From: Telemonitoring Parkinson’s disease using machine learning by combining tremor and voice analysis
Serial | Feature name and description | Rank (B) | Rank (M) | Rank (F) |
---|---|---|---|---|
1 | MDVP: Fo(Hz); Avg. Fundamental Freq. | 3 | 2 | 5 |
2 | MDVP: Fhi(Hz); Max. Fundamental Freq. | 9 | 13 | 2 |
3 | MDVP: Flo(Hz); Min. Fundamental Freq. | 8 | 5 | 21 |
4 | MDVP: Jitter [32]; \((\%)\) | 17 | 18 | 3 |
5 | MDVP: Jitter(abs) [32]; | 19 | 22 | 10 |
6 | MDVP: RAP [32]; | 22 | 21 | 16 |
7 | MDVP: PPQ [32]; | 13 | 9 | 12 |
8 | Jitter: DDP [32]; | 21 | 17 | 18 |
9 | MDVP: Shimmer [32]; | 11 | 19 | 19 |
10 | MDVP: Shimmer(db) [32]; | 15 | 10 | 20 |
11 | Shimmer: APQ3 [32]; | 20 | 16 | 13 |
12 | Shimmer: APQ5 [32]; | 14 | 1 | 15 |
13 | MDVP: APQ [32] | 7 | 14 | 11 |
14 | Shimmer: DDA [32]; | 5 | 20 | 17 |
15 | NHR; noise-to-harmonics ratio [32] | 16 | 12 | 14 |
16 | HNR; harmonics-to-noise ratio [32] | 18 | 8 | 22 |
17 | RPDE; recurrence period density entropy [33] | 12 | 11 | 6 |
18 | D2; correlation dimension [34] | 2 | 3 | 7 |
19 | DFA; detrended fluctuation analysis [33] | 1 | 7 | 9 |
20 | Spread1; a non-linear measure [22] | 4 | 4 | 1 |
21 | Spread2; a non-linear measure [22] | 6 | 6 | 8 |
22 | PPE; pitch period entropy [22] | 10 | 15 | 4 |