Research of abnormality detection using electric power consumption data

Research of abnormality detection using electric power consumption data - Research of abnormality detection using electric power consumption data

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000059431

Enrollment

2000

Registered

2025-10-16

Start date

2025-11-01

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

Older people living in the community

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1.Consent to participate in this study 2.Participants who are over 65 years old 3.Participants who are living alone 4.Participants who are installed a smart meter at home

Exclusion criteria

Exclusion criteria: Participants who have requests for exclusion from this research

Design outcomes

Primary

Measure	Time frame
Basic information (Age, gender, primary disease, medical history) Ability assessment (walking speed, grip, cognitive assessment) Electric Power Consumption Data (every 30 minutes) Information of Electric city (Supply Point Specific Number, type of home) The result of AI model	—

Countries

Japan

Contacts

Public ContactYohei Otaka

Fujita Health University Department of Rehabilitation Medicine, School of Medicine

cent-rsh@fujita-hu.ac.jp0562-93-2167

Outcome results