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Estimation of Skeletal Muscle Mass Using Digital Images and Machine Learning

Estimation of Skeletal Muscle Mass Using Digital Images and Machine Learning - Estimation of Skeletal Muscle Mass Using Digital Images

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-UMIN000057006
Enrollment
100
Registered
2025-02-14
Start date
2025-02-14
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

Healthy adults

Interventions

Measurement of body weight and skeletal muscle mass using InBody: Body weight and skeletal muscle mass of the limbs will be measured in a standing position. The Skeletal Muscle mass Index (SMI) will

Sponsors

Kurume University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: (1) Those who have provided written consent to participate in the research (2) Individuals aged 18 years or older

Exclusion criteria

Exclusion criteria: (1) Those who have difficulty maintaining a standing position (2) Those with edema or similar conditions in the lower leg (3) Those with implanted medical devices such as cardiac pacemakers (4) Those with any limb amputation (5) Those with metal implants or bolts in their body (6) Those who are pregnant or possibly pregnant (7) Those with a history of fractures or ligament injuries in the lower limbs (8) Those with a history of central or peripheral nervous system disorders (9) Those deemed unsuitable as research subjects by the principal investigator and co-investigators

Design outcomes

Primary

MeasureTime frame
Digital image (single evaluation time point)

Secondary

MeasureTime frame
age, sex, height, weight, Body Mass Index, skeletal muscle mass, calf circumference, grip strength, lower leg length (single evaluation time point)

Countries

Japan

Contacts

Public ContactHiroo Matsuse

Kurume University Hospital Department of Rehabilitation

matsuse_hiroh@kurume-u.ac.jp0942-35-3311

Outcome results

None listed

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