A5078034334- Infrared Thermography in Medicine
- Non-Invasive Vital Sign Monitoring
- Optical Imaging and Spectroscopy Techniques
- Heart Rate Variability and Autonomic Control
- Stroke Rehabilitation and Recovery
- Thermoregulation and physiological responses
- EEG and Brain-Computer Interfaces
- Muscle activation and electromyography studies
- Cerebral Palsy and Movement Disorders
- Functional Brain Connectivity Studies
- Hemodynamic Monitoring and Therapy
- Photoacoustic and Ultrasonic Imaging
- Cardiovascular Health and Disease Prevention
- Emotion and Mood Recognition
- Sleep and Work-Related Fatigue
- Musculoskeletal pain and rehabilitation
- Traumatic Brain Injury and Neurovascular Disturbances
- Human-Automation Interaction and Safety
- Speech and Audio Processing
- Thermal Regulation in Medicine
- Speech Recognition and Synthesis
- Infant Health and Development
- Music and Audio Processing
- Technology and Human Factors in Education and Health
- Systemic Sclerosis and Related Diseases
University of Chieti-Pescara
2018-2025
Gallaudet University
2020
Institute of Cognitive Sciences and Technologies
2018
National Research Council
2018
Advanced Imaging Research (United States)
2018
Parkinson’s disease (PD) is a neurodegenerative disorder characterized by range of motor and non-motor symptoms. One the notable symptoms PD presence vocal disorders, attributed to underlying pathophysiological changes in neural control laryngeal tract musculature. From this perspective, integration machine learning (ML) techniques analysis speech signals has significantly contributed detection diagnosis PD. Particularly, MEL Frequency Cepstral Coefficients (MFCCs) Gammatone (GTCCs) are both...
Traffic accidents determine a large number of injuries, sometimes fatal, every year. Among other factors affecting driver’s performance, an important role is played by stress which can decrease decision-making capabilities and situational awareness. In this perspective, it would be beneficial to develop non-invasive driver monitoring system able recognize the altered state. study, contactless procedure for drivers’ state assessment means thermal infrared imaging was investigated. Thermal...
Extensive possibilities of applications have rendered emotion recognition ineluctable and challenging in the fields computer science as well human-machine interaction affective computing. Fields that, turn, are increasingly requiring real-time or interactions everyday life scenarios. However, while extremely desirable, an accurate automated classification approach remains a issue. To this end, study presents model based on easily accessible physiological signals deep learning (DL)...
Mental workload (MW) represents the amount of brain resources required to perform concurrent tasks. The evaluation MW is paramount importance for Advanced Driver-Assistance Systems, given its correlation with traffic accidents risk. In present research, two cognitive tests (Digit Span Test-DST and Ray Auditory Verbal Learning Test-RAVLT) were administered participants while driving in a simulated environment. chosen investigate drivers' response predefined levels load categorize classes MW....
Background: The integration of edge computing into smart healthcare systems requires the development computationally efficient models and methodologies for monitoring detecting patients’ statuses. In this context, mobile devices, such as smartphones, are increasingly employed purpose aiding diagnosis, treatment, monitoring. Notably, smartphones widely pervasive readily accessible to a significant portion population. These devices empower individuals conveniently record submit voice samples,...
Abstract Treatment response assessment of rectal cancer patients is a critical component personalized care and it allows to identify suitable candidates for organ-preserving strategies. This pilot study employed novel multi-omics approach combining MRI-based radiomic features untargeted metabolomics infer treatment at staging. The metabolic signature highlighted how tumor cell viability predictively down-regulated, while the oxidative stress was up-regulated in responder patients, showing...
Working memory deficit is a signature of Alzheimer's disease (AD). The free and cued selective reminding test (FCSRT) clinical that quantifies for AD diagnosis. However, the diagnostic accuracy FCSRT may be increased by accompanying it with neuroimaging. Since requires doctor–patient interaction, brain monitoring challenging. Functional near-infrared spectroscopy (fNIRS) could suited such purpose because fNIRS flexibility. We investigated whether complexity, based on sample entropy...
Decline in visuo-spatial skills and memory failures are considered symptoms of Alzheimer's Disease (AD) they can be assessed at early stages employing clinical tests. However, performance a single test is generally not indicative AD. Functional neuroimaging, such as functional Near Infrared Spectroscopy (fNIRS), may employed during these tests an ecological setting to support diagnosis. Indeed, neuroimaging should alter practice allowing free doctor-patient interaction. block-designed...
Alzheimer’s disease (AD) is characterized by working memory (WM) failures that can be assessed at early stages through administering clinical tests. Ecological neuroimaging, such as Electroencephalography (EEG) and functional Near Infrared Spectroscopy (fNIRS), may employed during these tests to support AD diagnosis within settings. Multimodal EEG-fNIRS could measure brain activity along with neurovascular coupling (NC) detect their modifications associated AD. Data analysis procedures based...
As the human behavior is influenced by both cognition and emotion, affective computing plays a central role in human-machine interaction. Algorithms for emotions recognition are usually based on behavioral analysis or physiological measurements (e.g., heart rate, blood pressure). Among these signals, pulse wave propagation circulatory tree can be assessed through photoplethysmography (PPG), non-invasive optical technique. Since characteristics cardiovascular status, which affected autonomic...
Alzheimer’s disease (AD) is associated with modifications in cerebral blood perfusion and autoregulation. Hence, neurovascular coupling (NC) alteration could become a biomarker of the disease. NC might be assessed clinical settings through multimodal electroencephalography (EEG) functional near-infrared spectroscopy (fNIRS). Multimodal EEG-fNIRS was recorded at rest an ambulatory setting to assess evaluate sensitivity specificity methodology AD. Global evaluated general linear model (GLM)...
Functional near infrared spectroscopy (fNIRS) is a neuroimaging technique that allows to monitor the functional hemoglobin oscillations related cortical activity. One of main issues fNIRS applications motion artefact removal, since corrupted physiological signal not correctly indicative underlying biological process. A novel procedure for artifact correction signals based on wavelet transform and video tracking developed thermography (IRT) presented. In detail, IRT were concurrently recorded...
An intriguing challenge in the human–robot interaction field is prospect of endowing robots with emotional intelligence to make more genuine, intuitive, and natural. A crucial aspect achieving this goal robot’s capability infer interpret human emotions. Thanks its design open programming platform, NAO humanoid robot one most widely used agents for interaction. As person-to-person communication, facial expressions are privileged channel recognizing interlocutor’s expressions. Although...
Heart rate variability (HRV) is a reliable tool for the evaluation of several physiological factors modulating heart (HR). Importantly, variations HRV parameters may be indicative cardiac diseases and altered psychophysiological conditions. Recently, studies focused on procedures contactless HR measurements from facial videos. However, performances these methods decrease when illumination poor. Infrared thermography (IRT) could useful to overcome this limitation. In fact, IRT can measure...
Cerebral palsy (CP) is a non-progressive neurologic condition that causes gait limitations, spasticity, and impaired balance coordination. Robotic-assisted training (RAGT) has become common rehabilitation tool employed to improve the pattern of people with neurological impairments. However, few studies have demonstrated effectiveness RAGT in children CP its effects through portable neuroimaging techniques, such as functional near-infrared spectroscopy (fNIRS). The aim study evaluate...
Abstract Photonics technologies play a crucial role in driving technological advancements within the agrifood industry, aiming to deliver sustainable food and agriculture, offering healthy, nutritious safe for all of us. Particularly, optical sensors imaging systems, together with machine-learning processing advanced lighting, pivotal monitoring crop soil health unprecedented precision, while safeguarding supply chain. This roadmap aims provide an overview state-of-the-art photonics...
The study aimed to investigate and confirm from a physiological psychological perspective whether preferred music would influence anaerobic performance during the Running-Based Anaerobic Sprint Test (RAST). A total of 18 (men, n = 12, women, 6) sub-élite track-and-field football athletes (mean age 22.2 ± 2.1 years, mean height 175.3 8.0 cm, weight 66.4 10.6 kg, BMI 21.5 2.2 kg/m2) were voluntarily recruited. RAST procedure was performed by recording maximum power (Pmax), average (Pmean),...