Vibraimage Technology for Detecting Depression in Psychiatric Outpatients
Diagnostic Accuracy of Vibraimage Technology for Detecting Depression in a Psychiatric Outpatient Setting
Diagnostic Accuracy of Vibraimage Technology for Detecting Depression in a Psychiatric Outpatient Setting
Sponsor study identifier
observational
601
1 country
1
Study Start
January 26, 2025
Actual (reported)Primary Completion
March 1, 2025
Actual (reported)Study Completion
March 1, 2025
Actual (reported)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.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
March 1, 2025
Actual (reported)Click on a node to explore related trials.
Some registry-reported names shown below are not yet linked in this graph.
Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
January 20, 2025
Actual (reported)January 26, 2025
Actual (reported)January 27, 2025
Actual (reported)March 1, 2025
Actual (reported)March 1, 2025
Actual (reported)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.
This group consists of individuals who were ultimately diagnosed with depression by a specialist physician.
This group consists of individuals who were ultimately diagnosed as not having depression by a specialist physician.
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.
Registry-reported names are shown in full. Names without a link have not yet been matched to a Syfrah profile.
Psychiatric outpatients attending the Beijing Huilongguan Hospital during the study period.
Beijing HuiLongGuan Hospital
Beijing, 100096, China
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.
601 participants (actual enrollment reported by the registry).
First Submitted
January 20, 2025
First Posted
January 27, 2025
Study Start
January 26, 2025
Actual (reported)EEG-Triggered rTMS and Group Therapy for Adolescents With Depression and Self-Harm
Contact the study team to confirm eligibility.
Primary Completion
March 1, 2025
Actual (reported)Study Completion
March 1, 2025
Actual (reported)Last Updated
March 5, 2025
Record last verified: 2025-03
De-identified individual participant data will be made available to qualified researchers upon reasonable request. Data sharing will be subject to approval by the principal investigator (PI) and the study sponsor.
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Source: ClinicalTrials.gov.
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