Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques

Chaddad, Ahmad; Wu, Yongbo; Kateb, Reem; Bouridane, Ahmed

doi:10.3390/s23146434

Cited by 37 publications

(18 citation statements)

References 162 publications

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“…Sixth, various EEG analysis methods were used. For detailed information on EEG signal analysis methods, please refer to the reviews [80,81]. Seventh, variations in patient demographics, particularly age, were observed, impacting EEG results.…”

Section: Sources Of Inconsistencies In Results and Prospects For Avoi...mentioning

confidence: 99%

EEG in Down Syndrome—A Review and Insights into Potential Neural Mechanisms

Chmiel,

Rybakowski,

Leszek

2024

Brain Sciences

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Introduction: Down syndrome (DS) stands out as one of the most prevalent genetic disorders, imposing a significant burden on both society and the healthcare system. Scientists are making efforts to understand the neural mechanisms behind the pathophysiology of this disorder. Among the valuable methods for studying these mechanisms is electroencephalography (EEG), a non-invasive technique that measures the brain’s electrical activity, characterised by its excellent temporal resolution. This review aims to consolidate studies examining EEG usage in individuals with DS. The objective was to identify shared elements of disrupted EEG activity and, crucially, to elucidate the neural mechanisms underpinning these deviations. Searches were conducted on Pubmed/Medline, Research Gate, and Cochrane databases. Results: The literature search yielded 17 relevant articles. Despite the significant time span, small sample size, and overall heterogeneity of the included studies, three common features of aberrant EEG activity in people with DS were found. Potential mechanisms for this altered activity were delineated. Conclusions: The studies included in this review show altered EEG activity in people with DS compared to the control group. To bolster these current findings, future investigations with larger sample sizes are imperative.

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Section: Sources Of Inconsistencies In Results and Prospects For Avoi...mentioning

confidence: 99%

EEG in Down Syndrome—A Review and Insights into Potential Neural Mechanisms

Chmiel,

Rybakowski,

Leszek

2024

Brain Sciences

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“…Regression algorithms are simple but require one or more reference channels and suffer from bidirectional contamination. One limitation is that it is effective for denoising the EEG signal only from ocular artifacts [12], [23], [47]. Averaging is another commonly employed denoising technique.…”

Section: ) Semi-automated Basic Preprocessingmentioning

confidence: 99%

“…Yet, some single-channel versions, such as single-channel ICA, have been explored [61]. The dominant BSS algorithms are Independent Component Analysis (ICA), Principal Component Analysis (PCA), Canonical Correlation Analysis (CCA), Morphological Component Analysis (MCA) [12], [24], [47], Artifact Subspace Reconstruction (ASR) [11], and Spatio-Spectral Decomposition (SSD). The optimal choice is defined by the type of captured data [15].…”

Section: C: Blind Source Separation (Bss)mentioning

confidence: 99%

A Comprehensive Survey of EEG Preprocessing Methods for Cognitive Load Assessment

Kyriaki,

Koukopoulos,

Fidas

2024

IEEE Access

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Preprocessing electroencephalographic (EEG) signals during computer-mediated Cognitive Load tasks is crucial in Human-Computer Interaction (HCI). This process significantly influences subsequent EEG analysis and the efficacy of Artificial Intelligence (AI) models employed in Cognitive Load Assessment.Consequently, it stands as an indispensable procedure for developing dependable systems capable of adapting to users' cognitive capacities and constraints. We systematically analyzed fifty-seven (57) research papers on computer-mediated Cognitive Load EEG experiments published between 2018 and 2023. The preprocessing methods identified were multiple, controversial, and strongly dependent on the particularities of each experiment and the derived experimental dataset. Our investigation involved the meticulous classification of preprocessing methods based on distinct parameters, namely the degree of user intervention, the noise level, and the subject pool size. Particular attention was paid to semi-automated denoising technology since conventional methods, advanced approaches, and standardized pipelines overwhelm research, but no optimum solution is available yet. This survey is anticipated to provide a valuable contribution to the rising demand for an efficient and fully automated preprocessing approach in EEG-based computerized Cognitive Load experiments.

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“…To our knowledge, there are no experimental reports on the brain function underlying shamanic trance, although some exist on states of consciousness possibly similar to this trance. Most of these reports come from electroencephalogram (EEG) recordings that indicate five waves or signals with different frequencies (Hertz) associated with differentiated physiological, cognitive, and behavioral states and processes: delta (0.5–4 Hz) associated with deep sleep; theta (4–8 Hz) with basal sleep activity; alpha (8–13 Hz) with wakefulness at quiet rest; beta (13–30 Hz) with conscious wakefulness; and gamma (>30 Hz) with conscious perception, memory, and complex thinking ( Malik and Ullah, 2017 ; Chaddad et al, 2023 ). Transcendental meditation is associated with brain activity that oscillates between alpha and beta waves ( Lyubimov, 1999 ).…”

Section: Introductionmentioning

confidence: 99%

Neuroanthropology of shamanic trance: a case study with a ritual specialist from Mexico

Toriz,

Fagetti,

Terán-Pérez

et al. 2024

Front. Psychol.

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In Mexico, shamans are recognized for the gift of entering a deep trance that allows them to know the origin of the diseases and conflicts that afflict people. They commonly treat patients through limpias (cleansing) to extract negative elements sent by a witch or that were “collected” in places that harbor “evil winds.” We present a case study of an 81-year-old Mexican shaman who noticed her gift in childhood. Electroencephalographic recordings were made while the shaman performed three activities: reading cards to diagnose a patient and answer the questions he posed; limpia with chicken eggs, stones, and bells to absorb adverse “things”; and the incorporation trance through which the deceased is believed to occupy the shaman’s body to use it as a communication channel. Alpha activity was observed when concentrated, suggesting a hypnagogic-like state. Predominant beta and gamma oscillations were observed, suggesting a potential plastic phenomenon that modulates the assimilation of external and internal referents guiding temporal schemes for action, attention, and the integration of mnemonic, sensory, and imaginative elements. We used a neuroanthropological approach to understand shamanic trance as a biological potential of the human brain to induce non-ordinary states of consciousness linked to cultural beliefs and practices.

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Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques

Cited by 37 publications

References 162 publications

EEG in Down Syndrome—A Review and Insights into Potential Neural Mechanisms

EEG in Down Syndrome—A Review and Insights into Potential Neural Mechanisms

A Comprehensive Survey of EEG Preprocessing Methods for Cognitive Load Assessment

Neuroanthropology of shamanic trance: a case study with a ritual specialist from Mexico

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