Comparison of EEG sleep characteristic with music and aromatherapy stimuli

Kusumandari, Dwi Esti; Suhendra, M. Agung; Amri, M. Faizal; Simbolon, Artha Ivonita; Rizqyawan, Muhammad Ilham; Wardono, Prabu; Fauzan, Alyani Durrah; Turnip, Arjon

doi:10.1088/1742-6596/1080/1/012050

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…Similar results in an assessorblinded randomized controlled trial (RCT) design showed a positive impact on sleep perception and quality of life (Jespersen et al, 2019). In electroencephalography (EEG) studies using time-frequency analysis methods, Kusumandari et al (2018) demonstrated that music stimulation improved sleep quality.…”

Section: Introductionmentioning

confidence: 79%

SWS Brain-Wave Music May Improve the Quality of Sleep: An EEG Study

et al. 2020

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This study investigated the neural mechanisms of brainwave music on sleep quality. Background: Sleep disorders are a common health problem in our society and may result in fatigue, depression, and problems in daytime functioning. Previous studies have shown that brainwave music generated from electroencephalography (EEG) signals could emotionally affect our nervous system and have positive effects on sleep. However, the neural mechanisms of brainwave music on the quality of sleep need to be clarified. Methods: A total of 33 young participants were recruited and randomly divided into three groups. The participants listened to rapid eye movement (REM) brainwave music (Group 1: 13 subjects), slow-wave sleep (SWS) brainwave music (Group 2: 11 subjects), or white noise (WN) (Control Group: 9 subjects) for 20 min before bedtime for 6 days. EEG and other physiological signals were recorded by polysomnography. Results: We found that the sleep efficiency increased in the SWS group but decreased in REM and WN groups. The sleep efficiency in the SWS group was ameliorated [t(10) = −1.943, p = 0.076]. In the EEG power spectral density analysis, the delta power spectral density in the REM group and in the control group increased, while that in the SWS group decreased [F(2,31) = 7.909, p = 0.005]. In the network analysis, the functional connectivity (FC), assessed with Pearson correlation coefficients, showed that the connectivity strength decreased [t(10) = 1.969, p = 0.073] between the left frontal lobe (F3) and left parietal lobe (C3) in the SWS group. In addition, there was a negative correlation between the FC of the left frontal lobe and the left parietal lobe and sleep latency in the SWS group (r = −0.527, p = 0.064). Conclusion: Slow-wave sleep brainwave music may have a positive effect on sleep quality, while REM brainwave music or WN may not have a positive effect. Furthermore, better sleep quality might be caused by a decrease in the power spectral density of the delta band of EEG and an increase in the FC between the left frontal lobe and the left parietal lobe. SWS brainwave music could be a safe and inexpensive method for clinical use if confirmed by more data.

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Section: Introductionmentioning

confidence: 79%

SWS Brain-Wave Music May Improve the Quality of Sleep: An EEG Study

et al. 2020

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“…Applying a simple classifier such as K-nearest neighbour (KNN) with that frequency domain offered a maximum mean classification accuracy of 91.33% in the beta band [12]. The benefit of the FFT algorithm is that the computational time is reduced [13], which makes the FFT applicable in a real-time DoA measurement. [14], detrended moving average (DMA) [15], isomap-based estimation [16], Bayesian [17], and others [18].…”

Section: Eeg Data Processingmentioning

confidence: 99%

A novel spectral entropy-based index for assessing the depth of anaesthesia

Sook

2021

Brain Inf.

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Anaesthesia is a state of temporary controlled loss of awareness induced for medical operations. An accurate assessment of the depth of anaesthesia (DoA) helps anesthesiologists to avoid awareness during surgery and keep the recovery period short. However, the existing DoA algorithms have limitations, such as not robust enough for different patients and having time delay in assessment. In this study, to develop a reliable DoA measurement method, pre-denoised electroencephalograph (EEG) signals are divided into ten frequency bands (α, β1, β2, β3, β4, β, βγ, γ, δ and θ), and the features are extracted from different frequency bands using spectral entropy (SE) methods. SE from the beta-gamma frequency band (21.5–38.5 Hz) and SE from the beta frequency band show the highest correlation (R-squared value: 0.8458 and 0.7312, respectively) with the most popular DoA index, bispectral index (BIS). In this research, a new DoA index is developed based on these two SE features for monitoring the DoA. The highest Pearson correlation coefficient by comparing the BIS index for testing data is 0.918, and the average is 0.80. In addition, the proposed index shows an earlier reaction than the BIS index when the patient goes from deep anaesthesia to moderate anaesthesia, which means it is more suitable for the real-time DoA assessment. In the case of poor signal quality (SQ), while the BIS index exhibits inflexibility with cases of poor SQ, the new proposed index shows reliable assessment results that reflect the clinical observations.

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“…Sound or smell stimulation is one of the variables that affect the electrical waves in the brain. Therefore emotional and psychiatric therapies have often used voice stimulation to achieve the increase in certain waves in the brain [1]. White noise and pink noise are believed to affect human psychophysiological activity significantly.…”

Section: Introductionmentioning

confidence: 99%

Study on the Effect of Dalbergia pinnata (Lour.) Prain Essential Oil on Electroencephalography upon Stimulation with Different Auditory Effects

He,

Qin,

et al. 2024

Molecules

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Dalbergia pinnata (Lour.) Prain (D. pinnata) is a valuable medicinal plant, and its volatile parts have a pleasant aroma. In recent years, there have been a large number of studies investigating the effect of aroma on human performance. However, the effect of the aroma of D. pinnata on human psychophysiological activity has not been reported. Few reports have been made about the effects of aroma and sound on human electroencephalographic (EEG) activity. This study aimed to investigate the effects of D. pinnata essential oil in EEG activity response to various auditory stimuli. In the EEG study, 30 healthy volunteers (15 men and 15 women) participated. The electroencephalogram changes of participants during the essential oil (EO) of D. pinnata inhalation under white noise, pink noise and traffic noise stimulations were recorded. EEG data from 30 electrodes placed on the scalp were analyzed according to the international 10–20 system. The EO of D. pinnata had various effects on the brain when subjected to different auditory stimuli. In EEG studies, delta waves increased by 20% in noiseless and white noise environments, a change that may aid sleep and relaxation. In the presence of pink noise and traffic noise, alpha and delta wave activity (frontal pole and frontal lobe) increased markedly when inhaling the EO of D. pinnata, a change that may help reduce anxiety. When inhaling the EO of D. pinnata with different auditory stimuli, women are more likely to relax and get sleepy compared to men.

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Comparison of EEG sleep characteristic with music and aromatherapy stimuli

Cited by 5 publications

References 4 publications

SWS Brain-Wave Music May Improve the Quality of Sleep: An EEG Study

SWS Brain-Wave Music May Improve the Quality of Sleep: An EEG Study

A novel spectral entropy-based index for assessing the depth of anaesthesia

Study on the Effect of Dalbergia pinnata (Lour.) Prain Essential Oil on Electroencephalography upon Stimulation with Different Auditory Effects

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