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, Antonia; Sabatelli, Antonio; Valenti, Simone; Pepa, Lucia; Spalazzi, Luca; Andrenelli, Elisa; Vada, Silvia; Baldini, Nicolò; Capecci, Marianna; Tinazzi, Michele; Farabolini, Gianmatteo; Gandolfi, Marialuisa; Bonardi, Giulia; Ceravolo, Maria Gabriella. - (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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/331233
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