Mastrati, Giovanna (2023) Advancements in Clinical Surgery: Combining Brain‑Computer Interfaces and Extended Reality for Mental States Management. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Advancements in Clinical Surgery: Combining Brain‑Computer Interfaces and Extended Reality for Mental States Management |
| Autori: | Autore Email Mastrati, Giovanna giovanna.mastrati@unina.it |
| Data: | 9 Dicembre 2023 |
| Numero di pagine: | 222 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Ingegneria Elettrica e delle Tecnologie dell'Informazione |
| Dottorato: | Information and Communication Technology for Health |
| Ciclo di dottorato: | 36 |
| Coordinatore del Corso di dottorato: | nome email Riccio, Daniele daniele.riccio@unina.it |
| Tutor: | nome email Arpaia, Pasquale [non definito] |
| Data: | 9 Dicembre 2023 |
| Numero di pagine: | 222 |
| Parole chiave: | Clinical surgery, BCI, EEG, Emotion, Cognitive load, Engagement |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-INF/07 - Misure elettriche e elettroniche |
| Depositato il: | 23 Gen 2024 22:59 |
| Ultima modifica: | 12 Ago 2026 05:36 |
| URI: | https://www.fedoa.unina.it/id/eprint/15687 |
Abstract
Recent advancements in cutting-edge technologies have ushered in a new era of patient care, holding the promise to improve healthcare delivery. This thesis explores the integration of Brain-Computer Interfaces (BCIs) and Extended Reality (XR) to improve surgery and training paradigms by enhancing precision, safety, and the speed of skill acquisition. The research begins with an introduction to the context and significance of the study, illuminating the need for innovative approaches to mental states management in surgery and surgical training. This study discusses the implementation of XR-BCI systems for monitoring and regulating mental states: (i) emotions (i.e., valence, arousal, anxiety), (ii) cognitive load, and (iii) engagement. The results underscore the transformative impact of this integrated approach, emphasizing the ability to monitor and modulate mental states in a clinical setting. Therefore, a XR-BCI system can be implemented to monitor surgeons’ mental states and provide real-time feedback regarding stressful situations, cognitive overload, or a low level of engagement that may lead to dangerous situations in the operating room. In conclusion, this research presents a novel synthesis of BCI and XR tech- nologies, offering a promising path forward for clinical surgery, and ultimately, a new frontier for enhanced patient care.
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