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Research on predicting the sleep status of orthopedic pain patients based on machine learning

A study on the consistency of portable wearable devices and VAS scores on clinical pain evaluation based on the theory of "outside the department" of traditional Chinese medicine

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ITMCTR
Registry ID
ITMCTR2025000343
Enrollment
Unknown
Registered
2025-02-19
Start date
2020-12-31
Completion date
Unknown
Last updated
2025-03-03

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

Conditions

pain

Interventions

Observers:Record based on actual intervention measures

Sponsors

Zhejiang Chinese Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: (1) Age between 18-60 years old hospitalized due to pain; (2) No history of chronic diseases or major illnesses no immunodeficiency; (3) The physical examination before the experiment showed that the subjects' subjective feelings eating habits physiological indicators (symptoms and signs such as blood pressure and heart rate) blood routine blood biochemistry (transaminase serum total protein albumin urea creatinine blood lipids blood glucose etc.) and physical examinations (chest X-ray electrocardiogram abdominal ultrasound examination) were all normal.

Exclusion criteria

Exclusion criteria: (1) Pregnant or lactating women; (2) Patients with severe illnesses such as heart brain liver kidney and hematopoietic system as well as psychiatric disorders; (3) Those whose incomplete data affects the efficacy or safety assessment; (4) Taking food or medication related to pain before inclusion may affect the judgment of the results.

Design outcomes

Primary

MeasureTime frame
VAS scores;Sleep time;

Countries

China

Contacts

Public ContactYu Yikang

Zhejiang Chinese Medical University

1010002697@qq.com17816890095

Outcome results

None listed

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