Titolo |
Pubblicato in |
Anno |
Through-silicon-trench in back-side-illuminated CMOS image sensors for the improvement of gate oxide long term performance |
Technical Digest - International Electron Devices Meeting, IEDM |
2019 |
Toward A Quantitative Evaluation of the Fall Risk Using the Fusion of Inertial Signals and Electromyography with Wearable Sensors |
2019 20th International Conference on Solid-State Sensors, Actuators and Microsystems and Eurosensors XXXIII, TRANSDUCERS 2019 and EUROSENSORS XXXIII |
2019 |
Generation of oxide traps in Back-Side-Illuminated CMOS image sensors and impact on reliability |
European Solid-State Device Research Conference |
2019 |
A machine learning-based approach to optimize repair and increase yield of embedded flash memories in automotive systems-on-chip |
Proceedings of the European Test Workshop |
2019 |
L-DOPA and freezing of gait in Parkinson's disease: Objective assessment through a wearable wireless system |
FRONTIERS IN NEUROLOGY |
2018 |
Stand-alone wearable system for ubiquitous real-time monitoring of muscle activation potentials |
SENSORS |
2018 |
Editorial: new advanced wireless technologies for objective monitoring of motor symptoms in Parkinson's disease |
New advanced wireless technologies for objective monitoring of motor symptoms in Parkinson's disease |
2018 |
Reliable and robust detection of freezing of gait episodes with wearable electronic devices |
IEEE SENSORS JOURNAL |
2017 |
Dark current spectroscopy of transition metals in CMOS image sensors |
ECS JOURNAL OF SOLID STATE SCIENCE AND TECHNOLOGY |
2017 |
Wireless sensing system for long-time assistance in the Parkinson’s disease |
EUROSENSORS Proceedings 2017, 1(4), 565 |
2017 |
Embedded wearable integrating real-time processing of electromyography signals |
EUROSENSORS Proceedings 2017, 1(4), 600 |
2017 |
Mobile devices for the real-time detection of specific human motion disorders |
IEEE SENSORS JOURNAL |
2016 |
Using neural networks for the recognition of specific motion symptoms of the parkinson’s disease |
Smart Innovation, Systems and Technologies |
2016 |
Smart Sensing System for the Detection of Specific Human Motion Symptoms of the Parkinson’s Disease |
|
2016 |
Progressive vs. abrupt reset behavior in conductive bridging devices: A C-AFM tomography study |
Technical Digest - International Electron Devices Meeting, IEDM |
2015 |
A thorough investigation of the progressive reset dynamics in HfO<inf>2</inf>-based resistive switching structures |
APPLIED PHYSICS LETTERS |
2015 |
Conductive filament evolution in HfO2 resistive RAM device during constant voltage stress |
MICROELECTRONICS RELIABILITY |
2015 |
Model of reversible breakdown in HfO2 based on fractal patterns |
ADVANCES IN CONDENSED MATTER PHYSICS |
2015 |
Smart sensing systems for the detection of human motion disorders |
PROCEDIA ENGINEERING |
2015 |
Memristor based neuromorphic circuit for visual pattern recognition |
2015 International Conference on Memristive Systems, MEMRISYS 2015 |
2015 |