Risk stratification of diabetic foot ulceration based on foot pressure patterns while walking using machine learning

Risk stratification of diabetic foot ulceration based on foot pressure patterns while walking using machine learning - ML-based risk stratification of DFU by plantar pressure pattern classification

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000036366

Enrollment

100

Registered

2019-04-01

Start date

2018-09-28

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

Type 2 diabetes Peripheral arterial disease Healthy elderly people

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1.Ambulatory diabetic patients or patients with minor amputation history due to insufficient blood flow. 2.Patients consent to participate in this study.

Exclusion criteria

Exclusion criteria: 1.Patients have a pain in knee or hip while walking. 2.Non-ambulatory patients without orthosis due to cerebrovascular disease.

Design outcomes

Primary

Measure	Time frame
DFU formation.(Classification of DFU formation risk)	—

Secondary

Measure	Time frame
Validity of evaluation method of DFU formation risk.	—

Countries

Japan

Contacts

Public ContactHisae Hayashi

Seijoh University Faculty of Rehabilitation and Care

hisaehayashi@seijoh-u.ac.jp052-601-6000

Outcome results