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Construction of monitoring camera system for medical use with the function of recogniting the facial imformation.

Construction of monitoring camera system for medical use with the function of recogniting the facial imformation. - Construction of the medical monitoring camera system.

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000032012
Enrollment
1400
Registered
2022-04-01
Start date
2018-04-01
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

The patients aged 20 years or older who are entered at the intensive care unit.

Interventions

None listed

Sponsors

Yokohama city university school of medicine
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: All patients entering the intensive care unit

Exclusion criteria

Exclusion criteria: Patients who are unable to agree to participate in this study Patients deemed inappropriate as subjects by physicians

Design outcomes

Primary

MeasureTime frame
The primary outcome is the correct answers rate of the prediction model which is constructed the machine learning. The correct answer of the prediction model is as follow, RASS, BPS: perfect maching or difference within 1 point. VAS: perfect maching or difference within 10mm. GCS: The maching of the 2 or full items After the second year of research, we will incorporate the data obtained in the previous year into the model, and update the evaluation of the accuracy rate every year.

Countries

Japan

Contacts

Public ContactShunsuke Takaki

Yokohama city university school of medecine Department of Anesthesiology and Critical Care Medicine

shunty5323@gmail.com+81457872800

Outcome results

None listed

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