| Impact of nutritional factors in blood glucose prediction in type 1 diabetes through machine learning G Annuzzi, A Apicella, P Arpaia, L Bozzetto, S Criscuolo, E De Benedetto, ... IEEE Access 11, 17104-17115, 2023 | 18 | 2023 |
| A method for optimizing the artifact subspace reconstruction performance in low-density EEG A Cataldo, S Criscuolo, E De Benedetto, A Masciullo, M Pesola, ... IEEE Sensors Journal 22 (21), 21257-21265, 2022 | 14 | 2022 |
| Comparing artifact removal techniques for daily-life electroencephalography with few channels P Arpaia, E De Bendetto, A Esposito, A Natalizio, M Parvis, M Pesola 2022 IEEE International Symposium on Medical Measurements and Applications …, 2022 | 9 | 2022 |
| EEG complexity-based algorithm using Multiscale Fuzzy Entropy: Towards a detection of Alzheimer’s disease A Cataldo, S Criscuolo, E De Benedetto, A Masciullo, M Pesola, J Picone, ... Measurement 225, 114040, 2024 | 7 | 2024 |
| Uncovering the correlation between COVID-19 and neurodegenerative processes: Toward a new approach based on EEG entropic analysis A Cataldo, S Criscuolo, E De Benedetto, A Masciullo, M Pesola, ... Bioengineering 10 (4), 435, 2023 | 6 | 2023 |
| Multimodal feedback in assisting a wearable brain-computer interface based on motor imagery P Arpaia, D Coyle, F Donnarumma, A Esposito, A Natalizio, M Parvis, ... 2022 IEEE International Conference on Metrology for Extended Reality …, 2022 | 6 | 2022 |
| Exploring nutritional influence on blood glucose forecasting for Type 1 diabetes using explainable AI G Annuzzi, A Apicella, P Arpaia, L Bozzetto, S Criscuolo, E De Benedetto, ... IEEE journal of biomedical and health informatics, 2023 | 5 | 2023 |
| Paving the Way for Motor Imagery-Based Tele-Rehabilitation through a Fully Wearable BCI System P Arpaia, D Coyle, A Esposito, A Natalizio, M Parvis, M Pesola, ... Sensors 23 (13), 5836, 2023 | 5 | 2023 |
| Predicting and monitoring blood glucose through nutritional factors in type 1 diabetes by artificial neural networks G Annuzzi, L Bozzetto, A Cataldo, S Criscuolo, M Pesola Acta IMEKO 12 (2), 1-7, 2023 | 5 | 2023 |
| Entropy-Based EEG Measures for Revealing Altered Neural Dynamics in Alzheimer's Disease: A Preliminary Study A Cataldo, S Criscuolo, E De Benedetto, A Masciullo, M Pesola, ... 2023 IEEE International Conference on Metrology for eXtended Reality …, 2023 | 2 | 2023 |
| Low-density EEG correction with multivariate decomposition and subspace reconstruction P Arpaia, A Esposito, A Natalizio, M Parvis, M Pesola IEEE Sensors Journal, 2023 | 2 | 2023 |
| Entropy and Coherence Features in EEG-Based Classification for Alzheimer's Disease Detection S Criscuolo, A Cataldo, E De Benedetto, A Masciullo, M Pesola, ... 2024 IEEE International Instrumentation and Measurement Technology …, 2024 | 1 | 2024 |
| A Novel Metric for Alzheimer’s Disease Detection Based on Brain Complexity Analysis via Multiscale Fuzzy Entropy A Cataldo, S Criscuolo, E De Benedetto, A Masciullo, M Pesola, ... Bioengineering 11 (4), 324, 2024 | 1 | 2024 |
| Assessing the Features on Blood Glucose Level Prediction in Type 1 Diabetes Patients Through Explainable Artificial Intelligence G Annuzzi, P Arpaia, L Bozzetto, S Criscuolo, S Giugliano, M Pesola 2023 IEEE International Conference on Metrology for eXtended Reality …, 2023 | | 2023 |
Sabatina CriscuoloPh.D. student, University of Naples Federico II在 unina.it 的电子邮件经过验证
