The advent of the COVID-19 pandemic has highlighted the urgent need for remote healthcare solutions, prompting an investigation into the integration of telemedicine, telerehabilitation and advanced data analysis to enhance patient care for Parkinson Disease (PD). The research project presented in this thesis leverages state-of-the-art wearable technology and IoT devices for the continuous monitoring of PD patients, offering a novel approach to managing the disease outside traditional clinical settings, and is part of the RAPIDO project partially funded by Fondazione Cariverona. The effectiveness of wearable technologies in monitoring and rehabilitating neurological disorders, specifically PD, is systematically examined. The development of a telemonitoring and telerehabilitation platform demonstrates how continuous, personalized therapy sessions and the collection of health-related data can significantly impact the management of motor and non-motor symptoms in PD patients. Precision cybersecurity ensures the protection of sensitive health data, addressing one of the critical challenges in digital health today. Moreover, the analysis of collected data using artificial intelligence algorithms reveals insights into stress detection, health status monitoring, and the overall effectiveness of rehabilitation exercises. The findings underscore the potential of telemedicine and telerehabilitation to revolutionize PD care, offering a glimpse into the future of personalized and accessible healthcare. Challenges related to technological disparities, training for patients and healthcare providers, and the development of adaptive AI algorithms are discussed, highlighting areas for further research and development. Contributions to the field include showcasing the feasibility, security, and efficacy of a comprehensive telemonitoring and telerehabilitation platform for PD, paving the way for broader adoption of such technologies in healthcare
Telemonitoring and Telerehabilitation in Parkinson’s Disease: An Innovative Approach Using Wearable Devices / Sabatelli, Antonio. - (2024 Jun 16).
Telemonitoring and Telerehabilitation in Parkinson’s Disease: An Innovative Approach Using Wearable Devices
SABATELLI, ANTONIO
2024-06-16
Abstract
The advent of the COVID-19 pandemic has highlighted the urgent need for remote healthcare solutions, prompting an investigation into the integration of telemedicine, telerehabilitation and advanced data analysis to enhance patient care for Parkinson Disease (PD). The research project presented in this thesis leverages state-of-the-art wearable technology and IoT devices for the continuous monitoring of PD patients, offering a novel approach to managing the disease outside traditional clinical settings, and is part of the RAPIDO project partially funded by Fondazione Cariverona. The effectiveness of wearable technologies in monitoring and rehabilitating neurological disorders, specifically PD, is systematically examined. The development of a telemonitoring and telerehabilitation platform demonstrates how continuous, personalized therapy sessions and the collection of health-related data can significantly impact the management of motor and non-motor symptoms in PD patients. Precision cybersecurity ensures the protection of sensitive health data, addressing one of the critical challenges in digital health today. Moreover, the analysis of collected data using artificial intelligence algorithms reveals insights into stress detection, health status monitoring, and the overall effectiveness of rehabilitation exercises. The findings underscore the potential of telemedicine and telerehabilitation to revolutionize PD care, offering a glimpse into the future of personalized and accessible healthcare. Challenges related to technological disparities, training for patients and healthcare providers, and the development of adaptive AI algorithms are discussed, highlighting areas for further research and development. Contributions to the field include showcasing the feasibility, security, and efficacy of a comprehensive telemonitoring and telerehabilitation platform for PD, paving the way for broader adoption of such technologies in healthcareI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
