Active

• Artificial Neural Networks for the study of residual life of litium batteries for electric vehicles
• Automatic ECG analysis with artificial neural networks
• Deep learning neural networks and Image processing for automatic defect detection on cars
• Paper ECG digitalization
• Study and development of wearable medical devices

Concluded

• Detection of vital parameters with non-invasive sensors
• Dual band matching network
• Hyper-scanning EEG Platform
• VITAL-ECG
• Smart wearable wrist ECG with BLE interface
• Study of lead acid battery life cycle for automotive
• BAT-MAN: Current and Voltage Sensing Circuit for Automotive Batteries SoH and SoC Determination
• Simultaneous Localization and Mapping
• Development of an algorithm for predicting the state of health of a patient with renal insufficiency
• ECG pre-processing and af detection algorithm for ECG-watch device
• Design and development of a multi-parameter wearable medical device
• Cuffless blood pressure measurement
• Recurrent Neural Networks for non invasive arterial blood pressure estimation
• Development of a machine learning algorithm and a cloud-based architecture to support clinicians in identifying Acute Kidney Injury events
• Development of an Android interface for medical devices for non-invasive, cuff-less blood pressure measurement
• Cmut-based, portable, handheld device analysis for diagnostic ultrasound imaging
• Development of an Android application with the integration of a neural network to support wearable medical devices
• Study and development of a mobile interface for smartwatch with medical application
• Development and finalisation of IOS PulsEcg app for the cuffless measurement of the blood pressure through the neural network