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DOI 10.1111/trf.16832

Медицинская библиотека · Transfusion · 2022

Predicting vasovagal reactions to a virtual blood donation using facial image analysis.

Rudokaite Judita, Ong Lee-Ling Sharon, Janssen Mart P, Postma Eric, Huis In 't Veld Elisabeth

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

People with needle fear experience not only anxiety and stress but also vasovagal reactions (VVR), including nausea, dizziness, sweating, pallor changes, or even fainting. However, the mechanism behind needle fear and the VVR response are not yet well understood. The aim of our study was to explore whether fluctuations in facial temperature in several facial regions are related to the level of experienced vasovagal reactions, in a simulated blood donation.

STUDY DESIGN AND

METHODS

We recruited 45 students at Tilburg University and filmed them throughout a virtual blood donation procedure using an Infrared Thermal Imaging (ITI) camera. Participants reported their fear of needles and level of experienced vasovagal reactions. ITI data pre-processing was completed on each video frame by detecting facial landmarks and image alignment before extracting the mean temperature from the six regions of interest.

RESULTS

Temperatures of the chin and left and right cheek areas increased during the virtual blood donation. Mixed-effects linear regression showed a significant association between self-reported vasovagal reactions and temperature fluctuations in the area below the nose.

DISCUSSION: Our results suggest that the area below the nose may be an interesting target for measuring vasovagal reactions using video imaging techniques. This is the first in a line of studies, which assess whether it is possible to automatically detect levels of fear and vasovagal reactions using facial imaging, from which the development of e-health solutions and interventions can benefit.

Для цитирования: Rudokaite Judita, Ong Lee-Ling Sharon, Janssen Mart P, Postma Eric, Huis In 't Veld Elisabeth. Predicting vasovagal reactions to a virtual blood donation using facial image analysis.. Transfusion. 2022. DOI: 10.1111/trf.16832.

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