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Sriraam et al., 2018 - Google Patents

Multichannel EEG based inter-ictal seizures detection using Teager energy with backpropagation neural network classifier

Sriraam et al., 2018

Document ID
13534770432495328606
Author
Sriraam N
Tamanna K
Narayan L
Khanum M
Raghu S
Hegde A
Kumar A
Publication year
Publication venue
Australasian physical & engineering sciences in medicine

External Links

Snippet

A long-term multichannel electroencephalogram recording plays a crucial role in recognizing the epileptic seizure activities from the brain lobes. This research study investigates the automated detection of epileptic seizures from multichannel …
Continue reading at link.springer.com (other versions)

Classifications

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    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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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
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    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4094—Diagnosing or monitoring seizure diseases, e.g. epilepsy
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