NCT06793176

Vibraimage Technology for Detecting Depression in Psychiatric Outpatients

Diagnostic Accuracy of Vibraimage Technology for Detecting Depression in a Psychiatric Outpatient Setting

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 601 (actual)
• Sponsor: Peking University People's Hospital · Academic / Other
• Sex: All
• Age: 18 Years – 70 Years
• Healthy volunteers: Accepted

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

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Video 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.

Timeline

• Start date: 2025-01-26
• Primary completion: 2025-03-01
• Completion: 2025-03-01
• First posted: 2025-01-27
• Last updated: 2025-03-05

Locations

1 site across 1 country: China