Stress analysis recorded in the EEG signal based on mathematical markers

Zolubak, Magda; Grochowicz, Barbara; Pelc, Mariusz; Kawala-Sterniuk, Aleksandra

doi:10.1109/mmar.2019.8864712

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…The method used to obtain the PSD parameter in this study is the Welch Periodogram method. This method has been widely used to obtain PSD parameters from EEG signals in previous studies and obtained satisfactory results [8]- [13]. This method also performs satisfactorily in obtaining PSD parameters than other methods, such as Burg, Multitaper, and periodogram [14]- [16].…”

Section: Introductionmentioning

confidence: 96%

“…This method also performs satisfactorily in obtaining PSD parameters than other methods, such as Burg, Multitaper, and periodogram [14]- [16]. Not only in epilepsy and autism, but the Welch method is also used in people with Parkinson's, sleep disorder, and stress to analyze differences in PSD values [8], [9], [17]. Due to this reason, this method is used in this study to obtain the PSD value.…”

Section: Introductionmentioning

confidence: 99%

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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: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

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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AI-Based Prediction of Myocardial Infarction Risk as an Element of Preventive Medicine

et al. 2022

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The incidence of myocardial infarction (MI) is growing year on year around the world. It is considered increasingly necessary to detect the risks early, respond through preventive medicines and, only in the most severe cases, control the disease with more effective therapies. The aim of the project was to develop a relatively simple artificial-intelligence tool to assess the likelihood of a heart infarction for preventive medicine purposes. We used binary classification to determine from a wide variety of patient characteristics the likelihood of heart disease and, from a computational point of view, determine what the minimum set of characteristics permits. Factors with the highest positive influence were: cp, restecg and slope, whilst factors with the highest negative influence were sex, exang, oldpeak, ca, and thal. The novelty of the described system lies in the development of the AI for predictive analysis of cardiovascular function, and its future use in a specific patient is the beginning of a new phase in this field of research with a great opportunity to improve pre-clinical care and diagnosis, and accuracy of prediction in preventive medicine.

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Stress analysis recorded in the EEG signal based on mathematical markers

Cited by 2 publications

References 6 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

AI-Based Prediction of Myocardial Infarction Risk as an Element of Preventive Medicine

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