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Kabupaten Nias Selatan

Badan Riset dan Inovasi Nasional

Informasi Dataset

07-11-2022

12-08-2024

f780b67f-7fb5-4990-bf08-55b5b546b51d

Dataset Serupa
Artifacts Removal of EEG Signals using Adaptive Principal Component Analysis

Analysis of EEG activity usually raises the problem of differentiating between g...

Automatic Artifacts Removal of EEG Signals using Robust Principal Component Anal...

Analysis of EEG activity usually raises the problem of differentiating between g...

Removal Artifacts from EEG Signal Using Independent Component Analysis and Princ...

In recording the EEG signals are often contamination signal called artifacts. Th...

Adaptive Principal Component Analysis based Recursive Least Squares for Artifact...

Artifacts or noise sources increase the difficulty in analyzing the EEG and to o...

Extraction of Mental Task in Recorded EEG Signal using ICA-JADE Algorithm

An instrument that has special function to record electrical brain activity in s...

INFORMASI: Data berikut ini masih dalam proses pemenuhan Prinsip SDI.

Removing Ocular Artifact of EEG Signal Using SOBI-RO on Motor Imagery Experiment

Terbatas

Eye blinking known as ocular artifact cause changes to the electric fields over the scalp and as a result, EEG recordings are often significantly distorted and their interpretation problematic. In this paper, an algorithm using second order blind identification with robust orthogonalization (SOBI-RO) is used to remove the ocular artifact in a motor imagery experiment. Simulation results shows that the ocular artifacts are significantly removed and the sources of the brain activity are clearly identified. The identification performance using signal to distortion ratio value about 68.88 persen is achieved. International Conferences on Technology, Informatics, Management, Engineering & Environtment, 19-21 August 2014, Bandung Indonesia.

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