Clinical Diagnosis of Chronic Stress Using Bio-Signals Within the Framework of Industrial Revolution 4.0

Abstract

New proposals and tools provided by Industry 4.0 and the elements of intelligent classification have removed the barrier to analysis of previously unmeasurable conditions, such as stress and the emotional spectrum. Stress is a well-known condition in industrial work environments and although it is a necessary biological function, in high doses, it becomes a chronic condition capable of triggering dangerous diseases. This paper seeks to show an approach to the smart technological diagnosis of chronic stress within a workplace environment, with the goal to promote compliance of new norms of worker welfare that are found within the social section of Industry 4.0. In this context, we discuss both acute stress and chronical stress. Acute stress is the common stress found for a short period of time when the body needs to adapt to an unknown or unexpected situation; in contrast, chronic stress is present as a result of constant stressful stimuli and becomes the body’s new norm. To accurately give a clinical diagnosis for chronic stress in an industrial environment, a full framework for emotional detection with a real-time diagnosis approach is required, as is referencing a practical case of study for industrial applications. The result of such analysis is a better understanding of the current challenges and opportunities, as well as tools for a more human oriented company all in a full technological cybermedicine diagnosis.