Detailed presentation of the research activities of the PMH_DYSCO team
The team is interested in the physiological and motor indices that characterise the state, change of state and performance of one or more individuals confronted with physical/mental workloads (cognitive load) applied separately or jointly, in the short/long term (learning, training). These physiological and motor indices are calculated from non-linear analyses of biosignals that result from the dynamics of physiological control systems in humans: cardiac autonomic control, postural control, or cognitive-motor control. Each of these signals is characterised by complex fluctuations that are not similar to white noise, but reflect the coordination of interactions between the components of the system. Entropy and/or multifractality markers reflect the dynamic organisation of these networks, as well as the cognitive architecture that allows for safety, comfort and performance in task performance.
