Comparison of Bagging and Boosting Ensemble Machine Learning Methods for Automated EMG Signal Classification
The neuromuscular disorders are diagnosed using electromyographic (EMG) signals. Machine learning algorithms are employed as a decision support system to diagnose neuromuscular disorders. This paper compares bagging and boosting ensemble learning methods to classify EMG signals automatically. Even t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2019-01-01
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| Series: | BioMed Research International |
| Online Access: | http://dx.doi.org/10.1155/2019/9152506 |