COVID-19 Diagnosis by 5-Second Facial Video Processing Using Vibraimage and Artificial Intelligence

EasyChair Preprint 6689

Abstract

The Covid-19 pandemic spreads in waves for a year and a half, despite significant worldwide efforts, the development of biochemical diagnostic methods and population vaccination. One of the reasons for the infection spread is the impossibility of early disease detection through biochemical diagnostics, since biochemical processes slowly develop in a body. At the same time, well known that behavioral characteristics of a person, measured based on reflex movements, are capable for inertialess assessment of psychophysiological parameters. Vibraimage technology is the method of head micromovements video processing by inter-frame difference accumulation and converting spatial and temporal characteristics of the inter-frame difference into behavioral and psychophysiological parameters. Here we shown that behavioral parameters measured by vibraimage changed during COVID-19 infection. The identification of changes signs in behavioral parameters detected by AI trained on patients and controls. The best diagnostic accuracy (higher 94%) obtained using instantaneous values of behavioral parameters measured with the following vibraimage settings: 10Hz frequency of basic measurements; 25 inter-frame difference accumulations and averaging the diagnostic results over period of at least 5 seconds. COVID-19 diagnoses by behavioral parameters showed earlier (5-7 days) detection of the disease compared to symptoms and positive results of biochemical RT-PCR testing. Proposed method for COVID-19 diagnosis indicates infected persons within 5 seconds video processing using standard television cameras (web, IP) and computers, allows mass testing/selftesting and will stop the pandemic spread.  

Keyphrases: AI, ANN, COVID-19, Vibraimage, behavioral parameters, diagnosis accuracy

@booklet{EasyChair:6689,
  author    = {Viktor Minkin and Valery Akimov},
  title     = {COVID-19 Diagnosis by 5-Second Facial Video Processing Using Vibraimage and Artificial Intelligence},
  howpublished = {EasyChair Preprint 6689},
  year      = {EasyChair, 2021}}