Technical Solution for Burnout, the Modern Age Health Issue

This world, the way we know it, dramatically changes every day due to unexpected technological developments with high influence on human wellbeing and health. Today, more than ever, the employees experience high demanding regarding their performance at work with direct consequences on personal comfort, leading, in most of cases, to an undesired burnout state. Early detection of the burnout state with the support of a wearable device is presented in this work. Based on data acquisition followed by local and remote optical wireless communication (OWC) technology, the Heart Rate (HR), the peripheral capillary oxygen saturation (SpO2) as well as Galvanic Skin (GS) values are analyzed and a fast estimation of burnout state is obtained due to artificial neuronal network (ANN). Burnout state early detection allows to increase individual, both body and mind health condition. The solution from this paper has two main advantages. The first is related to the correlation between the results of the quantitative research through questionnaires and of the qualitative research through physiological parameters measurement done by an ANN. The second is related to real-time burnout state estimation based only on measurements and without any outside communication of data, the only protocol for device setup is OWC, that ensures safety and privacy of data.