Comparison of EEG Characteristics between Dementia Patient and Normal Person Using Frequency Analysis Method

Jang, Yun-Seok; Park, Kyu-Chil; Han, Dong‐Wook

doi:10.13067/jkiecs.201.9.5.595

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…The concentration factors Theta, SMR and mid Beta waves represent as P(ɵ), P(SMR) and P(mid ϐ) respectively. The equation is shown as the equation ( 2) [9].…”

Section: Coefficient To Quantify the Correlation Between The Signals To Obtain Eeg Signals The Discretementioning

confidence: 99%

Analysis of EEG Characteristics for the Effectiveness Verification of Meditation Music

2014

The Journal of the Korea institute of electronic communication

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Recently, the meditation is getting a major concern because of the trend of wellbeing. The various meditation methods are introduced, but, we need to take an appropriate method for himself or herself. Especially, the numbers of meditators who are using meditation music while they are meditating are increasing. Some people say it is helpful, but others don't. Therefore, I have studied the impact of the meditation music in this paper. I have compared between the meditation with the music and without the music by measuring the channels of left and right hemisphere of prefrontal lobe with 14-channel EEG device. For the result, I have found that there are great difference between two experiments.

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“…The concentration factors Theta, SMR and mid Beta waves represent as P(ɵ), P(SMR) and P(mid ϐ) respectively. The equation is shown as the equation ( 2) [9].…”

Section: Coefficient To Quantify the Correlation Between The Signals To Obtain Eeg Signals The Discretementioning

confidence: 99%

Analysis of EEG Characteristics for the Effectiveness Verification of Meditation Music

2014

The Journal of the Korea institute of electronic communication

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“…The concentration factors Theta, SMR and mid Beta waves represent as P(ɵ), P(SMR) and P(mid ϐ) respectively [8]. However, the Alpha wave is also a critical rhythmic activity [5], [9], so the mid Beta is replaced by the Alpha wave in this paper.…”

Section: ⅱ Measuring Meditation Eeg Signalsmentioning

confidence: 99%

EEG Brainwave Analysis for Research on Meditation Influence to the Concentration

Jo¹

2014

The Journal of the Korea institute of electronic communication

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Many people complain their big or little stress due to the complicated city life in modern times, so they are exposed of the mental illness. Especially, not only students and office workers but also most people suffer from degradation of efficiency at work and keeping the high quality of life because of the insufficiency of concentration ability. To improve the concentration ability, the meditation is a substitution. The influence of meditation for the concentration ability is experimented with EEG brainwave. Some experienced meditators are participated for the experiments, and the left and right portion of prefrontal lobe, AF3 and AF4, are measured and analyzed. As a result, the changes of rhythmic activity of a unique pattern and power spectra are observed.

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“…When the characteristic of the products from the factory deviates from normal state or the connection of the products is abnormal both due to some mistakes in the production process, the resonant frequencies deviate also from their normal ones. Using this phenomenon, we can perform product investigation using frequency analysis to detect the failure of product design or the invisible crack of the product [7]- [8].…”

Section: Introductionmentioning

confidence: 99%

Sound Frequency Detection Using an Ultra-Low Power MCU

Choi¹,

Chung²

2017

IJEEE

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Materials made of metals have their own manifest resonant frequencies. Using this property, the quality test of products from the factory can be performed. An impact is applied to the product and the frequencies of the sound and/or vibration are measured using high-end equipment. They use a general purpose computer or a DSP (Digital Signal Processor)-based stand-alone system which is usually too large in-size to carry and expensive to build. In this paper, we introduce a system that is developed based on a MSP430 MCU (Micro Controller Unit) from TI (Texas Instrument). The ultra-low power MSP430 MCUs make it possible to make a frequency analyzer in a very small size without the need of a large-size battery. The proposed system can be used in situation where the frequency analyzer should be carried easily with an investigator and be built at low cost sacrificing some accuracy. We implemented the system using a Launchpad supplied by TI and could confirm that the proposed system could identify with a relatively high-accuracy the frequencies of various artificial and natural sounds. 

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Comparison of EEG Characteristics between Dementia Patient and Normal Person Using Frequency Analysis Method

Cited by 5 publications

References 10 publications

Analysis of EEG Characteristics for the Effectiveness Verification of Meditation Music

Analysis of EEG Characteristics for the Effectiveness Verification of Meditation Music

EEG Brainwave Analysis for Research on Meditation Influence to the Concentration

Sound Frequency Detection Using an Ultra-Low Power MCU

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