Preliminary Study on Analyzing EEG Alpha Brainwave Signal Activities Based on Visual Stimulation

Isa, Iza Sazanita; Zainuddin, Balkis Solehah; Hussain, Z.; Sulaiman, Siti Noraini

doi:10.1016/j.procs.2014.11.037

Cited by 13 publications

(8 citation statements)

References 7 publications

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“…The condition of relaxation when listening to the Quran is demonstrated by a description of the activity of the brain, which is dominated by the α wave (Isa et al, 2014). It was also found that the state of relaxation reached while listening to murattal helps with anxiety.…”

Section: Introductionmentioning

confidence: 93%

Efficacy of Listening to Murattal in Reducing the Pain Experienced by ICU Patients

Purnawan

2021

Jur. Kep. Soed.

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<p>Background: Pain is one of the main problems in patients with ICU. Inadequate handling can cause adverse effects such as unstable hemodynamics, trigger stress, and thus hinder the healing process. Non-pharmacological intervention is needed to help manage pain in patients with ICU. Purpose: This study aims to identify the effect of murottal listening to pain in ICU patients. Methods: This is a quasi-experiment with pre-test and post-test with control group design. The sampling technique was simple random sampling, consisting of 40 respondents divided into two groups. The Critical Pain Observation Tool (CPOT) is used to measure pain. Statistics using a paired t-test, Wilcoxon-test, and Mann Whitney. Results: Significant decreases in pain scores were observed in treatment groups of 4, 5 to 4,0; p = 0,013. In the control group, there was a significant decrease in pain scores from 4,8 to 4,3; p = 0,001. There was no significant difference between the median decrease in pain in the intervention group (0.001 (-1-2.0) and the control group (0.001 (0.001-1.0)) with p = 0.242. Conclusion: Murottal listening does not have a significant effect on pain in patients of ICU.</p>

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Section: Introductionmentioning

confidence: 93%

Efficacy of Listening to Murattal in Reducing the Pain Experienced by ICU Patients

Purnawan

2021

Jur. Kep. Soed.

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“…Blocks. Mittlerweile wurde empirisch abgesichert, dass sich eine verstärkte neuronale α-Wellen-Aktivität durch visuelle Stimuli provozieren lässt [20] und dass damit neurovegetative Entspannung korreliert [4] [30].…”

Section: Biodiversität Und Neurobiologieunclassified

Ökopsychosomatik und Ökoimmunologie: Was Biodiversität mit Gesundheit zu tun hat

Arvay¹

2022

Zeitschrift für Komplementärmedizin

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SummaryDie Ökopsychosomatik beschreibt die Wirkung vonstofflichen sowie nichtstofflichen Stimulanzien aus Ökosystemenauf die psychische und somatische Gesundheitdes Menschen. Sie erforscht die pathogenen und salutogenenUmwelt- und Natureinflüsse, um die daraus gewonnenenErkenntnisse für die öffentliche Gesundheitsowie für die Therapie von Krankheitszuständen nutzbarzu machen. Im ökopsychosomatischen Paradigma wirdder menschliche Organismus als eingebunden in einenevolutionsbedingten Funktionskreis mit seinen natürlichenLebensräumen betrachtet. Der Mensch ist Teil derBiodiversität. Nicht nur Umweltschadstoffe wirken sichungünstig auf Gesundheit und Genesungsaussichtenaus, sondern auch die Durchbrechung des Funktionskreisesdurch Trennung von den Einflüssen intakter Ökosysteme.Die „Waldmedizin“ ist als evidenzbasiertes Beispielder angewandten Ökopsychosomatik zu betrachten.Der Artikel gibt einen Überblick über dasinterdisziplinäre Feld der Ökopsychosomatik.

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“…The frequency components are often grouped into bands, these are the alpha, beta, gamma, delta and theta bands. The frequency limits of the bands are not precisely defined, the limits used are slightly different for different articles [5,7,11]. Ranges used by us are summarized in Table 1.…”

Section: Data Preprocessingmentioning

confidence: 99%

Motor imagery EEG classification using feedforward neural network

Majoros¹,

Oniga²,

Xie³

2021

AMI

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Electroencephalography (EEG) is a complex voltage signal of the brain and its correct interpretation requires years of training. Modern machinelearning methods help us to extract information from EEG recordings and therefore several brain-computer interface (BCI) systems use them in clinical applications.By processing the publicly available PhysioNet EEG dataset, we extracted information that could be used for training feedforward neural network to classify three types of activities performed by 109 volunteers. While volunteers were performing different activities, a BCI2000 system was recording their EEG signals from 64 electrodes. We used motor imagery runs where a target appeared on either the top or the bottom of a screen. The subject was instructed to imagine opening and closing either both his/her fists (if the target is on top) or both his/her feet (if the target is on the bottom) until the target disappears from the screen.We used the EEGLAB Matlab toolbox for EEG signal processing and applied several feature extraction techniques. Then we evaluated the classification performance of feedforward, multilayer perceptron (MLP) networks

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Preliminary Study on Analyzing EEG Alpha Brainwave Signal Activities Based on Visual Stimulation

Cited by 13 publications

References 7 publications

Efficacy of Listening to Murattal in Reducing the Pain Experienced by ICU Patients

Efficacy of Listening to Murattal in Reducing the Pain Experienced by ICU Patients

Ökopsychosomatik und Ökoimmunologie: Was Biodiversität mit Gesundheit zu tun hat

Motor imagery EEG classification using feedforward neural network

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