Machine Learning-Aided Monitoring and Prediction of Respiratory and Neurodegenerative Diseases Using Wearables (2023)
Abstract / truncated to 115 words
This thesis focuses on wearables for health status monitoring, covering applications aimed at emergency solutions to the COVID-19 pandemic and aging society. The methods of ambient assisted living (AAL) are presented for the neurodegenerative disease Parkinson’s disease (PD), facilitating ’aging in place’ thanks to machine learning and around wearables - solutions of mHealth. Furthermore, the approaches using machine learning and wearables are discussed for early-stage COVID-19 detection, with encouraging accuracy. Firstly, a publicly available dataset containing COVID-19, influenza, and healthy control data was reused for research purposes. The solution presented in this thesis is considering the classification problem and outperformed the state-of-the-art methods, whereas the original paper introduced just anomaly detection and not shown the ...
aging society – artificial intelligence – COVID-19 – machine learning – parkinson’s disease – signal processing – wearables
Information
- Author
- Justyna Skibińska
- Institution
- Brno University of Technology & Tampere University
- Supervisors
- Publication Year
- 2023
- Upload Date
- July 31, 2024
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