International Journal For Multidisciplinary Research

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EEG Artifacts Removal: A Detailed Review Based Study

Author(s) KEERTHANA H MAGADI, CHANDRASEKAR SHASTRY, DEVARAJ VERMA C
Country India
Abstract Electroencephalography, or EEG for short, is a technique used to record the electrical activity of the brain. This EEG detects errors that affect how the human brain functions. This method is the most commonly used for recording the brain in laboratory research, clinical investigations, patient health monitoring, diagnostics, and a variety of other applications due to its non-invasiveness and cost-benefit ratio. Most EEG recordings are contaminated by a variety of irregularities, including those caused by electrode displacement, motion, ocular, and muscular activity related EMG anomalies. These unwanted artifacts may make it difficult to distinguish genuine information from them, in addition to confusing the brain's information processing that supports them. EEG signal artifacts can be removed in a variety of ways. The top and most popular artifact reduction techniques are listed on this page as PCA, pure EEG, and wavelet transform. The study provides a thorough evaluation of current artifact identification and removal methods from scalp EEG for all conceivable EEG-based applications.
Keywords EEG, Artifacts, Artifacts Removal, PCA, BSS, Wavelet
Field Computer > Electronics
Published In Volume 5, Issue 3, May-June 2023
Published On 2023-05-27
Cite This EEG Artifacts Removal: A Detailed Review Based Study - KEERTHANA H MAGADI, CHANDRASEKAR SHASTRY, DEVARAJ VERMA C - IJFMR Volume 5, Issue 3, May-June 2023. DOI 10.36948/ijfmr.2023.v05i03.3192
DOI https://doi.org/10.36948/ijfmr.2023.v05i03.3192
Short DOI https://doi.org/gr9r3d
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E-ISSN 2582-2160
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