matlab-based toolbox biosig Search Results


matlab-based toolbox biosig  (MathWorks Inc)
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biosignal-specific processing toolbox  (BioSignal Group)
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BioSignal Group biosignal-specific processing toolbox
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biopatrec  (MathWorks Inc)
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MathWorks Inc biopatrec
Feature extraction times for different datasets and features.
Biopatrec, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab 7.0.4  (MathWorks Inc)
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Feature extraction times for different datasets and features.
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kubios version 2.0  (BioSignal Group)
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Feature extraction times for different datasets and features.
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matlab r2021a  (MathWorks Inc)
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Feature extraction times for different datasets and features.
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Image Search Results


Feature extraction times for different datasets and features.

Journal: Frontiers in Neurorobotics

Article Title: PaWFE: Fast Signal Feature Extraction Using Parallel Time Windows

doi: 10.3389/fnbot.2019.00074

Figure Lengend Snippet: Feature extraction times for different datasets and features.

Article Snippet: Examples of publicly available code to run sEMG data analyses include: Biopatrec, a MATLAB-based research platform for the control of artificial limbs based on pattern recognition algorithms (Ortiz-Catalan et al., ); the Myoelectric Control Development Toolbox , a set of MATLAB scripts for myoelectric control (Chan and Green, ); The BioSig project, an open source library for bioelectric signal processing ; Bio-SP tool (Nabian et al., ); Physiolab (Muñoz et al., ).

Techniques: Extraction

Extracted signal features validation: random Forests classification results obtained using the considered signal features. The histogram includes the classification accuracy obtained for the signal features extracted using BioPatRec as reference.

Journal: Frontiers in Neurorobotics

Article Title: PaWFE: Fast Signal Feature Extraction Using Parallel Time Windows

doi: 10.3389/fnbot.2019.00074

Figure Lengend Snippet: Extracted signal features validation: random Forests classification results obtained using the considered signal features. The histogram includes the classification accuracy obtained for the signal features extracted using BioPatRec as reference.

Article Snippet: Examples of publicly available code to run sEMG data analyses include: Biopatrec, a MATLAB-based research platform for the control of artificial limbs based on pattern recognition algorithms (Ortiz-Catalan et al., ); the Myoelectric Control Development Toolbox , a set of MATLAB scripts for myoelectric control (Chan and Green, ); The BioSig project, an open source library for bioelectric signal processing ; Bio-SP tool (Nabian et al., ); Physiolab (Muñoz et al., ).

Techniques: Biomarker Discovery