Bradykinesia Detection System Using IoT Based Health Care System for Parkinson’s Disease Patient

Abstract

Parkinson’s disease (PD) is affecting around 1.47% of people aged 60 years or older and considered as a second most common movement disorder. It is resulted due to a reduction in the dopamine level. One of the PD characteristics is smallness and slowness of executed movement, called Bradykinesia. This study aims to develop an early detection system based on frequencies measurement of movement and the interpretation result would be analyzed with quantitative method using validity, coefficient determinant and ANOVA test. The data retrieve measurement frequencies. There are variables that will be analyzed the value from x,y,z axis and the value of frequency. As the results of the analysis of the validity test, this study uses the Pearson correlation test with a p-value of 0.538, Sig. (2-tailed) of 0.006, where the value interpreted that there was a reasonably strong correlation between the two variables with a significance level of 0.01 or 1%. An according to the value of adjusted R square is 79.7% the dependent variable represented the independent variable, whereas 20.3% is influenced by other parameter that not employed in this study. Also, the degree of freedom in ANOVA test is 3 with 25 numbers of samples.