Forecasting daily physical discomfort using unobtrusive sensors

Forecasting daily physical discomfort through unobtrusive sensor signal analyses - Forecasting daily physical discomfort through unobtrusive sensor signal analyses

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000048763

Enrollment

Registered

2022-09-15

Start date

2022-09-15

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

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Healthy person engaged in desk works more than 3 days/week for more than 1 year. 2. Owns smartphone and agrees to access to google forms 4 times/day for discomfort level report. 3. Agrees to install a web-camera that records the head movement during work.

Exclusion criteria

Exclusion criteria: 1. Under clinical management for headache, neck pain, or low back pain in clinics. 2. Under clinical management of glaucoma or cataract. 3. Pregnant or possible pregnancy

Design outcomes

Primary

Measure	Time frame
Worsening of neck pain/headache/low back pain/eye strain	—

Secondary

Measure	Time frame
Subjective efficiency of work	—

Countries

Japan

Contacts

Public ContactRyoichi Nagatomi

Tohoku University Graduate School of Biomedical Engineering

nagatomi@med.tohoku.ac.jp022-717-8586

Outcome results