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
Usage
data(parkinson)