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Kabupaten Nias Selatan

Badan Riset dan Inovasi Nasional

Informasi Dataset

07-11-2022

12-08-2024

59c5df32-e725-4b70-b975-c2ca0c147710

Dataset Serupa
JADE-ICA Algorithm for EOG Artifact Removal in EEG Recording

In EEG recording, the signal obtained is not entirely derived from the brain, bu...

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...

A Comparison of Extraction Techniques for the rapid EEG-P300 Signals

In this paper, three different methods for brain signal acquisition are presente...

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

Eye blinking known as ocular artifact cause changes to the electric fields over ...

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

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

Terbatas

An instrument that has special function to record electrical brain activity in scalp is electroencephalograph (EEG). Recently, has various function, one of them is brain computer interface (BCI). BCI application can make human brain interaction with environment without other parts of body. Mental task is the important part in BCI system. Mental task which generate from brain, especially happen in central lobe. In fact, mental task disturbed by other signal which generate from other parts of brain. It is make problem to extract the real mental task from brain. In this research algorithm ICA-JADE is used to extract mental task activity in EEG signal recorded. The experiment was collected in 6 subject people. Stimulus for each subject to move right hand for generate mental task have been design. Result of this research show ICA-JADE method can extract mental task from EEG signal recorded and the quantity perform of ICA-JADE is compared with the pure mental task signal. International Conferences on Technology, Informatics, Management, Engineering & Environtment, 19-21 August 2014, Bandung Indonesia.

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