An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine

Table 1

The attributes of biomedical voice measurements.

Number	Attributes	Explanation
1	MDVP:Fo (Hz)	Average vocal fundamental frequency
2	MDVP:Fhi (Hz)	Maximum vocal fundamental frequency
3	MDVP:Flo (Hz)	Minimum vocal fundamental frequency
4	MDVP:Jitter (%)	Several measures of variation in fundamental frequency
5	MDVP:Jitter (abs)
6	MDVP:RAP
7	MDVP:PPQ
8	Jitter:DDP
9	MDVP:Shimmer	Several measures of variation in amplitude
10	MDVP:Shimmer (dB)
11	Shimmer:APQ3
12	Shimmer:APQ5
13	MDVP:APQ
14	Shimmer:DDA
15	RPDE	Two nonlinear dynamical complexity measures
16	D2
17	NHR	The measure of ratio of noise to tonal components in the voice status
18	HNR
19	DFA	Signal fractal scaling exponent
20	spread1	Three nonlinear measures of fundamental frequency variation
21	spread2
22	PPE