A Novel Public-Private Alliance to Generate Socioeconomic, Biomedical and Technological Solutions for an Inclusive Italian Ageing Society.
The ComPBioS group is involved in the work package 5, task 5 (5.5) of the Spoke 9, which is dedicated to the analysis, development, testing and validation of advanced technological solutions to promote a healthy ageing in the Italian population.
One welfare, one emotion: a look Inside the interaction. Bioengineering solution for the human-horse emotional transfer in neuro-psychological, and social perspectives.
The Human-Horse Interaction (HHI) has gained importance in social and medical contexts, particularly in supporting people with conditions like autism and psychiatric disorders. Most research has focused on the effects of human interaction on horses' behavior, neglecting the emotional dynamics between humans and horses. The OneFeeL project aims to address this gap by monitoring and modeling real-time emotional interactions between humans and horses during standardized interactions. The project focuses on physiological and behavioral responses in both species, using bioengineering, psychology, and medical approaches to study emotional contagion.
ESCAPOS - Environmental energy for Strategic CApillary urban POlicieS (funded by the European Union, Grant Agreement: GAP-101157553).
The Project is aimed at optimizing and testing a new approach both for climate adaptation planning and for monitoring the results of the implemented Municipality's policies and interventions. The integrated operational tool that will be optimised and tested in a pilot area of the Municipality of Florence (Firenze Nova) is the Escapos system, intended to be integrated in the Smart City Control Room of the City, currently under completion. Escapos allows analyzing, studying, balancing, and optimizing the energy flows of any urban system in the perspective of resilient climate mitigation and adaptation. Continuous ante/post-operam monitoring will therefore be carried out in the area (parameters: temperature, humidity, air quality, wind speed and direction, illuminance), performed also with wearable monitoring systems that will be optimised as a product of the project, aimed at dynamically populating the data database and verifying the effectiveness of a series of interventions with an impact on the overall situation of the area. The climate mitigation interventions that will be implemented are linked to what is already envisaged by the Florence Municipality's Green Plan, attracting a series of public investments to the area. In addition to the interventions carried out by the public body, an added value is the involvement in the project of private subjects (companies) based in the area, in order to carry out further environmental improvement interventions (green roofs, painting with polymers to reduce heat absorption, etc.) and to start a virtuous system of public/private collaboration for the management of the territory. A point of strength of the project will be the intense communication activity to the population and its direct involvement.
Development of AI-based applications for neonatologists and pediatric neurologists. Neonatal Seizure Detectors, Neurodevelopmental Disorders and Brain Functional Maturation, Brain Network Dynamics, and Brain-Heart interplay in newborns. AI-based systems for monitoring the infants in Neonatal Intensive Care Units.
Definition of the acoustic phenotype of patients diagnosed with genetic syndromes. Entropy analysis on voice and speech signals. Development of AI-based application for ENT specialists to support diffential diagnosis of voice pathologies. Acoustic analysis of the vocal onset. Neural processing analysis through acoustic properties of pseudowords in healthy and dyslexic subjects.
At ComPBioS, we have developed several experimental paradigms that apply wearable sensors over subjects to study their physiology and behaviour.
Our laboratory activities includes:
Deepfake face recognition
Pseudoword neural processing
Implicit attitudes assessment via the Implicit Association Test
Biofeedback and Players' Performance Analysis in Serious Games
The DSI-24 dry EEG electrodes system used in our laboratory experiences.
DSI-24 dry EEG system on a subject.
Electrodes to measure the electrodermal activity (EDA).
Example of an Italian pseudoword in an Experimental Task proposed to university students.
Example of a Matching Pair Game used to assess and train cognitive skills in the elderly.
Raising awareness of environmental challenges represents a fundamental issue to promote environmentally-friendly behaviours in the population to achieve collective, distributive and economical benefits. As public opinion remains ambiguous, implicit attitudes toward this topic must be investigated. The Implicit Association Test, Associative Memory and Visual Attention paradigms mediated with climate change images represent some of the most valid research paradigms to understand the neural and physiological bases of how climate change is perceived.
Ph.D. Candidate: Federico Calà
Supervisors: Antonio Lanatà, Andrea Guazzini
This research theme is aimed at the implementation of advanced analysis of multivariate signals and the design of dedicated tools for a exhaustive evaluation of the psychophysiological state in fragile subjects. Specifically, the developed methods and tools aim at maintaining well-being in healthy subjects or affected by pathologies related to aging. Biosignals such as electroencephalogram (EEG), electrocardiogram (ECG) and electrothermic response (EDA) are acquired, from which parameters through time domain, frequency domain and through the theory of time dynamic systems variants are extracted. Models based artificial intelligence algorithms are implemented with the aim of predicting and anticipating possible changes in individuals' health status.
Ph.D. Candidate: Pietro Tarchi
Supervisor: Antonio Lanatà