國家衛生研究院 NHRI:Item 3990099045/4856
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/4856


    Title: Portable active surface Laplacian EEG sensor for real-time Mu rhythms detection
    Other Titles: 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
    Authors: Chen, GS;Chen, CW;Ju, MS;Lin, CC;Lu, CC
    Contributors: Division of Medical Engineering Research
    Abstract: A novel active surface Laplacian electroencephalogram (LEEG) sensor for the real-time mu rhythms detection has been developed In our study. Analog LEEG signals with high signal to noise ratio obtained directly by using the active sensor can reduce the duration and quantum error of digital signal processing and computation for the quick and precise control of brain-computer interface (BCI) systems. The portable active surface LEEG sensor comprises five gold electrodes integrated to a cross-shaped structure and a battery-powered, low-noise amplifier with the following specification: gain of 10,000, band-pass filtering from 2.5 Hz to 55 Hz, input impedance of 10 GΩ, common mode rejection ratio (CMRR) of 110 dB. The clinical experiments showed that the amplitude suppression of mu waves detected directly by active surface LEEG sensors was obvious as the normal subject was asked to imagine grasping something with his right hand. Furthermore, the distribution of mu waves captured real time in the un-shielded room by active surface LEEG sensor was similar to that acquired in the shielded room of hospital through EEG data collection by an EEG instrument, and then offline analyses. Real-time mu rhythms obtained by the active surface LEEG sensor will be utilized to control a device or system via the BCI in real time.
    Date: 2005-01
    Relation: 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. 2005 Jan;7:5424-5426.
    Link to: http://dx.doi.org/10.1109/IEMBS.2005.1615709
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000238998404251
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=33846937310
    Appears in Collections:[Gin-Shin Chen] Conference Papers/Meeting Abstract
    [Chih-Cheng Lu(2000-2007)] Conference Papers/Meeting Abstract

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