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Effectiveness of dementia muffs in physically restrained patients. -Validation of facial emotion recognition AI and symptom change-.

Effectiveness of dementia muffs in physically restrained patients. -Validation of facial emotion recognition AI and symptom change-. - Effectiveness of dementia muffs in physically restrained patients. -Validation of facial emotion recognition AI and symptom change-.

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-UMIN000056763
Enrollment
54
Registered
2025-02-01
Start date
2025-02-01
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

Patients requiring physical restraint

Interventions

The filming starts (for approximately 1 minute) with the patient in physical restraints between 9:00 and 17:00 during the day shift. The restraints are removed and a muff is applied. After the muff is
s safety. Before and after the patient wears the dementia muff, a video of the patient&#39
s facial expressions is taken in about one minute, and the recorded video is analysed by MAL Face Emotion using AI analysis. The average value of facial emotions when using the dementia muff is evalua

Sponsors

Nara Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1 This category includes those who are eligible for Dementia Care Team rounds and still require physical restraints. 2 There are no restrictions on gender, disease name, or treatment method.

Exclusion criteria

Exclusion criteria: (1) Patients who take measures against contact infection, droplet infection and airborne infection. (2) Patients with severe facial injuries and inability to recognise facial expressions. (3) Patients who have difficulty in obtaining consent.

Design outcomes

Primary

MeasureTime frame
Five emotion averages for NUTRAL, SAD, SURPRISE, HAPPY and ANGRY using facial emotion recognition AI.

Countries

Japan

Contacts

Public ContactShogo Sasaki

Nara Medical University Department of Rehabilitation Medicine

rehaka@naramed-u.ac.jp0744-22-3051

Outcome results

None listed

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