community-dwelling older adults

Interventions

gait training

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Age 65 years and over Able to walk indoors without a cane independently or with supervision.

Exclusion criteria

Exclusion criteria: A history of hospitalization or surgery within the past 3 months. Pain affecting walking due to osteoarticular disease, etc. Unable to understand the instructions due to cognitive impairment, etc.

Design outcomes

Primary

Measure	Time frame
Changes in performance during a dual-belt treadmill training	—

Secondary

Measure	Time frame
Change in balance ability Change in fall efficacy Change in number of falls Changes in temporal-spatial parameters during level walking Change in cognitive function	—

Countries

Japan

Contacts

Public ContactMasanori Wakidam

Kansai Medical University Faculty of Rehabilitation

wakidam@makino.kmu.ac.jp0728562318

Outcome results

None listed

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