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Completed

NCT Number: NCT06793176

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.

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Key information

Conditions

Depression Behavior Behavioral Symptoms

Age range

18 year–70 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Beijing HuiLongGuan Hospital

Beijing, 100096, China

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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)

Treatment and study plan

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.

Primary outcomes

  1. discrimination

    Time frame: 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.

Sponsors and collaborators

Lead sponsor

Peking University People's Hospital

Other

Collaborators

  • Beijing HuiLongGuan Hospital

Registry information

Official study title

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

Important dates

Study start
2025
Primary completion
2025
Study completion
2025
First posted
Jan 27, 2025
Registry last updated
Mar 5, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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