Vibraimage Technology for Detecting Depression in Psychiatric Outpatients

Peking University

Status

Completed

Conditions

Depression

Treatments

Diagnostic Test: Video capture

Study type

Observational

Funder types

Other

Identifiers

NCT06793176

Vibraimage_Psychiatric

Details and patient eligibility

About

Vibraimage technology captures high-frame-rate images of head-neck movements, converting them into vibraimages that display muscle vibration amplitude and frequency. Using algorithms and calculations, it derives an emotional index from these images. This non-contact, objective method analyzes psychological indicators through micro-movement detection. An algorithm has been developed to detect depression by calculating 12 emotional and 2 psychophysiological parameters. This diagnostic accuracy study aims to validate the technology's ability to diagnose depression in psychiatric outpatients.

Enrollment

601 patients

Sex

All

Ages

18 to 70 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

Aged 18 to 70 years.
No difficulties in reading or writing Chinese; fluent in Mandarin.
Currently not taking psychotropic medications or on a stable dose for at least 6 weeks.
Provided informed consent to participate in the study.

Exclusion criteria

Schizophrenia.
Bipolar disorder.
History of organic brain disease or significant head trauma.
Presence of severe systemic medical conditions.
Suicidal ideation or a score ≥3 on Item 3 ("Suicide") of the 17-item Hamilton Depression Rating Scale (HAMD-17).
Substance dependence or abuse.
Intellectual disability or dementia.
Inability to complete video capture or cooperate due to uncontrollable factors (e.g., hyperactivity, Parkinson's disease, or other conditions that prevent remaining still)