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Application of a Deep Learning-based Facial Pain Recognition Model for Postoperative Pain Assessment

Application of a Deep Learning-based Facial Pain Recognition Model for Postoperative Pain Assessment

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300078437
Enrollment
Unknown
Registered
2023-12-08
Start date
2023-12-10
Completion date
Unknown
Last updated
2023-12-10

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

Conditions

postoperative pain

Interventions

Simulated Pain Dataset Group (s).:NA
Clinical Pain Dataset Group (c):NA

Sponsors

The First Affiliated Hospital of Zhengzhou University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: (1) Aged 18 years and above; (2) Patients scheduled for surgery in the central operating room; (3) Physically healthy volunteers capable of tolerating appropriate pain stimuli; (4) Informed about the study plan and voluntarily signed an informed consent form.

Exclusion criteria

Exclusion criteria: (1) Patients or volunteers with facial deformities or trauma; (2) Experimental data that is blurry and unidentifiable during the filming process; (3) Volunteers with a history of hypertension, diabetes, or cardiovascular and cerebrovascular diseases.

Design outcomes

Primary

MeasureTime frame
pain ratings;facial expression;—

Countries

China

Contacts

Public ContactYang Jianjun

The First Affiliated Hospital of Zhengzhou University

yjyangjj@126.com+86 133 5773 9238

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026