Abstract
Speech and tremor tester - monitoring of neurodegenerative diseases using smartphone technology
Highlights
With ageing societies and global life expectancy constantly increasing, new challenges arise
Parkinson’s disease This paper covers a study on a group of Parkinson’s disease (PD) patients. It is a progressive disorder of the nervous system that affects one’s motor functions
3 different classifiers were tested on each dataset (A, B, C): 1) support-vector machines (SVM) without feature reduction 2) SVM with 2-component principal component analysis (PCA) 3) linear discriminant analysis (LDA)
Summary
With ageing societies and global life expectancy constantly increasing, new challenges arise. Produced smartphones are equipped with a microphone, and a whole set of sensors that could be used for the purposes of diagnostics It is shown in global statistics that the number of smartphone users around the world is increasing, with over 3 billion people using them nowadays [19]. If accurate models for speech and tremor diagnostics based on the smartphone input would be obtained, they could be used for remote monitoring of the disease. Such systems could benefit both doctors and patients in the long term
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