parkinson

0th

Percentile

Parkinson data set

A data set containing 195 observations from 2 parkinson types.

  • Type Class variable has 2 classes, there are 48 cases of healthy people and 147 cases with Parkinson. The feature variables are biomedical voice measures.

  • X1 Average vocal fundamental frequency

  • X2 Maximum vocal fundamental frequency

  • X3 Minimum vocal fundamental frequency

  • X4 MDVP:Jitter(%) measures of variation in fundamental frequency

  • X5 MDVP:Jitter(Abs) measures of variation in fundamental frequency

  • X6 MDVP:RAP measures of variation in fundamental frequency

  • X7 MDVP:PPQ measures of variation in fundamental frequency

  • X8 Jitter:DDP measures of variation in fundamental frequency

  • X9 MDVP:Shimmer measures of variation in amplitude

  • X10 MDVP:Shimmer(dB) measures of variation in amplitude

  • X11 Shimmer:APQ3 measures of variation in amplitude

  • X12 Shimmer:APQ5 measures of variation in amplitude

  • X13 MDVP:APQ measures of variation in amplitude

  • X14 Shimmer:DDA measures of variation in amplitude

  • X15 NHR measures of ratio of noise to tonal components in the voice

  • X16 HNR measures of ratio of noise to tonal components in the voice

  • X17 RPDE nonlinear dynamical complexity measures

  • X18 D2 nonlinear dynamical complexity measures

  • X19 DFA - Signal fractal scaling exponent

  • X20 spread1 Nonlinear measures of fundamental frequency variation

  • X21 spread2 Nonlinear measures of fundamental frequency variation

  • X22 PPE Nonlinear measures of fundamental frequency variation

Keywords
datasets
Usage
data(parkinson)
Format

A data frame with 195 rows and 23 variables

Aliases
  • parkinson
Documentation reproduced from package PPforest, version 0.1.1, License: GPL (>= 2)

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