A5001512880- Autism Spectrum Disorder Research
- Shoulder Injury and Treatment
- Sleep and related disorders
- Action Observation and Synchronization
- COVID-19 and Mental Health
- Balance, Gait, and Falls Prevention
- Musculoskeletal pain and rehabilitation
- Assistive Technology in Communication and Mobility
- Mindfulness and Compassion Interventions
- Phonocardiography and Auscultation Techniques
- Cerebral Palsy and Movement Disorders
- Virology and Viral Diseases
- Language Development and Disorders
- ECG Monitoring and Analysis
- Shoulder and Clavicle Injuries
- Infant Development and Preterm Care
- Child Development and Digital Technology
- Music and Audio Processing
- Child and Animal Learning Development
- Tactile and Sensory Interactions
National Research Council
2023-2025
Institute for Biomedical Research and Innovation
2023-2025
Università Campus Bio-Medico
2023
Polytechnic University of Turin
2023
Background/Objectives: The early identification of neurodevelopmental disorders (NDDs) in infants is crucial for effective intervention and improved long-term outcomes. Recent evidence indicates a correlation between deficits spontaneous movements newborns the likelihood developing NDDs later life. This study aims to address this aspect by employing marker-less Artificial Intelligence (AI) approach automatic assessment infants' from single-camera video recordings. Methods: A total 74...
Cardiovascular diseases are currently the major causes of death globally. Among strategies to prevent cardiovascular issues, automated classification heart sound abnormalities is an efficient way detect early signs cardiac conditions leading failure or other, even asymptomatic, complications, quite effective for timely interventions. Despite significant improvements in this field, there still limitations due lack solutions, available data-sets and poor (mainly binary - normal vs abnormal)...
Background: Healthy cognitive functioning is a primary component of well-being, independence, and successful aging. Cognitive deficits can arise from various conditions, such as brain injury, mental illness, neurological disorders. Rehabilitation highly specialized service limited to patients who have access institutional settings. In response this unmet need, telehealth solutions are ideal for triggering the migration care clinics patients’ homes. Objectives: The aim EARLY-COGN^3 will be...
We conducted a study in an ecological setting to evaluate the heart rate variability (HRV) of expert communicators during live national primetime video interview. The involved 32 science communicators, all with mid- long-term experience public speaking and outreach work, who were evaluated by external jury assess their communication skills. Prior experiment, participants completed online survey gather socio-demographic data, work-related information, psychological profiles. six indices...
Vitality Forms (VFs) constitute the dynamic essence of human actions, providing insights into how individuals engage in activities. The ability to perceive and express VFs during interpersonal interactions is pivotal for understanding others' intentions, behaviors, fostering effective social communication. Despite their ubiquity all research exploring role neurodivergent conditions related communicative skills, particularly autism, remains limited. This study aims investigate expression...
The rising prevalence of mental illness is straining global health systems, particularly affecting older adults who often face deteriorating physical and decreased autonomy quality life. Early detection targeted rehabilitation are crucial in mitigating these challenges. Mindfulness acceptance commitment therapy (ACT) holds promise for enhancing motivation well-being among the elderly, although delivering such psychological interventions hindered by limited access to services, prompting...
The overall aim of this proposal is to ameliorate the care rotator cuff (RC) tear patients by applying an innovative machine learning approach for outcome prediction after arthroscopic repair.We applied state-of-the-art algorithms evaluate best predictors outcome, and 100 RC were evaluated at baseline (T0), 1 month (T1), 3 months (T2), 6 (T3), year (T4) from surgical intervention. measure was Costant-Murley Shoulder Score, whereas age, sex, BMI, 36-Item Short-Form Survey, Simple Test,...
Autism is a heterogeneous neurodevelopmental condition characterized by impairments in socialcommunication, along with restrictive and repetitive patterns of interests behaviors sensory atypicalities. Early gestural communication, especially deictic gestures, are significantly associated autism strong predictors language development. Despite the implication gestures has been acknowledged, it not sufficiently explored artificial intelligence. To address this, paper proposes an automatic...