Biomedical Signal and Data Processing

The recent advances in modern signal processing techniques have improved the accuracy and reliability of medical diagnoses. The most recent trends in data-based diagnostic tools include three principal keywords: big-data, multichannel analysis and radiomics. The main goal is the ability of processing larger and more heterogeneous information, which is extracted from high-dimensional digital data, to solve more and more complex diagnostic problems.

Our research group is focused on the development of new theoretical frameworks and innovative algorithms applied to biomedical signals, motivated by the concept that the analyzed signals contain information that reflects underlying pathophysiology and that these relationships can be revealed via quantitative signal analysis.

Carotid-Femoral Pulse Wave Velocity analysis from Laser Doppler Vibrometer Signals

Brief Description: Many studies have shown that the stiffness of elastic arteries like the aorta independently predicts cardiovascular risk. the gold standard for the arterial stiffness assessment in daily practice is the carotid-femoral pulse wave velocity (PWV). This inde ...read more...

EEG signal decomposition in sleep analysis

Brief Description: Sleep quality can be compromised by sleep-related disorders such as sleep apnea, depression, insomnia or narcolepsy and the chronic restriction has negative consequences both on the health of individual and on public security. The development of new techn ...read more...

Effects of bilateral sub-thalamic nucleus deep brain stimulation on gait in patients affected by Parkinson's disease

Brief Description: Gait deficits are the principal source of disability and loss of independence in patients affected by Parkinson's Disease (PD). Tremor, bradykinesia, and rigidity are usually responsive to medical treatment with levodopa (L-dopa) and to bilateral ...read more...

Innovative techniques for ultrasound and photoacoustic image reconstruction

Brief Description: Ultrasound imaging can be effective for analysing pathological and normal tissues, by studying both the structure and texture in B-mode images. The output B-mode image is influenced by several technical aspects during acquisition, such as the probe freque ...read more...

Monitoring of daily living activities through MIMU system: functional reach to grasp

Brief Description: The project aims at developing methods that quantify patients' impairment levels through magneto-inertial sensor units, enabling remote monitoring of patients. ...read more...

Muscle synergy assessment during cyclic and non-cyclic movements

Brief Description: Motor tasks are achieved by activating an appropriate set of muscles depending on the task constraints of a specific movement. The central nervous system (CNS) plays the main role in motor control since it activates each muscle choosing ...read more...

Non-invasive analysis of actinic keratosis using Near-Infrared Spectroscopy

Brief Description: Non-melanoma skin cancers (NMSC) are the most common human cancers, particularly in the Caucasian population. The possible evolution of actinic keratoses (AKs) into invasive squamous cell carcinomas (SCC) makes their treatment and monitoring essential. A ...read more...

Quantitative analysis of ECG patterns in Brugada Syndrome

Brief Description: In recent years, Brugada syndrome has increasingly assumed greater importance in the clinical setting given the high number of young people between 30 and 40 years of age who have died due to it. The cause of this syndrome is not entirely clear but is at ...read more...

Statistical gait analysis

Brief Description: Gait analysis is widely used in clinics to study walking abnormalities for surgery planning, definition of therapeutic and rehabilitation protocols, and objective evaluation of clinical outcomes. Among the principal applications of clinical gait ...read more...

The impact of ultrasound and photoacoustic image reconstruction techniques on image processing algorithms