Abstract
The experiment presented in this study aimed at eliciting two affective states at pre-determined periods including relaxation and stress using various stressors. We advance the hypothesis that it is possible to observe patterns and variations in physiological signals caused by mental stress. In this chapter, an exhaustive description of the experimental protocol for signal acquisition is provided to ensure both reproducibility and repeatability. Details are presented on the whole process from the choice of sensors and stressors to the experimental design and the collected data so that the potential user of our database can have a global view and a deep understanding of the data.
Four physiological signals are recorded throughout the experiment in order to study their correlation with mental stress: electrocardiogram (ECG), photoplethysmogram (PPG), electrodermal activity (EDA) and electromyogram (EMG).
A statistical analysis is carried out for preliminary results and for protocol validation before a deeper analysis using artificial intelligence algorithms in future work.
Supported by INSEAD-Sorbonne University Behavioural Lab.
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Acknowledgements
Authors would like to thank Idex Sorbonne University for funding this experimental study as part of french state support for ”Investissements d’Avenir program”. Also thanks to all the subjects and to INSEAD lab for their expertise in participant recruitment and management which made the process extremely easier.
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Benchekroun, M., Istrate, D., Zalc, V., Lenne, D. (2023). A Multi-Modal Dataset (MMSD) for Acute Stress Bio-Markers. In: Roque, A.C.A., et al. Biomedical Engineering Systems and Technologies. BIOSTEC 2022. Communications in Computer and Information Science, vol 1814. Springer, Cham. https://doi.org/10.1007/978-3-031-38854-5_19
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