It is well-known that the healthcare system aims to achieve a high degree of effectiveness and efficiency in resource management, hospitalization, and care actions. The development of telemedicine has facilitated the introduction of several technologies that are currently utilized in the healthcare context to optimize the work of physicians and caring personnel in monitoring patients through remote surveillance of vital signs. Within this context, the present study aims to propose mixed reality (MR) as a powerful tool for assistance in various application fields and monitoring of patients' vital signs acquired by ergonomic wearable sensors. The devised system consists of a platform of wearable sensors capable of communicating data via Bluetooth to the computer, which interfaces via Wi-Fi with the MR headset. The headset enables the comfortable and immediate visualization of the selected patient's clinical status, accessing data such as electrocardiogram, plethysmography, heart rate, blood oxygenation, and skin temperature. The system has undergone a validation process of the reliability of the information transmitted in MR, based on the comparison between the signal acquisition frequencies and those of representation in the MR scenario. In particular, data were acquired both in the case of a state of rest and slow variable and random movements typical of neurorehabilitation applications. From this simulation, the representation of the signals was found to be consistent for all signals except for the electrocardiogram, which is attributed to the need for optimization of assembly language. Therefore, this system is proposed as a cutting-edge technology for health remote monitoring, capable of improving healthcare assistance.
Feasibility Study of Wearable Mixed Reality Platform to the Vital Signs Remote Monitoring / Franzo, Michela; Bini, Fabiano; Finti, Alessia; Di Lucchio, Loredana; Marinozzi, Franco. - (2024), pp. 1-6. (Intervento presentato al convegno 2024 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2024 tenutosi a Eindhoven, Netherlands) [10.1109/memea60663.2024.10596837].
Feasibility Study of Wearable Mixed Reality Platform to the Vital Signs Remote Monitoring
Franzo, Michela;Bini, Fabiano;Finti, Alessia;Di Lucchio, Loredana;Marinozzi, Franco
2024
Abstract
It is well-known that the healthcare system aims to achieve a high degree of effectiveness and efficiency in resource management, hospitalization, and care actions. The development of telemedicine has facilitated the introduction of several technologies that are currently utilized in the healthcare context to optimize the work of physicians and caring personnel in monitoring patients through remote surveillance of vital signs. Within this context, the present study aims to propose mixed reality (MR) as a powerful tool for assistance in various application fields and monitoring of patients' vital signs acquired by ergonomic wearable sensors. The devised system consists of a platform of wearable sensors capable of communicating data via Bluetooth to the computer, which interfaces via Wi-Fi with the MR headset. The headset enables the comfortable and immediate visualization of the selected patient's clinical status, accessing data such as electrocardiogram, plethysmography, heart rate, blood oxygenation, and skin temperature. The system has undergone a validation process of the reliability of the information transmitted in MR, based on the comparison between the signal acquisition frequencies and those of representation in the MR scenario. In particular, data were acquired both in the case of a state of rest and slow variable and random movements typical of neurorehabilitation applications. From this simulation, the representation of the signals was found to be consistent for all signals except for the electrocardiogram, which is attributed to the need for optimization of assembly language. Therefore, this system is proposed as a cutting-edge technology for health remote monitoring, capable of improving healthcare assistance.File | Dimensione | Formato | |
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