The recent Covid-19 pandemic has highlighted the pressure on healthcare infrastructure, emphasizing the necessity for more tailored and sustainable healthcare systems that exploit the potential of emerging technologies such as robotics and the Internet of Things (IoT). In this paper, we delve into this potential by presenting I-TROPHYTS, an innovative framework designed for the real-time and semi-autonomous supervision of motor rehabilitation activities in indoor settings. I-TROPHYTS introduces a visionary approach that leverages humanoid robotics to mimic the actions of physiotherapists. This robotic system dynamically adjusts motor rehabilitation routines based on real-time performance and vital signs of groups of patients, which are monitored through wearable IoT devices. The paper introduces the I-TROPHYTS framework architecture along with its essential components. Furthermore, it elaborates on the implementation of the IoT monitoring infrastructure through the Bluetooh Mesh technology.

Borgo, S., DI FELICE, M., Esposito, A., Seidita, V., Spaletta, G., Toni, R., et al. (2024). IoT and Humanoid Robotics for Next Generation Motor Rehabilitation Systems. Institute of Electrical and Electronics Engineers Inc. [10.1109/DCOSS-IoT61029.2024.00120].

IoT and Humanoid Robotics for Next Generation Motor Rehabilitation Systems

Marco Di Felice;Alfonso Esposito;Giulia Spaletta;Ivan Zyrianoff
2024

Abstract

The recent Covid-19 pandemic has highlighted the pressure on healthcare infrastructure, emphasizing the necessity for more tailored and sustainable healthcare systems that exploit the potential of emerging technologies such as robotics and the Internet of Things (IoT). In this paper, we delve into this potential by presenting I-TROPHYTS, an innovative framework designed for the real-time and semi-autonomous supervision of motor rehabilitation activities in indoor settings. I-TROPHYTS introduces a visionary approach that leverages humanoid robotics to mimic the actions of physiotherapists. This robotic system dynamically adjusts motor rehabilitation routines based on real-time performance and vital signs of groups of patients, which are monitored through wearable IoT devices. The paper introduces the I-TROPHYTS framework architecture along with its essential components. Furthermore, it elaborates on the implementation of the IoT monitoring infrastructure through the Bluetooh Mesh technology.
2024
Proceedings 2024 of the 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
771
773
Borgo, S., DI FELICE, M., Esposito, A., Seidita, V., Spaletta, G., Toni, R., et al. (2024). IoT and Humanoid Robotics for Next Generation Motor Rehabilitation Systems. Institute of Electrical and Electronics Engineers Inc. [10.1109/DCOSS-IoT61029.2024.00120].
Borgo, Stefano; DI FELICE, Marco; Esposito, Alfonso; Seidita, Valeria; Spaletta, Giulia; Toni, Roberto; Zyrianoff, Ivan
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/998631
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact