Telemonitoring and telerehabilitation techniques are significant approaches for people with Parkinson’s disease (PD) to improve their clinical health status. In this work, we present a system to monitor people with PD during their physical exercise sessions. Wearable devices are used to collect 24-hour health parameters, that are successively stored on a remote server and then analyzed. A clinical and technical analysis has been conducted on this data; the second one exploits techniques such as the Tukey test, PCA technique, and the K-means clustering algorithm. The main goal is to identify changes in patients’ health status over 3 months (monitoring period) and assess the acceptability of the system.
Acceptability and clinical usefulness of a telemonitoring and telerehabilitation system in people with Parkinson’s Disease in different disease stages: preliminary findings from the RAPIDO study / Antoniello, A., Sabatelli, A., Valenti, S., Pepa, L., Spalazzi, L., Andrenelli, E., Vada, S., Baldini, N., Capecci, M., Tinazzi, M., Farabolini, G., Gandolfi, M., Bonardi, G., Ceravolo, M.G.. - (2023). (4th Italian Workshop on Artificial Intelligence for an Ageing Society, AIxAS 2023 Rome 9 November 2023).
Acceptability and clinical usefulness of a telemonitoring and telerehabilitation system in people with Parkinson’s Disease in different disease stages: preliminary findings from the RAPIDO study
Antoniello, Antonia;Sabatelli, Antonio;Valenti, Simone;Pepa, Lucia
;Spalazzi, Luca;Andrenelli, Elisa;Vada, Silvia;Baldini, Nicolò;Capecci, Marianna;Farabolini, Gianmatteo;Ceravolo, Maria Gabriella
2023-01-01
Abstract
Telemonitoring and telerehabilitation techniques are significant approaches for people with Parkinson’s disease (PD) to improve their clinical health status. In this work, we present a system to monitor people with PD during their physical exercise sessions. Wearable devices are used to collect 24-hour health parameters, that are successively stored on a remote server and then analyzed. A clinical and technical analysis has been conducted on this data; the second one exploits techniques such as the Tukey test, PCA technique, and the K-means clustering algorithm. The main goal is to identify changes in patients’ health status over 3 months (monitoring period) and assess the acceptability of the system.| File | Dimensione | Formato | |
|---|---|---|---|
|
Antoniello_Acceptability-clinical-usefulness-telemonitoring_2023.pdf
accesso aperto
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza d'uso:
Creative commons
Dimensione
689.27 kB
Formato
Adobe PDF
|
689.27 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


