Depression
Conditions
Brief summary
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.
Interventions
DIAGNOSTIC_TESTVideo capture
A 20-second video capture of head-neck movements at high frame rates is conducted for all participants to obtain high-resolution images. The captured videos are analyzed using an algorithm based on Vibraimage technology to infer whether the participants have depression.
Sponsors
Beijing HuiLongGuan Hospital
Peking University People's Hospital
Study design
Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 70 Years
Healthy volunteers
Yes
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)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| discrimination | Participants undergo video capture and same-day clinical diagnosis by a physician. Video analysis and suggestive diagnosis are completed on the following day. | The primary outcome measure is the diagnostic discrimination of Vibraimage technology for depression, assessed by calculating the area under the receiver operating characteristic (ROC) curve. Participants first undergo video capture, followed by a clinical diagnosis of depression by a physician. Both the physician and participants are blinded to the results of the video analysis. |
Countries
China
Outcome results
None listed