Parkinson's disease speech classification data set

Description

Parkinson's disease speech classification data set

Details

From the UCI ML archive, the description is "The data used in this study were gathered from 188 patients with PD (107 men and 81 women) with ages ranging from 33 to 87 (65.1 p/m 10.9) at the Department of Neurology in Cerrahpaşa Faculty of Medicine, Istanbul University. The control group consists of 64 healthy individuals (23 men and 41 women) with ages varying between 41 and 82 (61.1 p/m 8.9). During the data collection process, the microphone is set to 44.1 KHz and following the physician's examination, the sustained phonation of the vowel ⁠/a/⁠ was collected from each subject with three repetitions."

The data here are averaged over the replicates.

Value

Source

UCI ML repository (data) https://archive.ics.uci.edu/ml/datasets/Parkinson%27s+Disease+Classification#,

Sakar et al (2019), "A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform", Applied Soft Computing, V74, pg 255-263.

Examples

data(pd_speech)
str(pd_speech)