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dc.contributor.authorPham, Ba Hoang-
dc.date.accessioned2016-09-28T04:06:11Z-
dc.date.available2016-09-28T04:06:11Z-
dc.date.issued2013-
dc.identifier.urihttp://repository.vnu.edu.vn/handle/VNU_123/14523-
dc.description.abstractThis thesis presented an efficient method of separating EMG artifacts from EEG signals containing epileptic spikes, specifically helps doctors accurately diagnose epilepsy by reduced muscular artifacts in EEG. Firstly, the noisy signals are pre-processed by a combined filter which consists of a low-pass, a high-pass and a notch filters. After that, we focused on blind source separation method - SOBI, on the basis that thesis evaluated the quality of this algorithm with simulated signals and real measured signals from patients. In the next step, the power spectrum density - PSD method is applied to identify the EMG source and take the compensation on each channel. We also investigated the effect of the frequency range to this identification. The algorithm is tested by simulated and experiment signals. The results were very good signal over noise reduction can represent clearly the epileptic spikes in the EEG may help clinicians accurately diagnose the patient's situation.en_US
dc.language.isoenen_US
dc.publisherĐHCNen_US
dc.subjectEEGen_US
dc.titleEMG REMOVAL FROM EEG BASED ON SOBI AND PSD METHODSen_US
dc.typeArticleen_US
Appears in Collections:Bài đăng tạp chí (LIC)


  • EMG REMOVAL FROM EEG BASED ON SOBI AND PSD METHOD.pdf
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  • Full metadata record
    DC FieldValueLanguage
    dc.contributor.authorPham, Ba Hoang-
    dc.date.accessioned2016-09-28T04:06:11Z-
    dc.date.available2016-09-28T04:06:11Z-
    dc.date.issued2013-
    dc.identifier.urihttp://repository.vnu.edu.vn/handle/VNU_123/14523-
    dc.description.abstractThis thesis presented an efficient method of separating EMG artifacts from EEG signals containing epileptic spikes, specifically helps doctors accurately diagnose epilepsy by reduced muscular artifacts in EEG. Firstly, the noisy signals are pre-processed by a combined filter which consists of a low-pass, a high-pass and a notch filters. After that, we focused on blind source separation method - SOBI, on the basis that thesis evaluated the quality of this algorithm with simulated signals and real measured signals from patients. In the next step, the power spectrum density - PSD method is applied to identify the EMG source and take the compensation on each channel. We also investigated the effect of the frequency range to this identification. The algorithm is tested by simulated and experiment signals. The results were very good signal over noise reduction can represent clearly the epileptic spikes in the EEG may help clinicians accurately diagnose the patient's situation.en_US
    dc.language.isoenen_US
    dc.publisherĐHCNen_US
    dc.subjectEEGen_US
    dc.titleEMG REMOVAL FROM EEG BASED ON SOBI AND PSD METHODSen_US
    dc.typeArticleen_US
    Appears in Collections:Bài đăng tạp chí (LIC)


  • EMG REMOVAL FROM EEG BASED ON SOBI AND PSD METHOD.pdf
    • Size : 7,05 kB

    • Format : Adobe PDF

    • View : 
    • Download :