Parkinson's disease telemonitoring and telerehabilitation based on commercial wearable sensor data analysis: a pilot study
- Resource Type
- Conference
- Authors
- Sabatelli, Antonio; Valenti, Simone; Antoniello, Antonia; Di Tillo, Maria; Pepa, Lucia; Spalazzi, Luca; Andrenelli, Elisa; Capecci, Marianna; Ceravolo, Maria Gabriella
- Source
- 2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Consumer Electronics (ICCE-Berlin), 2022 IEEE 12th International Conference on. :1-6 Sep, 2022
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Fields, Waves and Electromagnetics
General Topics for Engineers
Power, Energy and Industry Applications
Transportation
Wearable Health Monitoring Systems
Data analysis
Parkinson's disease
Medical treatment
Prediction algorithms
Biomedical monitoring
Stress
Data Analysis
Healthcare
Telerehabilitation
Telemonitoring
Parkinson's Disease
Smartwatch
- Language
- ISSN
- 2166-6822
Telemonitoring and telerehabilitation are important solutions to improve the clinical outcome in people with Parkin-son's disease (PD). This work presents a method for remote mon-itoring of people with PD while they perform telerehabilitation sessions at their home. The method is based on data collected by a commercial smartwatch and is aimed at quantitatively assessing the effects of rehabilitation therapy on patients' habits and clinical status. Data analysis adopts statistical analysis (One-way ANOVA) to find significant changes in physiological variables. It was tested on a pilot study involving 5 people with PD. Obtained results show that the proposed method may be useful to help understand the evolution of physiological variables throughout the rehabilitation therapy. However, the small amount of data and enrolled participants do not allow to individuate a cause-effect relationship between telerehabilitation and health status nor to draw general conclusions. Further research is warranted.