Diagnosis of Parkinson’s Disease using Fast Fourier Transform

The locomotive impairment owing to the deterioration of neurons in the substantia nigra that generates dopamine is known as Parkinson’s Disease. In this study, numerous techniques employed by the investigators has been exemplified. Fast Fourier Transform has been proposed for eliciting the features from the gait signals. The prognostication of PD is performed by multiple classifiers and good accuracy, precision, F1 score, and recall has been attained. The highest accuracy of 93.10% has been achieved by Naïve Bayes for the classification.