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Sadikoglu et al., 2017 - Google Patents

Electromyogram (EMG) signal detection, classification of EMG signals and diagnosis of neuropathy muscle disease

Sadikoglu et al., 2017

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Document ID
1059165971156007566
Author
Sadikoglu F
Kavalcioglu C
Dagman B
Publication year
Publication venue
Procedia computer science

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Snippet

Electromyography (EMG) signals is usable in order to applications of biomedical, clinical, modern human computer interaction and Evolvable Hardware Chip (EHW) improvement. Advanced methods are needed for perception, disassembly, classification and processing of …
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Classifications

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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402—Electrocardiography, i.e. ECG
    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
    • A—HUMAN NECESSITIES
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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/04012—Analysis of electro-cardiograms, electro-encephalograms, electro-myograms
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