New neurometrics based on the analysis of autonomous nervous system activity (WP2,WP3)
The development of novel metrics derived from the analysis of autonomic nervous system (ANS) activity on cardiovascular and respiration control to assess user’s core cognitive processes in mixed reality. ESR6 will be devoted to: 1) Time-varying analysis of heart rate variability (HRV) series as defined in the time and frequency domains, as well as in the complexity/nonlinear domain. Inhomogeneous point-process models for cardiovascular dynamics will be investigated to derive instantaneous correlates of immersive emotional elicitation; 2) Multivariate assessment, including, e.g., cardio-respiratory synchronization and measures of information transfer between peripheral signals to uncover the underlying ANS dynamics that sustains user’s decision-making and cognitive experience in a immersive virtual/mixed reality scenario and 3) Estimation of sympathetic dynamics as derived from electro-dermal activity and combined HRV analysis.
Planned secondments: Psychophysiological signal processing techniques; NEUR (TO; M18-M22): Application of neuro-business techniques.
Diego Candia Rivera
I am Diego Candia Rivera, born and raised in Los Ángeles, Chile. I studied my bachelor’s degrees in Biotechnology and Electrical Engineering at University of Chile (Santiago). I graduated as Electrical Engineer, specialized in Computational Intelligence in 2016 with highest honors. My research experience involves mainly machine learning applications on physiological signal processing. I have been involved from my early career in diversity of projects where research and applied engineering meet. I have previously worked as a Research Engineer in École Normale Supérieure and the Brain and Spine Institute (Paris). I studied patients with severely damaged brain with the aim to diagnose presence of consciousness based on their heart-brain interactions. I have a special interest in how our brains process bodily signals and their influence in ongoing cognitive activity, such as self-awareness, environment perception or affective processing.
“New neurometrics based on the analysis of autonomous nervous system activity (WP2,WP3)”
- Identification of autonomous nervous-system dynamics that sustain specific affective/mental states as elicited through immersive mixed reality
- Methodology to integrate EEG and ANSrelated data.