Vibraimage Technology for Detecting Depression in Psychiatric Outpatients

NCT06793176 | Completed

• 1 other identifier: Vibraimage_Psychiatric
• Study Type: observational
• Target: 601
• Locations: 1 country
• Sites: 1

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.

Conditions

Depression

Outcome Measures

Primary Outcomes (1)

• discrimination

  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.

  Participants undergo video capture and same-day clinical diagnosis by a physician. Video analysis and suggestive diagnosis are completed on the following day.

Study Arms (2)

Depressed Group

This group consists of individuals who were ultimately diagnosed with depression by a specialist physician.

Diagnostic Test: Video capture

Non-Depressed Group

This group consists of individuals who were ultimately diagnosed as not having depression by a specialist physician.

Diagnostic Test: Video capture

Interventions

Video capture DIAGNOSTIC_TEST

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.

Depressed Group; Non-Depressed Group

Eligibility Criteria

• Age: 18 Years - 70 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

Psychiatric outpatients attending the Beijing Huilongguan Hospital during the study period.

You may qualify if:

• 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.

You may not qualify if:

• 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)

Sponsors & Collaborators

• Peking University People's Hospital: lead
• Beijing HuiLongGuan Hospital: collaborator

Study Sites (1)

Beijing HuiLongGuan Hospital

Beijing, 100096, China

Location

Related Publications (1)

• Jiang B, Zhang Y, Xie Z, Wu Z, Ma Y, Zhang X, Feng Y. A novel non-contact screening tool based on Vibraimage technology for detecting depressive disorder in psychiatric outpatients: A diagnostic accuracy study. J Affect Disord. 2026 Jan 1;392:120232. doi: 10.1016/j.jad.2025.120232. Epub 2025 Sep 2.

  PMID: 40907713 DERIVED

MeSH Terms

Conditions

Depression

Condition Hierarchy (Ancestors)

Behavioral Symptoms; Behavior

Study Design

• Study Type: observational
• Observational Model: CASE CONTROL
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Professor

Study Record Dates

• First Submitted: January 20, 2025
• First Posted: January 27, 2025
• Study Start: January 26, 2025
• Primary Completion: March 1, 2025
• Study Completion: March 1, 2025
• Last Updated: March 5, 2025

Record last verified: 2025-03

Data Sharing

• IPD Sharing: Will share

Locations

CN (1)