TABLE 2.
The comparison between different methods in terms of the number of subjects with at least one completely misclassified movement in a validation fold in intact subjects.
Commonly used features |
New proposed features |
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Features | WL |
MAV |
RMS |
DWT |
TMD |
TMAVDD |
ED |
All new features |
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Classifiers | LDA | SVM | MLP | LDA | SVM | MLP | LDA | SVM | MLP | LDA | SVM | MLP | LDA | SVM | MLP | LDA | SVM | MLP | LDA | SVM | MLP | Ensemble of learners |
Whole period | 20 | 38 | 40 | 14 | 38 | 40 | 29 | 38 | 40 | 11 | 17 | 40 | 15 | 29 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 4 |
Middle part | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 4 | 18 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 0 |
WL, waveform length; MAV, Mean Absolute Value; RMS, Root Mean Square; DWT, Discrete Wavelet Transform; TMD, Trimmed Mean of Density; TMAVDD, trimmed mean absolute value of derivative density; ED, Entropy of density. Bold values indicate that the best methods for analyzing the middle part.