A5054735571- Autism Spectrum Disorder Research
- Heart Rate Variability and Autonomic Control
- Child Development and Digital Technology
- Family and Disability Support Research
- Mental Health Research Topics
- Non-Invasive Vital Sign Monitoring
- Child Nutrition and Feeding Issues
- Genetics and Neurodevelopmental Disorders
- Cystic Fibrosis Research Advances
- Digital Mental Health Interventions
- EEG and Brain-Computer Interfaces
- Mindfulness and Compassion Interventions
- Advanced Sensor and Energy Harvesting Materials
- Mobile Health and mHealth Applications
- ECG Monitoring and Analysis
- Emotion and Mood Recognition
- Virtual Reality Applications and Impacts
- Muscle Physiology and Disorders
- Mitochondrial Function and Pathology
- Context-Aware Activity Recognition Systems
- Heart Failure Treatment and Management
- Blind Source Separation Techniques
- Cardiovascular and exercise physiology
- Blood Pressure and Hypertension Studies
- Advanced Chemical Sensor Technologies
National Research Council
2016-2025
Institute for Biomedical Research and Innovation
2019-2025
Institute of Applied Science and Intelligent Systems
2016-2019
University of Messina
2019
Istituto di Fisiologia Clinica
2010-2016
National Academies of Sciences, Engineering, and Medicine
2011-2015
Czech Academy of Sciences, Institute of Physiology
2012-2013
University of Pisa
2009-2013
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...
Background: The recent convergence between technology and medicine is offering innovative methods tools for behavioral health care. Among these, an emerging approach the use of virtual reality (VR) within exposure-based protocols anxiety disorders, in particular posttraumatic stress disorder. However, no systematically tested VR are available management psychological stress. Objective: Our goal was to evaluate efficacy a new technological paradigm, Interreality, prevention main feature...
Non-invasive fetal heart rate is of great relevance in clinical practice to monitor health state during pregnancy. To date, however, despite significant advances the field electrocardiography, analysis abdominal ECG considered a challenging problem for biomedical and signal processing communities. This mainly due low signal-to-noise ratio difficulties cancellation maternal QRS complexes, motion electromyographic artefacts. In this paper we present an efficient unsupervised algorithm complex...
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...
Autism Spectrum Disorders (ASD) are associated with physiological abnormalities, which likely to contribute the core symptoms of condition. Wearable technologies can provide data in a semi-naturalistic setting, overcoming limitations given by constrained situations signals usually acquired. In this study an integrated system based on wearable for acquisition and analysis neurophysiological autonomic parameters during treatment is proposed application five children ASD presented. Signals were...
Background: Telehealth is useful for both autism spectrum disorder (ASD) diagnosis and treatment, but studies with a direct comparison between teletherapy traditional in-person therapy are limited. Methods: This randomized control trial—ISRCTN (International Standard Randomised Controlled Trial Number) primary clinical trial registry ID ISRCTN15312724—was aimed at comparing the effect of tele-assisted intervention based on behavioral protocol families children affected by ASDs. Forty-two...
Background: Acceptance and Commitment Therapy (ACT) has been demonstrated as effective in improving psychological well-being several clinical domains, but there is no evidence regarding the parents of children with Autism Spectrum Disorder (ASD). Methods: In this randomized controlled trial, we evaluated efficacy ACT matrix behavioral protocol comparison to Parent Training (PT) program, measuring primary secondary outcomes prior following treatments. Twelve were randomly equally assigned two...
Background Congestive heart failure (CHF) is a disease that requires complex management involving multiple medications, exercise, and lifestyle changes. It mainly affects older patients with depression anxiety, who commonly find difficult. Existing mobile apps supporting the self-management of CHF have limited features are inadequately validated. Objective The HeartMan project aims to develop personal health system would comprehensively address by using sensing devices artificial...
One of the main challenges in traumatic brain injury (TBI) patients is to achieve an early and definite prognosis. Despite recent development algorithms based on artificial intelligence for identification these prognostic factors relevant clinical practice, literature lacks a rigorous comparison among classical regression machine learning (ML) models. This study aims at providing this sample TBI evaluated baseline (T0), after 3 months from event (T1), discharge (T2). A Classical Linear...
A trial was performed to study the effects of a partially defatted Hermetia illucens (L. 1758) larvae meal (HIM) replace fish in diet an adult gilthead sea bream. The were fed for 120 days with diets containing HIM: 0% (CTRL), 25 (HI25), 50 (HI50), and 75% (HI75), corresponding inclusion levels 0, 9.2, 18.4, 27.6%. digestibility carried out evaluate apparent coefficients (ADC). Growth performance, morphometric biometric indexes, gill cortisol, status gut mucosa, enzymes’ (alkaline proteases,...
Atypical responsivity to social rewards has been observed in young children with or at risk of Autism Spectrum Disorders (ASD). These observations contributed the hypothesis reduced motivation ASD. In current study we develop a novel task test reward preference using tablet computer (iPad), where two differently coloured buttons were associated and nonsocial rewarding image respectively. 63 children, aged 14-68 months, without diagnosis ASD took part study. The experimental sessions also...