Automatic Detection and Prediction of the Transition Between the Behavioural States of a Subject Through a Wearable CPS

The PRESLEEP project is aimed at the fine assessment and validation of the proposed proprietary methodology/technology, for the automatic detection and prediction of the transition between the behavioural states of a subject (e.g. wakefulness, drowsiness and sleeping) through a wearable Cyber Physical System (CPS). The Intellectual Property (IP) is based on a combined multi-factor and multi-domain analysis thus being able to extract a robust set of parameters despite of the, generally, low quality of the physiological signals measured through a wearable system applied to the wrist of the subject. An application experiment has been carried out at AVL, based on reduced wakefulness maintenance test procedure, to validate the algorithm’s detection and prediction capability once the subject is driving in the dynamic vehicle simulator

OC12: Extended Granger Causality for Instantaneous Effects in Cardiovascular and Cardiorespiratory Regulations

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HP09: Cardiac reactivity to electric brain stimulations: A SEEG study

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Brain activity sustaining the modulation of pain by empathetic comments

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Pain and emotion as predictive factors of interoception in fibromyalgia

Céline Borg,1–3 Florian Chouchou,4 Jenny Dayot-Gorlero,3 Perrine Zimmerman,1 Delphine Maudoux,5 Bernard Laurent,1,4 George A Michael3 1Neurology/Neuropsychology CMRR Unit, Hospital Nord, Saint-Priest-en-Jarez, France; 2Department of Psychology, University of Lyon, Lyon, France; 3Université de Lyon, Université Lyon 2, Laboratory EMC (EA 3082), Bron, France; 4Central Integration of Pain (NeuroPain), Inserm U1028, UCB Lyon1, Saint-Etienne, France; 5EA SNA-EPIS, Department of Clinical and Exercise Physiology, CHU de Saint-Etienne, Saint-Etienne, France Introduction: This study investigated interoception in fibromyalgia (FM), a disorder characterized by chronic pain accompanied by mood deregulation. Based on observations on the relationship between somatosensory processing and pain in FM and considering the affective symptoms of this disorder, we tested in FM three dimensions of interoception: interoceptive accuracy (IA), interoceptive awareness (IAW) and interoceptive sensibility (IS).Materials and methods: Twenty-one female FM patients (Mage = 50.3) and 21 female matched controls (Mage = 46.3) completed a heartbeat tracking task as an assessment of IA, rated confidence in their responses as a measure of IAW and completed the Multidimensional Assessment of Interoceptive Awareness as a measure of IS. Furthermore, they completed self-report scales that, according to a principal component analysis, targeted anxiety, emotional consciousness and pain-related affect and reactions.Results: Multiple regression analyses showed that increased pain-related affect and reactions decrease IA in FM. When the results of each group were examined separately, such effect was found only in FM patients. On its turn, IS was predicted by emotional consciousness and pain-related affect and reactions, but these effects did not differ between FM and controls. Finally, none of the variables we used predicted IAW.Discussion: Pain-related affect and reactions in FM patients can reduce their interoceptive ability. Our results help to better understand the integration between bodily signals and emotional processing in chronic pain. Keywords: fibromyalgia, interoception, heartbeat perception, pain, emotio

Anatomy and physiology of the autonomic nervous system: Implication on the choice of diagnostic/monitoring tools in 2023

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Does an observer's empathy influence my pain? Effect of perceived empathetic or unempathetic support on a pain test

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Anatomy and physiology of the autonomic nervous system: Implication on the choice of diagnostic/monitoring tools in 2023

International audienc