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Daniela De Venuto
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2020 – today
- 2024
- [c71]Giuseppe Spadavecchia, Marco Fiore, Marina Mongiello, Daniela De Venuto:
A Novel Approach for Fast and Secure Data Transmission using Blockchain and IoT. MECO 2024: 1-4 - 2023
- [j35]Giorgio C. Buttazzo, Daniela De Venuto, Eugenio Di Sciascio, Toni Mancini:
Special issue on embedded real-time applications. Real Time Syst. 59(4): 531-533 (2023) - [j34]Arturo Amendola, Mario Barbareschi, Salvatore De Simone, Giovanni Mezzina, Alberto Moriconi, Cataldo Luciano Saragaglia, Diana Serra, Daniela De Venuto:
A real-time vital control module to increase capabilities of railway control systems in highly automated train operations. Real Time Syst. 59(4): 636-661 (2023) - [j33]Giovanni Mezzina, Daniela De Venuto:
An Embedded Framework for Fully Autonomous Object Manipulation in Robotic-Empowered Assisted Living. Sensors 23(1): 103 (2023) - [c70]Giovanni Mezzina, Arturo Amendola, Mario Barbareschi, Salvatore De Simone, Grazia Mascellaro, Alberto Moriconi, Cataldo Luciano Saragaglia, Diana Serra, Daniela De Venuto:
A Step Toward Safe Unattended Train Operations: A Pioneer Vital Control Module. DATE 2023: 1-4 - [c69]Giovanni Mezzina, Alberto Fakhri Brunetti, Dionisio Ciccarese, Grazia Mascellaro, Cataldo Luciano Saragaglia, Daniela De Venuto:
Live Demonstration: A Dry electrode-based Brain Computer Interface for P300-based Car Driving. ISCAS 2023: 1 - [c68]Daniela De Venuto, Giovanni Mezzina, Angelo Tricase, Paolo Bollella, Grazia Mascellaro, Luisa Torsi:
Wearable and Flexible Fibrosis Cystic Tag with Potentiometric Chloride Activity Sensing. IWASI 2023: 115-120 - [c67]Giovanni Mezzina, Alberto Fakhri Brunetti, Cataldo Luciano Saragaglia, Gianvito Matarrese, Daniela De Venuto:
Automatic tool for real-time estimation of QFN-related heat transfer in multi-layer PCB by using SPICE simulations. IWASI 2023: 177-182 - [c66]Giovanni Mezzina, Martin Walchshofer, Christoph Guger, Daniela De Venuto:
Near-Brain Computation: Embedding P300-based BCIs at EEG headset level. IWASI 2023: 319-324 - 2022
- [j32]Giovanni Mezzina, Daniela De Venuto:
A Digital Architecture for the Real-Time Tracking of Wearing off Phenomenon in Parkinson's Disease. Sensors 22(24): 9753 (2022) - [c65]Giovanni Mezzina, Cataldo Luciano Saragaglia, Mario Barbareschi, Diana Serra, Salvatore De Simone, Alberto Moriconi, Daniela De Venuto:
Model-Based Vital Control Architecture for Highly Automated Train Operations. ApplePies 2022: 163-170 - [c64]Giovanni Mezzina, Daniela De Venuto:
Automatic Accuracy versus Complexity Characterization for Embedded Emotion-Sensing Platforms in Healthcare Applications. COMPSAC 2022: 676-683 - [c63]Giovanni Mezzina, Dionisio Ciccarese, Daniela De Venuto:
AI for Food Waste Reduction in Smart Homes. ICWE Workshops 2022: 87-99 - 2021
- [j31]Daniela De Venuto, Giovanni Mezzina:
Multisensing System for Parkinson's Disease Stage Assessment Based on FPGA-Embedded Serial SVM Classifier. IEEE Des. Test 38(4): 44-51 (2021) - [j30]Daniela De Venuto, Giovanni Mezzina:
A Single-Trial P300 Detector Based on Symbolized EEG and Autoencoded-(1D)CNN to Improve ITR Performance in BCIs. Sensors 21(12): 3961 (2021) - [j29]Giovanni Mezzina, Valerio F. Annese, Daniela De Venuto:
A Cybersecure P300-Based Brain-to-Computer Interface against Noise-Based and Fake P300 Cyberattacks. Sensors 21(24): 8280 (2021) - [c62]Giovanni Mezzina, Mario Barbareschi, Salvatore De Simone, Alessandro Di Benedetto, G. Narracci, Cataldo Luciano Saragaglia, Diana Serra, Daniela De Venuto:
Smart On-Board Surveillance Module for Safe Autonomous Train Operations. ApplePies 2021: 317-325 - [c61]Giovanni Mezzina, Daniela De Venuto:
RGB and 3D-Segmentation Data Combination for the Autonomous Object Manipulation in Personal Care Robotics. DTIS 2021: 1-6 - [c60]Giovanni Mezzina, Daniela De Venuto:
Adding Object Manipulation Capabilities to Social Robots by using 3D and RGB Cameras Data. IEEE SENSORS 2021: 1-4 - [c59]Giovanni Mezzina, Daniela De Venuto:
Low-Complexity Unidimensional CNN based Brain Speller for Embedded Platforms. NorCAS 2021: 1-6 - 2020
- [j28]Daniela De Venuto, Giovanni Mezzina:
High-Specificity Digital Architecture for Real-Time Recognition of Loss of Balance Inducing Fall. Sensors 20(3): 769 (2020) - [c58]Giovanni Mezzina, Daniela De Venuto:
Brain-Actuated Pick-Up and Delivery Service for Personal Care Robots: Implementation and Case Study. ApplePies 2020: 111-121 - [c57]Giovanni Mezzina, Daniela De Venuto:
Semi-Autonomous Personal Care Robots Interface driven by EEG Signals Digitization. DATE 2020: 264-269 - [c56]Giovanni Mezzina, Daniela De Venuto:
Cortical Activity Digitization by Symbolization in Brain-Computer Interface Context. DTIS 2020: 1-6 - [c55]Giovanni Mezzina, Daniela De Venuto:
Smart Sensors HW/SW Interface based on Brain-actuated Personal Care Robot for Ambient Assisted Living. IEEE SENSORS 2020: 1-4 - [c54]Giovanni Mezzina, Daniela De Venuto:
Digital Architecture for MUAPs Propagation Speed Estimator triggered by Foot Plant Switch. NorCAS 2020: 1-7
2010 – 2019
- 2019
- [j27]Giovanni Mezzina, Daniela De Venuto:
Time-Frequency Linearization of Reactive Cortical Responses for the Early Detection of Balance Losses. J. Sensors 2019: 9570748:1-9570748:14 (2019) - [j26]Daniela De Venuto, Giovanni Mezzina:
Field Programmable Gate Array-Embedded Platform for Dynamic Muscle Fiber Conduction Velocity Monitoring. Sensors 19(20): 4594 (2019) - [c53]Daniela De Venuto, Giovanni Mezzina:
Automatic Time-Frequency Analysis of MRPs for Mind-controlled Mechatronic Devices. DATE 2019: 758-763 - [c52]Giovanni Mezzina, Federica Aprigliano, Silvestro Micera, Vito Monaco, Daniela De Venuto:
Cortical reactive balance responses to unexpected slippages while walking: a pilot study. EMBC 2019: 6868-6871 - [c51]Daniela De Venuto, Giovanni Mezzina:
Novel Synchronous Brain Computer Interface Based on 2-D EEG Local Binary Patterning. IntelliSys (2) 2019: 192-210 - [c50]Giovanni Mezzina, Federica Aprigliano, Silvestro Micera, Vito Monaco, Daniela De Venuto:
EEG/EMG based Architecture for the Early Detection of Slip-induced Lack of Balance. IWASI 2019: 9-14 - [c49]Vincenza Di Palma, Daniela De Venuto, Stefano Ricci, Attilio Frangi, Alessandro Stuart Savoia, Dario Di Nocera, Paolo Zampognaro, Antonio Coronato, Ignazio Infantino, Loreto Pescosolido, Nicola De Luca, Andrea Di Matteo:
"Medical Assistance in Contextual awareness" (AMICO): a project for a better cardiopathic patients quality of care. IWASI 2019: 230-233 - [c48]Giovanni Mezzina, Daniela De Venuto:
Local Binary Patterning Approach for Movement Related Potentials based Brain Computer Interface. IWASI 2019: 239-244 - 2018
- [j25]Daniela De Venuto, Valerio F. Annese, Giovanni Mezzina:
Real-time P300-based BCI in mechatronic control by using a multi-dimensional approach. IET Softw. 12(5): 418-424 (2018) - [j24]Daniela De Venuto, Giovanni Mezzina:
FPGA Implementation of a Single Step MFCV Estimator Based on EMG in Diabetic Neuropathy. J. Sensors 2018: 1584068:1-1584068:10 (2018) - [j23]Daniela De Venuto, Giovanni Mezzina:
Spatio-Temporal Optimization of Perishable Goods' Shelf Life by a Pro-Active WSN-Based Architecture. Sensors 18(7): 2126 (2018) - [j22]Daniela De Venuto, Giovanni Mezzina, Jan M. Rabaey:
Automatic 3D Design for Efficiency Optimization of a Class E Power Amplifier. IEEE Trans. Circuits Syst. II Express Briefs 65-II(2): 201-205 (2018) - [j21]Daniela De Venuto, Valerio F. Annese, Giovanni Mezzina, Floriano Scioscia, Michele Ruta, Eugenio Di Sciascio, Alberto L. Sangiovanni-Vincentelli:
A Mobile Health System for Neurocognitive Impairment Evaluation Based on P300 Detection. ACM Trans. Cyber Phys. Syst. 2(4): 31:1-31:21 (2018) - [c47]Daniela De Venuto, Giovanni Mezzina:
Neuromuscular Disorders Assessment by FPGA-Based SVM Classification of Synchronized EEG/EMG. ApplePies 2018: 37-44 - [c46]Daniela De Venuto, Giovanni Mezzina:
Automatic Perishable Goods Shelf Life Optimization in No-Refrigerated Warehouses by Using a WSN-Based Architecture. ApplePies 2018: 287-294 - [c45]Giovanni Mezzina, Daniela De Venuto:
Wireless sEMG/footswitch driven FPGA embedded digital processor for dynamic MFCV estimation. DTIS 2018: 1-2 - [c44]Daniela De Venuto, Giovanni Mezzina:
State space model-oriented design for efficiency improvement of Class E power amplifier. ICICDT 2018: 65-68 - [c43]Daniela De Venuto, Giovanni Mezzina:
User-centered ambient assisted living: Brain environment interface. MECO 2018: 1-4 - 2017
- [c42]Daniela De Venuto, Valerio F. Annese, Giovanni Mezzina:
An embedded system remotely driving mechanical devices by P300 brain activity. DATE 2017: 1014-1019 - [c41]Daniela De Venuto, Valerio F. Annese, G. Defazio, V. L. Gallo, Giovanni Mezzina:
Gait analysis and quantitative drug effect evaluation in Parkinson disease by jointly EEG-EMG monitoring. DTIS 2017: 1-6 - [c40]Daniela De Venuto, Giovanni Mezzina, V. L. Gallo:
Design and implementation of FPGA-based muscle conduction velocity tracker in dynamic contractions during the gait. HLDVT 2017: 82-86 - [c39]Valerio F. Annese, Giovanni Mezzina, Daniela De Venuto:
Wireless Brain-Computer Interface for Wheelchair Control by Using Fast Machine Learning and Real-Time Hyper-Dimensional Classification. ICWE Workshops 2017: 61-74 - [c38]Daniela De Venuto, Jan M. Rabaey:
Design and characterization of a 65nm CMOS wireless RFID reader for ECoG tag. IWASI 2017: 9-14 - [c37]Giovanni Mezzina, Vito Leonardo Gallo, Daniela De Venuto:
Real-time muscle fiber conduction velocity tracker for diabetic neuropathy monitoring. IWASI 2017: 127-132 - [c36]Valerio F. Annese, Giovanni Mezzina, V. L. Gallo, Vincenzo Scarola, Daniela De Venuto:
Wearable platform for automatic recognition of Parkinson Disease by muscular implication monitoring. IWASI 2017: 150-154 - 2016
- [j20]Daniela De Venuto, Valerio F. Annese, Michele Ruta, Eugenio Di Sciascio, Alberto L. Sangiovanni-Vincentelli:
Designing a Cyber-Physical System for Fall Prevention by Cortico-Muscular Coupling Detection. IEEE Des. Test 33(3): 66-76 (2016) - [c35]Valerio F. Annese, Marco Crepaldi, Danilo Demarchi, Daniela De Venuto:
A digital processor architecture for combined EEG/EMG falling risk prediction. DATE 2016: 714-719 - [c34]Daniela De Venuto, Valerio Francesco Annese, Giovanni Mezzina, Michele Ruta, Eugenio Di Sciascio:
Brain-computer interface using P300: a gaming approach for neurocognitive impairment diagnosis. HLDVT 2016: 93-99 - [c33]Valerio F. Annese, Giovanni Mezzina, Daniela De Venuto:
Towards mobile health care: Neurocognitive impairment monitoring by BCI-based game. IEEE SENSORS 2016: 1-3 - [c32]Valerio F. Annese, Christopher Martin, David R. S. Cumming, Daniela De Venuto:
Wireless capsule technology: Remotely powered improved high-sensitive barometric endoradiosonde. ISCAS 2016: 1370-1373 - [c31]Daniela De Venuto, Valerio F. Annese, Alberto L. Sangiovanni-Vincentelli:
The ultimate IoT application: A cyber-physical system for ambient assisted living. ISCAS 2016: 2042-2045 - [c30]Daniela De Venuto, Valerio F. Annese, Giovanni Mezzina:
Towards P300-Based Mind-Control: A Non-invasive Quickly Trained BCI for Remote Car Driving. S-CUBE 2016: 15-28 - 2015
- [c29]Valerio F. Annese, Daniela De Venuto:
Fall-risk assessment by combined movement related potentials and co-contraction index monitoring. BioCAS 2015: 1-4 - [c28]Valerio F. Annese, Daniela De Venuto:
Gait analysis for fall prediction using EMG triggered movement related potentials. DTIS 2015: 1-6 - [c27]Valerio F. Annese, Daniela De Venuto:
The truth machine of involuntary movement: FPGA based cortico-muscular analysis for fall prevention. ISSPIT 2015: 553-558 - [c26]Valerio F. Annese, Daniela De Venuto:
FPGA based architecture for fall-risk assessment during gait monitoring by synchronous EEG/EMG. IWASI 2015: 116-121 - [c25]Marina de Tommaso, Eleonora Vecchio, Katia Ricci, Anna Montemurno, Daniela De Venuto, Valerio F. Annese:
Combined EEG/EMG evaluation during a novel dual task paradigm for gait analysis. IWASI 2015: 181-186 - 2014
- [j19]Daniela De Venuto:
Editorial of the Special Issue of Microelectronics Journal on the 5th IEEE International Workshop on Advances in Sensors and Interfaces 2013 (IWASI 2013). Microelectron. J. 45(12): 1583-1584 (2014) - [j18]Daniela De Venuto, Jan M. Rabaey:
RFID transceiver for wireless powering brain implanted microelectrodes and backscattered neural data collection. Microelectron. J. 45(12): 1585-1594 (2014) - [c24]Valerio F. Annese, Daniela De Venuto, Christopher Martin, David R. S. Cumming:
Biodegradable pressure sensor for health-care. ICECS 2014: 598-601 - [c23]Giuseppe E. Biccario, Valerio F. Annese, S. Cipriani, Daniela De Venuto:
WSN-based near Real-time Environmental Monitoring for Shelf Life Prediction through Data Processing to Improve Food Safety and Certification. ICINCO (1) 2014: 777-782 - [c22]Daniela De Venuto, Peter Ledochowitsch, Michel Maharabitz, Jan M. Rabaey:
Impedance modeling of the intracortical microelectrode for a reliable design of a brain activity recording system. ISQED 2014: 380-385 - 2013
- [c21]Daniela De Venuto, Alberto L. Sangiovanni-Vincentelli:
Dr. Frankenstein's dream made possible: implanted electronic devices. DATE 2013: 1531-1536 - [c20]Daniela De Venuto, Jan M. Rabaey:
Data communication and power system for wireless neural recording. ETFA 2013: 1-4 - [c19]Daniela De Venuto:
Low power sensor for temperature compensation in molecular biosensing. ISQED 2013: 412-415 - [c18]Daniela De Venuto, Jan M. Rabaey:
Wireless powering and data communication for neural implantable electrodes. IWASI 2013: 148-153 - 2011
- [c17]Daniela De Venuto, Sandro Carrara, Andrea Cavallini, Giovanni De Micheli:
pH sensing with temperature compensation in a Molecular Biosensor for drugs detection. ISQED 2011: 326-331 - 2010
- [j17]Daniela De Venuto:
Special issue on the Third IEEE International Workshop on Advances in Sensors and Interfaces 2009 (IWASI 2009). Microelectron. J. 41(11): 695-696 (2010) - [j16]Daniela De Venuto, David Tio Castro, Youri Ponomarev, Eduard F. Stikvoort:
0.8 µW 12-bit SAR ADC sensors interface for RFID applications. Microelectron. J. 41(11): 746-751 (2010) - [c16]Daniela De Venuto, Eduard F. Stikvoort, David Tio Castro, Youri Ponomarev:
Ultra low-power 12-bit SAR ADC for RFID applications. DATE 2010: 1071-1075 - [c15]Daniela De Venuto:
ISQED 2010 fellow award recipient. ISQED 2010 - [c14]Daniela De Venuto, Eduard F. Stikvoort, David Tio Castro, Youri Ponomarev:
Novel low-power 12-bit SAR ADC for RFID tags. ISQED 2010: 532-537
2000 – 2009
- 2009
- [j15]Daniela De Venuto:
Guest editorial. Microelectron. J. 40(9): 1255-1256 (2009) - [j14]Daniela De Venuto, Bruno Riccò:
Fault diagnosis and test of DNA sensor arrays by using IFA approach. Microelectron. J. 40(9): 1293-1299 (2009) - [j13]Daniela De Venuto, Sandro Carrara, Bruno Riccò:
Design of an integrated low-noise read-out system for DNA capacitive sensors. Microelectron. J. 40(9): 1358-1365 (2009) - 2008
- [c13]Daniela De Venuto, Leonardo Reyneri:
PWM-Based Test Stimuli Generation for BIST of High Resolution ADCs. DATE 2008: 284-287 - [c12]Daniela De Venuto, Bruno Riccò:
High Resolution Read-Out Circuit for DNA Label-Free Detection System. ISQED 2008: 708-711 - 2007
- [j12]Daniela De Venuto, Leonardo Reyneri:
Fast PWM-Based Test for High Resolution SigmaDelta ADCs. J. Electron. Test. 23(6): 539-548 (2007) - [j11]Daniela De Venuto, Leonardo Reyneri:
Fully digital strategy for fast calibration and test of SigmaDelta ADC's. Microelectron. J. 38(1): 140-147 (2007) - [j10]Daniela De Venuto, Tom Chen:
Editorial. Microelectron. J. 38(4-5): 453 (2007) - [j9]Daniela De Venuto, Leonardo Reyneri:
Fully digital strategy for fast calibration and test of SigmaDelta ADCs. Microelectron. J. 38(4-5): 474-481 (2007) - [c11]Daniela De Venuto, Bruno Riccò:
Inductive Fault Analysis for Test and Diagnosis of DNA Sensor Arrays. ISQED 2007: 311-316 - [c10]Daniela De Venuto, Leonardo Reyneri:
Fully Digital Optimized Testing and Calibration Technique for Sigma Delta ADC's. ISQED 2007: 519-526 - 2006
- [j8]Daniela De Venuto:
Editorial. Microelectron. J. 37(12): 1561-1562 (2006) - [j7]Marija Blagojevic, Maher Kayal, Daniela De Venuto:
FD SOI Hall sensor electronics interfaces for energy measurement. Microelectron. J. 37(12): 1576-1583 (2006) - [j6]Daniela De Venuto, Bruno Riccò:
Design and characterization of novel read-out systems for a capacitive DNA sensor. Microelectron. J. 37(12): 1610-1619 (2006) - [c9]Daniela De Venuto, Leonardo Reyneri:
Analysis and experimental results of an FPGA-based strategy for fast production test of high resolution ADCs. ISQED 2006: 537-542 - 2005
- [j5]Daniela De Venuto, Tom Chen:
International Symposium on Quality Electronic Design. Microelectron. J. 36(9): 787-788 (2005) - [j4]Daniela De Venuto:
Testing high resolution SigmaDelta ADC's by using the quantizer input as test access. Microelectron. J. 36(9): 810-819 (2005) - [c8]Daniela De Venuto, Grazia Marchione, Leonardo Reyneri:
A codesign tool to validate and improve an FPGA based test strategy for high resolution audio ADC. ISQED 2005: 440-447 - 2004
- [c7]Daniela De Venuto, Marija Blagojevic, Maher Kayal:
Microelectronic System for Hall Sensor Power Measurements. DELTA 2004: 355-359 - [c6]Daniela De Venuto:
New Test Access for High Resolution SD ADC's by Using the Noise Transfer Function Evaluation. ISQED 2004: 81-85 - 2003
- [j3]Daniela De Venuto, Michael J. Ohletz:
Floating body effects model for fault simulation of fully depleted CMOS/SOI circuits. Microelectron. J. 34(10): 889-895 (2003) - [c5]Daniela De Venuto, Michael J. Ohletz, Bruno Riccò:
Self-positioning digital window comparators for mixed-signal DfT. ETFA (1) 2003: 438-443 - [c4]Daniela De Venuto, Michael J. Ohletz, Bruno Riccò:
Automatic Repositioning Technique for Digital Cell Based Window Comparators and Implementation within Mixed-Signal DfT Schemes. ISQED 2003: 431-437 - 2002
- [j2]Daniela De Venuto, Michael J. Ohletz, Bruno Riccò:
Digital Window Comparator DfT Scheme for Mixed-Signal ICs. J. Electron. Test. 18(2): 121-128 (2002) - [c3]Daniela De Venuto, Michael J. Ohletz, Bruno Riccò:
Testing of Analogue Circuits via (Standard) Digital Gates. ISQED 2002: 112-119 - 2001
- [j1]Daniela De Venuto, Michael J. Ohletz:
On-Chip Test for Mixed-Signal ASICs using Two-Mode Comparators with Bias-Programmable Reference Voltages. J. Electron. Test. 17(3-4): 243-253 (2001) - [c2]Daniela De Venuto, M. J. Ohletzo, Bruno Riccò:
On-chip signal level evaluation for mixed-signal ICs using digital window comparators. ETW 2001: 68-72 - 2000
- [c1]Daniela De Venuto, Michael J. Ohletz, G. Matarrese:
Static and dynamic on-chip test response evaluation using a two-mode comparator. ETW 2000: 47-52
Coauthor Index
aka: Valerio Francesco Annese
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