A Comparison of Classification based Confidence Metrics for use in the Design of Myoelectric Control Systems

Scheme, Erik ;   Englehart, Kevin

Tags Biomedical signal classificationBiomedical simulation involving signal processingPattern recognition methods for data mining in biosignals

In many pattern recognition applications, confidence scores are used to extract more information than discrete class membership alone, yet...

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A Robust Myoelectric Pattern Recognition using Online Sequential Extreme Learning Machine for Finger Movement Classification

Anam, Khairul ;   Al-Jumaily, Adel

Tags Biomedical signal classificationSignal processing in physiological systemsNeural networks in biosignal processing and classification

A robust myoelectric pattern-recognition-system requires a system that should work in the real application as good as in the laboratory....

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Enhanced Robustness of Myoelectric Pattern Recognition to Across-Day Variation through Invariant Feature Extraction

Liu, Jianwei ;   Zhang, Dingguo ;   Sheng, Xinjun ;   Zhu, Xiangyang

Tags Biomedical signal classification

Robust pattern recognition is critical for myoelectric prosthesis (MP) developed in the laboratory to be used in real life. This study focuses...

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Individual Finger Classification from Surface EMG: Influence of Electrode Set

Celadon, Nicolò ;   Dosen, Strahinja ;   Paleari, Marco ;   Farina, Dario ;   Ariano, Paolo

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignals

The aim of this work was to minimize the number of channels, determining acceptable electrode locations and optimizing electrode-recording...

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Residuals of Autoregressive Model Providing Additional Information for Feature Extraction of Pattern Recognition-Based Myoelectric Control

Pan, Lizhi ;   Zhang, Dingguo ;   Sheng, Xinjun ;   Zhu, Xiangyang

Tags Biomedical signal classificationTime-frequency analysis of biosignals

Myoelectric control based on pattern recognition has been studied for several decades. Autoregressive (AR) features are one of the mostly...

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Unsupervised Learning Technique for Surface Electromyogram Denoising from Power Line Interference and Baseline Wander

Niegowski, Maciej ;   Zivanovic, Miroslav ;   Gómez, Marisol ;   Lecumberri, Pablo

Tags Time-frequency analysis of biosignalsBlind source separation

We present a novel approach to single-channel power line interference (PLI) and baseline wander (BW) removal from surface electromyograms...

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