Projects
Age-It
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.
MAIN RESEARCH TOPICS & LABORATORY ACTIVITIES
PEDIATRIC BIOENGINEERING
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.
VOICE AND SPEECH ANALYSIS
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.
Activities
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.
Study of physiological correlates acquired through wearable systems
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
Biosignals analysis and design of ad-hoc systems for the evaluation of the psychophysiological state in fragile subjects
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