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
Monitoring of daily living activities through MIMU system: functional reach to grasp
Muscle synergy assessment during cyclic and non-cyclic movements
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
- XXIV Congresso Nazionale SIAMOC 2024 April 23, 2024
- 9th International Summer School on Neuroengineering ‘Massimo Grattarola’ – Neuroengineering for health and disease: a multi-scale approach March 13, 2024
- XLII Annual School 2023 – Registration is open June 8, 2023
- Premi GNB 2023 – Gruppo Nazionale Bioingegneria April 17, 2023
- BANDO DI CONCORSO PER L’ASSEGNAZIONE DI DUE PREMI DI LAUREA – EDIZIONE 2023 April 7, 2023
RECENT PUBLICATIONS
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A comparative study of muscle activity and synergies during walking in baboons and humansFebruary 24, 2024/0 Comments