Physical exercise is a significant non-pharmacological approach for individuals with Parkinson's disease (PD) to improve their condition. In this paper, a remote monitoring system for physical exercises has been proposed to enhance patients' rehabilitation. Wearable devices are utilized to collect health parameters throughout the day. These parameters are then stored on a remote server, facilitating subsequent analysis. The analysis employs techniques such as the Tukey test, PCA technique, and K-means clustering algorithm. The primary objectives of this analysis are twofold: first, to identify any changes in the patients' health status over the monitoring period, and second, to assess the acceptability of the system. By analyzing the collected data, the analysis aims to detect patterns, trends, and significant variations in the health parameters, providing valuable insights into the patients' progress. Additionally, it serves to evaluate the effectiveness and practicality of the system, ensuring its acceptability for both patients and healthcare providers involved in the rehabilitation process. © 2023 IEEE.

Consumer Devices for Health Parameter Collection and Analysis in Parkinson's Disease Telerehabilitation

Tinazzi, Michele;Gandolfi, Marialuisa;Bonardi, Giulia;
2023-01-01

Abstract

Physical exercise is a significant non-pharmacological approach for individuals with Parkinson's disease (PD) to improve their condition. In this paper, a remote monitoring system for physical exercises has been proposed to enhance patients' rehabilitation. Wearable devices are utilized to collect health parameters throughout the day. These parameters are then stored on a remote server, facilitating subsequent analysis. The analysis employs techniques such as the Tukey test, PCA technique, and K-means clustering algorithm. The primary objectives of this analysis are twofold: first, to identify any changes in the patients' health status over the monitoring period, and second, to assess the acceptability of the system. By analyzing the collected data, the analysis aims to detect patterns, trends, and significant variations in the health parameters, providing valuable insights into the patients' progress. Additionally, it serves to evaluate the effectiveness and practicality of the system, ensuring its acceptability for both patients and healthcare providers involved in the rehabilitation process. © 2023 IEEE.
2023
no
Inglese
ELETTRONICO
Comitato scientifico
13th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2023
Berlin, Germany
03-05 September 2023
Internazionale
2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)
IEEE Computer Society
9798350324150
204
209
6
Data Analysis; Healthcare; Parkinson's Disease; Smartwatch; Telemonitoring; Telerehabilitation
https://ieeexplore.ieee.org/document/10375649
none
Antoniello, Antonia; Sabatelli, Antonio; Valenti, Simone; Belbusti, Caterina; Pepa, Lucia; Spalazzi, Luca; Andrenelli, Elisa; Capecci, Marianna; Tinaz...espandi
13
04 Contributo in atti di convegno::04.01 Contributo in atti di convegno
273
info:eu-repo/semantics/conferenceObject
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1143746
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