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

EEG signal decomposition in sleep analysis

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

Innovative techniques for ultrasound beamforming

Muscle synergy assessment during cyclic and non-cyclic movements

Nerve stimulation in tetraplegic patients
Non-invasive analysis of actinic keratosis using Near-Infrared Spectroscopy

Quantitative analysis of ECG patterns in Brugada Syndrome

Statistical gait analysis

The impact of ultrasound beamforming techniques on image processing algorithms

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NEWS
- Bando di Concorso per l’ammissione al Corso di Dottorato di Ricerca Nazionale in Intelligenza Artificiale – Area Industria 4.0 July 1, 2022
- Stage Biomedical Engineer – Vernay Italia srl May 30, 2022
- Scuola di Biofotonica ed Intelligenza Artificiale May 13, 2022
- SUMMER SCHOOL OF NEUROENGINEERING: Artificial and augmented sensing for humans and humanoids – Genova 18-22 July Genova May 5, 2022
- The J. Carlo De Luca Award 2022 March 11, 2022