A real-time monitoring system based on Augmented Reality (AR) and highly wearable Brain-Computer Interface (BCI) for hands-free visualization of patient's health in Operating Room (OR) is proposed. The system is designed to allow the anesthetist to monitor hands-free and in real-time the patient's vital signs collected from the electromedical equipment available in OR. After the analysis of the requirements in a typical Health 4.0 scenario, the conceptual design, implementation and experimental validation of the proposed system are described in detail. The effectiveness of the proposed AR-BCI-based real-time monitoring system was demonstrated through an experimental activity was carried out at the University Hospital Federico II (Naples, Italy), using operating room equipment.
A Wearable SSVEP BCI for AR-based, Real-time Monitoring Applications / Arpaia, Pasquale; De Benedetto, Egidio; Donato, Nicola; Duraccio, Luigi; Moccaldi, Nicola. - ELETTRONICO. - (2021), pp. 1-6. (Intervento presentato al convegno 16th edition of IEEE International Symposium on Medical Measurements and Applications tenutosi a Lausanne, Switzerland nel 23-25 June 2021) [10.1109/MeMeA52024.2021.9478593].
A Wearable SSVEP BCI for AR-based, Real-time Monitoring Applications
Duraccio, Luigi;
2021
Abstract
A real-time monitoring system based on Augmented Reality (AR) and highly wearable Brain-Computer Interface (BCI) for hands-free visualization of patient's health in Operating Room (OR) is proposed. The system is designed to allow the anesthetist to monitor hands-free and in real-time the patient's vital signs collected from the electromedical equipment available in OR. After the analysis of the requirements in a typical Health 4.0 scenario, the conceptual design, implementation and experimental validation of the proposed system are described in detail. The effectiveness of the proposed AR-BCI-based real-time monitoring system was demonstrated through an experimental activity was carried out at the University Hospital Federico II (Naples, Italy), using operating room equipment.File | Dimensione | Formato | |
---|---|---|---|
IEEE_MeMea_AR_BCI_Monitoring_2021.pdf
accesso riservato
Descrizione: Articolo per MeMea 2021
Tipologia:
2a Post-print versione editoriale / Version of Record
Licenza:
Non Pubblico - Accesso privato/ristretto
Dimensione
6.51 MB
Formato
Adobe PDF
|
6.51 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
MeMea_2021_Monitoring_BCI.pdf
accesso aperto
Descrizione: Memea_2021_Author's_Accepted_Version
Tipologia:
2. Post-print / Author's Accepted Manuscript
Licenza:
Pubblico - Tutti i diritti riservati
Dimensione
2.16 MB
Formato
Adobe PDF
|
2.16 MB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2943332