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

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.