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Research on intelligent syndrome differentiation, physical identification of depression patients based on the emotion recognition model of machine learning algorithm.

Research on intelligent syndrome differentiation, physical identification of depression patients based on the emotion recognition model of machine learning algorithm.

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000038067
Enrollment
Unknown
Registered
2020-09-09
Start date
2020-09-15
Completion date
Unknown
Last updated
2020-11-24

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

Conditions

Depression

Interventions

Sponsors

Beijing University of Chinese Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1. Persons aged 18-70 years; 2. Meet the diagnostic criteria of western medicine for mild and moderate depression, with 7 points < HAMD-21 < 24 points; 3. It conforms to the diagnostic standard of traditional Chinese medicine for depression.

Exclusion criteria

Exclusion criteria: 1. Those who cannot communicate in language; 2. Persons with limited mobility; 3. Those who are suicidal or suicidal; 4. Patients with severe depression; 5. Patients with severe or chronic diseases of the heart, brain, lung, liver, kidney and blood system, acute stage of various diseases and other mental diseases; 6. Patients with a history of alcohol, drug or other substance abuse. 7. Persons with severe visual, hearing and limb dysfunction; Those who meet the above criteria are excluded.

Design outcomes

Primary

MeasureTime frame
ECG (Lead II);BVP;

Secondary

MeasureTime frame
Emotional arousal scale;TCM Constitution Scale;TCM syndrome Differentiation scale for depression;

Countries

China

Contacts

Public ContactHan Zhenyun

Beijing University of Chinese Medicine

tohanzhenyun@sina.com+86 13581647676

Outcome results

None listed

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