Face the Needle: Predicting Risk of Fear and Fainting During Blood Donation Through Video Analysis

Publication date

2024-07-11

Authors

Rudokaite, Judita
Ertugrul, Itir OnalISNI 0000000512566076
Ong, L. L.Sharon
Janssen, Mart P.
Huis In't Veld, Elisabeth

Editors

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

taverne

Abstract

There are physiological, hormonal and psychological markers that occur early in a procedure involving needles. These so-called vasovagal reactions range from feeling nauseous, dizzy, to completely passing out. In an early stage, they are difficult to measure and self-report before it is too late to prevent them. This study aims to explore different features from regular video and thermal facial video recordings of blood donors in the waiting room, prior to a blood donation procedure, in order to assess to what extent it is possible to predict whether a donor will experience a low or high level of vasovagal reaction later on during the blood donation. The results showed that the best performance was achieved using pre-trained ResNet152 models with GRU on a continuous video stream, achieving an F1 of 0.69, a PR-AUC score of 0.81, and an MCC score of 0.56. This model also achieved a precision of 0.52, recall of 0.94, F1 score of 0.67, and MCC score of 0.42 on new, previously unseen mobile video data. Although the model requires further improvement, it outperforms self-reported vasovagal reaction scores and shows the potential to predict who is at risk of experiencing vasovagal reactions using facial video data.

Keywords

Taverne, Computer Vision and Pattern Recognition, Signal Processing, Modelling and Simulation

Citation

Rudokaite, J, Ertugrul, I O, Ong, L L S, Janssen, M P & Huis In't Veld, E 2024, Face the Needle : Predicting Risk of Fear and Fainting During Blood Donation Through Video Analysis. in 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition, FG 2024. 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition, FG 2024, IEEE, 18th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2024, Istanbul, Turkey, 27/05/24. https://doi.org/10.1109/FG59268.2024.10581999, conference