PPG and EDA dataset collected with Empatica E4 for stress assessment

Abstract

In response to challenging circumstances, the human body can experience marked levels of anxiety and distress. Wearable devices offer a means of real-time and ongoing data collection, facilitating personalized stress monitoring. Therefore, we collected physiological signals (blood pressure volume and electrodermal activities), using Empatica E4, from 29 subjects. A personalized protocol was developed to cause cognitive, mental, and psychological stressors since they are the ones that can be experienced in working or academic environment. We also propose a pipeline to clean and process these two signals to maximize the quality of further analysis. This study aids in the comprehension of the complex connection between stress and working situations by offering a sizable dataset made up of different physiological data. It additionally enables them to create cutting-edge stress-reduction techniques and improving professional achievement while lessening the negative impact of stress on welfare.

Keywords: Electrodermal activity; Electronic devices; Photoplethysmography; Stress detection; Wearable sensors.

Fig. 1

Data acquisition protocol: the blue blocks represent the rest segments while the red ones report the five tasks and their duration.

Fig. 2

EDA and PPG pre-processing steps. There are two flowcharts: the light blue one represents the PPG pre-processing steps while the yellow one shows the decision process to discard some segments; instead, the purple one represents the different phases to clean the EDA signals.