Research Article
Extreme Learning Machine for Heartbeat Classification with Hybrid Time-Domain and Wavelet Time-Frequency Features
| ā | Predict labels | | N | L | R | A | V | / | a | ! | F | x | j | f | E | J | e | Q |
| True labels | N | 64803 | 20 | 47 | 128 | 129 | 1 | 4 | 14 | 36 | 1 | 51 | 35 | 0 | 1 | 0 | 0 | L | 14 | 4812 | 1 | 1 | 9 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | R | 20 | 0 | 4319 | 11 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | A | 143 | 4 | 1 | 1357 | 11 | 1 | 6 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | V | 85 | 16 | 3 | 33 | 4074 | 4 | 4 | 1 | 49 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | / | 4 | 1 | 0 | 0 | 0 | 4207 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | a | 10 | 0 | 0 | 11 | 4 | 1 | 48 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | ! | 9 | 0 | 0 | 1 | 7 | 1 | 0 | 217 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | F | 42 | 2 | 2 | 2 | 20 | 0 | 0 | 0 | 333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | x | 5 | 0 | 0 | 6 | 2 | 0 | 0 | 0 | 0 | 83 | 0 | 0 | 0 | 0 | 0 | 0 | j | 21 | 0 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 84 | 1 | 0 | 0 | 0 | 0 | f | 33 | 2 | 0 | 0 | 0 | 32 | 0 | 0 | 0 | 0 | 0 | 424 | 0 | 0 | 0 | 0 | E | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 49 | 0 | 0 | 0 | J | 22 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | e | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Q | 9 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 0 |
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