Development and validation of an artificial intelligence model to detect restless movements using motion sensors

Development and validation of a restless behavior detection model using Inertial Measurement Unit sensors and healthy person data - Inertial Measurement Unit-based Restless behavior Estimation and Sensing Technology Study: IMU-REST STUDY

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000059576

Enrollment

Registered

2025-12-01

Start date

2025-12-13

Completion date

Unknown

Last updated

2026-09-14

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

Conditions

None

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: healthy person

Exclusion criteria

Exclusion criteria: Individuals under the age of 18 Individuals with underlying musculoskeletal conditions or a history of collagen diseases Individuals with a pacemaker implant Individuals who did not consent to the study

Design outcomes

Primary

Measure	Time frame
F1 Score for Target Location Estimation Using Convolutional Neural Networks (CNN)	—

Secondary

Measure	Time frame
Sensitivity Specificity Accuracy AUC etc.	—

Countries

Japan

Contacts

Public ContactRYUTO YOKOYAMA

Yamagata University Faculty of Medicine Department of Emergency and Critical Care Medicine

ryusi0311@gmail.com08055544587

Outcome results