Monitoring the magnetic axis misalignment in axially-symmetric magnets. - Pasquale Arpaia; Biase Celano; Luca De Vito; Antonio Esposito 002; Nicola Moccaldi; Alessandro Parrella (I2MTC, 2018)

Wearable Augmented Reality and Brain Computer Interface to Improve Human-Robot Interactions in Smart Industry: A Feasibility Study for SSVEP Signals. - Leopoldo Angrisani; Pasquale Arpaia; Nicola Moccaldi; Antonio Esposito 002 (RTSI, 2018)

A Wearable SSVEP-based brain-Computer Interface with off-the-Shelf Components. - Leopoldo Angrisani; Pasquale Arpaia; Antonio Esposito 002; Nicola Moccaldi; Marco Parvis (GBCIC, 2019)

Metrological performance of a single-channel Brain-Computer Interface based on Motor Imagery. - Leopoldo Angrisani; Pasquale Arpaia; Francesco Donnarumma; Antonio Esposito 002; Nicola Moccaldi; Marco Parvis (I2MTC, 2019)

Feasibility of cardiovascular risk assessment through non-invasive measurements. - Pasquale Arpaia; Renato Cuocolo; Francesco Donnarumma; Dario D'Andrea; Antonio Esposito 002; Nicola Moccaldi; Angela Natalizio; Roberto Prevete (MetroInd4.0&IoT, 2019)

Instrumentation for Motor Imagery-based Brain Computer Interfaces relying on dry electrodes: a functional analysis. - Leopoldo Angrisani; Pasquale Arpaia; Francesco Donnarumma; Antonio Esposito 002; Mirco Frosolone; Giovanni Improta; Nicola Moccaldi; Angela Natalizio; Marco Parvis (I2MTC, 2020)

A Wearable Brain-Computer Interface Instrument for Augmented Reality-Based Inspection in Industry 4.0. - Leopoldo Angrisani; Pasquale Arpaia; Antonio Esposito 002; Nicola Moccaldi (IEEE Trans. Instrum. Meas., 2020)

Active and Passive Brain-Computer Interfaces Integrated with Extended Reality for Applications in Health 4.0. - Pasquale Arpaia; Antonio Esposito 002; Francesca Mancino; Nicola Moccaldi; Angela Natalizio (AVR, 2021)

Brain-computer Interfaces for Daily-life Applications: a Five-year Experience Report. - Leopoldo Angrisani; Pasquale Arpaia; Egidio De Benedetto; Antonio Esposito 002; Nicola Moccaldi; Marco Parvis (I2MTC, 2021)

Metrological characterization of a low-cost electroencephalograph for wearable neural interfaces in industry 4.0 applications. - Pasquale Arpaia; Luca Callegaro; Alessandro Cultrera; Antonio Esposito 002; Massimo Ortolano (MetroInd4.0&IoT, 2021)

Channel Selection for Optimal EEG Measurement in Motor Imagery-Based Brain-Computer Interfaces. - Pasquale Arpaia; Francesco Donnarumma; Antonio Esposito 002; Marco Parvis (Int. J. Neural Syst., 2021)

Non-immersive Versus Immersive Extended Reality for Motor Imagery Neurofeedback Within a Brain-Computer Interfaces. - Pasquale Arpaia; Damien Coyle; Francesco Donnarumma; Antonio Esposito 002; Angela Natalizio; Marco Parvis (XR (2), 2022)

Metrological foundations of emotional valence measurement through an EEG-based system. - Andrea Apicella 001; Pasquale Arpaia; Antonio Esposito 002; Giovanna Mastrati; Nicola Moccaldi (I2MTC, 2022)

Comparing Artifact Removal Techniques for Daily-Life Electroencephalography with Few Channels. - Pasquale Arpaia; Egidio De Bendetto; Antonio Esposito 002; Angela Natalizio; Marco Parvis; Marisa Pesola (MeMeA, 2022)

Multimodal Feedback in Assisting a Wearable Brain-Computer Interface Based on Motor Imagery. - Pasquale Arpaia; Damien Coyle; Francesco Donnarumma; Antonio Esposito 002; Angela Natalizio; Marco Parvis; Marisa Pesola; Ersilia Vallefuoco (MetroXRAINE, 2022)

EEG features of the interaction between sense of agency and body ownership: a motor imagery BCI case study. - Pasquale Arpaia; Mariano D'Angelo; Giovanni D'Errico; Lucio Tommaso De Paolis; Antonio Esposito 002; Sabrina Grassini; Nicola Moccaldi; Angela Natalizio; Benito Luigi Nuzzo (MetroXRAINE, 2022)

The Environmental Sustainability of Measurements: A Practical Case-study With The Wheatstone bridge. - Leopoldo Angrisani; Pasquale Arpaia; Mauro D'Arco; Egidio De Benedetto; Antonio Esposito 002; Monica Imbò (RTSI, 2022)

Metrological Characterization of Consumer-Grade Equipment for Wearable Brain-Computer Interfaces and Extended Reality. - Pasquale Arpaia; Luca Callegaro; Alessandro Cultrera; Antonio Esposito 002; Massimo Ortolano (IEEE Trans. Instrum. Meas., 2022)

Design and Development of an Adaptive Multisensory Virtual Reality System for Emotional Self-Regulation. - Giovanni D'Errico; Pasquale Arpaia; Lucio Tommaso De Paolis; Antonio Esposito 002; Carola Gatto; Sabrina Grassini; Giovanna Mastrati; Nicola Moccaldi; Angela Natalizio; Benito Luigi Nuzzo (XR (1), 2023)

Online processing for motor imagery-based brain-computer interfaces relying on EEG. - Pasquale Arpaia; Antonio Esposito 002; Nicola Moccaldi; Angela Natalizio; Marco Parvis (I2MTC, 2023)

Exploring the Relationship Between Performance and Environmental Sustainability in Measurement Systems: A Preliminary Study. - Leopoldo Angrisani; Mauro D'Arco; Egidio De Benedetto; Luigi Duraccio; Antonio Esposito 002; Monica Imbò; Annarita Tedesco (MetroXRAINE, 2023)

Sinc-EEGNet for Improving Performance While Reducing Calibration of a Motor Imagery-Based BCI. - Pasquale Arpaia; Elisa Bertone; Antonio Esposito 002; Angela Natalizio; Marco Parvis; Alessandra Laura Giulia Pedrocchi; Andrea Pollastro (MetroXRAINE, 2023)

Welcome Message from the General Chairs and Technical Program Chairs. - Damien Coyle; Pasquale Arpaia; Loredana Cristaldi; Lucio Tommaso De Paolis; Marco Sacco; Antonio Esposito 002; Simone Barcellona; Egidio De Benedetto; Aldo Franco Dragoni; Karl A. McCreadie (MetroXRAINE, 2023)

Uncertainty Analysis in Cryptographic Key Recovery for Machine Learning-Based Power Measurements Attacks. - Pasquale Arpaia; Francesco Caputo; Antonella Cioffi; Antonio Esposito 002; Francesco Isgrò (IEEE Trans. Instrum. Meas., 2023)

Paving the Way for Motor Imagery-Based Tele-Rehabilitation through a Fully Wearable BCI System. - Pasquale Arpaia; Damien Coyle; Antonio Esposito 002; Angela Natalizio; Marco Parvis; Marisa Pesola; Ersilia Vallefuoco (Sensors, 2023)

Endless Runner Game in Virtual Reality Controlled by a Self-paced Brain-Computer Interface Based on EEG and Motor Imagery. - Pasquale Arpaia; Antonio Esposito 002; Enza Galasso; Fortuna Galdieri; Angela Natalizio; Marco Parvis; Michael Sommeling; Mattia Volpe (XR (2), 2024)

Mental Effort Detection When Using a Motor Imagery-Based Brain-Computer Interface. - Pasquale Arpaia; Antonio Esposito 002; Ludovica Gargiulo; Nicola Moccaldi; Angela Natalizio; Marco Parvis; Rachele Robbio (I2MTC, 2024)

Advancing Healthcare Through AI: Innovations in Monitoring and Diagnostic Technologies at the Augmented Reality for Health Monitoring Laboratory (ARHeMLab). - Giovanni Annuzzi; Andrea Apicella 001; Pasquale Arpaia; Lutgarda Bozzetto; Umberto Bracale; Egidio De Benedetto; Paolo De Blasiis; Antonio Esposito 002; Francesco Isgrò; Giacomo Lus; Nicola Moccaldi; Roberto Peltrini; et al. (Ital-IA, 2024)

Artifacts Removal from Low-Density EEG Measured with Dry Electrodes. - Pasquale Arpaia; Egidio De Benedetto; Antonio Esposito 002; Angela Natalizic; Marco Parvis; Marisa Pesola; Michele Sansone (MetroXRAINE, 2024)

Accurate Energy Measurements for Tiny Machine Learning Workloads. - Pasquale Arpaia; Luigi Capobianco; Francesco Caputo; Antonella Cioffi; Antonio Esposito 002; Francesco Isgrò; Nicola Moccaldi; Danilo Pau; David Siorpaes; Ettore Toscano (MetroXRAINE, 2024)

Roadmap for Measurement and Applications: An Overview on Quench Detection Techniques for High-Temperature Superconducting Cables and Magnets. - Pasquale Arpaia; Davide Cuneo; Antonio Esposito 002; Antonio Gilardi; Pedro M. Ramos (IEEE Instrum. Meas. Mag., 2024)