Research Article
Diagnosing Parkinson’s Diseases Using Fuzzy Neural System
Table 1
List of measurement methods applied to acoustic signals recorded from each subject.
| | Name | ASCII subject name and recording number |
| | MDVP:Fo (Hz) | Average vocal fundamental frequency | | MDVP:Fhi (Hz) | Maximum vocal fundamental frequency | | MDVP:Flo (Hz) | Minimum vocal fundamental frequency | | MDVP:Jitter (%) | Five measures of variation in fundamental frequency | | MDVP:Jitter (Abs) | | MDVP:RAP | | MDVP:PPQ | | Jitter:DDP | | MDVP:Shimmer | Six measures of variation in amplitude | | MDVP:Shimmer (dB) | | Shimmer:APQ3 | | Shimmer:APQ5 | | MDVP:APQ | | Shimmer:DDA | | NHR | Two measures of ratio of noise to tonal components in the voice | | HNR | | RPDE | Two nonlinear dynamical complexity measures | | D2 | | DFA | Signal fractal scaling exponent | |
Spread1 | Three nonlinear measures of fundamental frequency variation | |
Spread2 | | PPE | | Status |
Health status of the subject: one, Parkinson’s; zero, healthy |
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