國家衛生研究院 NHRI:Item 3990099045/4856
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    题名: Portable active surface Laplacian EEG sensor for real-time Mu rhythms detection
    其它题名: 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
    作者: Chen, GS;Chen, CW;Ju, MS;Lin, CC;Lu, CC
    贡献者: Division of Medical Engineering Research
    摘要: 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.
    日期: 2005-01
    關聯: 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
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