Vibraimage Technology for Detecting Depression in Psychiatric Outpatients

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.