Power spectrum analysis of EEG for watching 2D &amp; 3D videos and resting state

Manshouri, Negin; Maleki, Masoud; Kayıkçıoğlu, Temel

doi:10.1109/siu.2018.8404394

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…Using the pwelch function of MATLAB, this estimator is applied to fragmented time samples. In short, this method divides the time series data into several parts and then, for each part, calculates a new period, and the average PSD is estimated [27]. Based on Welch's method, PSD estimation involves dividing the signal into segments, taking the modified periodogram of these segments, and averaging the modified periodogram [28], [29].…”

Section: Periodogram Welchmentioning

confidence: 99%

The effect of power spectral density on the electroencephalography of autistic children based on the welch periodogram method

et al. 2023

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Autism spectrum disorder (ASD) is a serious mental disorder affecting social behavior. Some children also face intellectual delay. In people with ASD, the signals detected have abnormalities compared to normal people. This can be a reference in diagnosing the disorder with electroencephalography (EEG). This study will analyze the effect of Power spectral density (PSD) on the EEG of autistic children and also compare it with the PSD value on the EEG of normal children using the Welch Periodogram method approach. In the preprocessing stage, the Independent Component Analysis (ICA) method will be applied to remove artifacts, and a Finite Impulse Response (FIR) filter to reduce noise in the EEG signal. The study results indicate differences in the PSD values obtained in the autistic and normal EEG signals. The PSD value obtained in the autistic EEG signal is higher than the normal EEG signal in all frequency sub-bands. From the study results, the highest PSD value obtained by the autistic EEG signal is in the delta sub-band, which is 54.06 dB/Hz, while the normal EEG signal is only 33.14 dB/Hz at the same frequency sub-band. And in the Alpha and Beta sub-bands, the normal EEG signal increases the PSD value, while in the autistic EEG signal, the PSD value decreases in the Alpha and Beta sub-bands. In addition, FIR and ICA methods can also reduce noise and artifacts contained in autistic and normal EEG signals.

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Section: Periodogram Welchmentioning

confidence: 99%

The effect of power spectral density on the electroencephalography of autistic children based on the welch periodogram method

et al. 2023

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“…For all acquired EEG signals, the signal Power Spectral Density (PSD) was calculated using the Welch Method (Manshouri et al, 2018). PSD displays the power distribution among the frequency components.…”

Section: Figure 3 -Eeg Pattern Before and After Stunning Processmentioning

confidence: 99%

Effect of electrical hybrid-frequency waterbath stunning on the spontaneous electroencephalogram (EEG) and electrocardiogram (ECG) of broilers

Vega¹,

Sato

Piza

et al. 2021

Preprint

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Concerns about animal welfare and meat quality have encouraged research on new methods for the stunning of broilers during animal slaughter. In this study, the electroencephalogram (EEG) and electrocardiogram (ECG) of broilers were acquired during stunning using an electrical hybrid instead of a single frequency. Considering a square wave with a current of 220 mA and a frequency of 1100 Hz (duty-cycle 50%), the hybrid-frequency waveform is obtained generating pulses at 6600 Hertz in the pulse-width phase. Sixty broilers aged 42 days were randomly sampled; thirty were used for EEG measurement and thirty for ECG measurement. For EEG measurements, the birds' scalps were anesthetized, and EEG electrode needles were inserted on the subcutaneous part of the occipital scalp. For ECG, the non-invasive surface electrode was used. The electrodes were connected to a digital EEG/ECG system. The results showed that the hybrid-frequency waveform system generated epileptic forms in the birds' EEGs. Therefore, a hybrid-frequency system may present better carcass quality results, while preserving the birds' welfare, when compared with a single frequency system use. Keywords: poultry; unconsciousness; electrical stunning; animal welfare

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“…Numerous problems in signals acquired from biological systems can be tackled by applying spectrum analysis as a preliminary measurement before further processing is performed (Fong et al, 2016). Sophisticated spectrum measurements can be used to obtain information from bioelectrical signals; for example, EEG (Manshouri, Maleki, and Kayikcioglu, 2018;Costa and Cabral, 2000) and ECG (Baldin et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Bioelectrical pattern discrimination of Miconia plants by spectral analysis and machine learning

Gimenez

Pauleti

Silva

et al. 2020

Preprint

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We have conducted an in loco investigation into the species Miconia albicans (SW.) Triana and Miconia chamissois Naudin (Melastomataceae), distributed in different phytophysiognomies of three Cerrado fragments in the State of São Paulo, Brazil, to characterize their oscillatory bioelectrical signals and to find out whether these signals have distinct spectral density. The experiments provided a sample bank of bioelectrical amplitudes, which were analyzed in the time and frequency domain. On the basis of the power spectral density (PSD) and machine learning techniques, analyses in the frequency domain suggested that each species has a characteristic biological pattern. Comparison between the oscillatory behavior of the species clearly showed that they have bioelectrical features, that collecting data is feasible, that Miconia display a bioelectrical pattern, and that environmental factors influence this pattern. From the point of view of experimental Botany, new questions and concepts must be formulated to advance understanding of the interactions between the communicative nature of plants and the environment. The results of this on-site technique represent a new methodology to acquire non-invasive information that might be associated with physiological, chemical, and ecological aspects of plants.HighlightIn loco characterization of the bioelectrical signals of two Miconia species in the time and frequency domain suggests that the species have distinct biological patterns.

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Power spectrum analysis of EEG for watching 2D & 3D videos and resting state

Cited by 4 publications

References 19 publications

The effect of power spectral density on the electroencephalography of autistic children based on the welch periodogram method

The effect of power spectral density on the electroencephalography of autistic children based on the welch periodogram method

Effect of electrical hybrid-frequency waterbath stunning on the spontaneous electroencephalogram (EEG) and electrocardiogram (ECG) of broilers

Bioelectrical pattern discrimination of Miconia plants by spectral analysis and machine learning

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