Marisa Pesola
Orcid: 0000-0002-5671-6433
According to our database1,
Marisa Pesola authored at least 16 papers
between 2022 and 2026.
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Bibliography
2026
A Novel Entropy Metric for Unified Analysis of Temporal, Spatial, and Spectral EEG Properties.
IEEE Trans. Biomed. Eng., April, 2026
2025
Enhancing Awareness in the Design of Dissemination and Teaching Activities: Using Context for Integrating Knowledge Sharing and Technology.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2025
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2025
A Preliminary Study on Band-Specific Multivariate Multiscale Fuzzy Entropy of EEG in Mild Cognitive Impairment.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2025
Multivariate Glucose Prediction with BiLSTM and Explainable AI in an Inter-Subject Framework.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2025
2024
Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI.
IEEE J. Biomed. Health Informatics, May, 2024
Explainable AI Assessment of Meal-Related Features Impact in Predicting Basal Insulin for Type I Diabetes.
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024
Comparison of EEG Preprocessing Techniques for Complexity Measures in Alzheimer's Disease Detection.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024
Entropy and Coherence Features in EEG-Based Classification for Alzheimer's Disease Detection.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
2023
Paving the Way for Motor Imagery-Based Tele-Rehabilitation through a Fully Wearable BCI System.
Sensors, July, 2023
Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning.
IEEE Access, 2023
Entropy-Based EEG Measures for Revealing Altered Neural Dynamics in Alzheimer's Disease: A Preliminary Study.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023
Assessing the Features on Blood Glucose Level Prediction in Type 1 Diabetes Patients Through Explainable Artificial Intelligence.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023
2022
Multimodal Feedback in Assisting a Wearable Brain-Computer Interface Based on Motor Imagery.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022
Comparing Artifact Removal Techniques for Daily-Life Electroencephalography with Few Channels.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022