Portable active surface Laplacian EEG sensor for real-time Mu rhythms detection

Gin Shin Chen, Chih Wei Chen, Ming-Shaung Ju, Chou-Ching Lin, Chih Cheng Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages5424-5426
Number of pages3
Publication statusPublished - 2005 Dec 1
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: 2005 Sep 12005 Sep 4

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period05-09-0105-09-04

Fingerprint

Electroencephalography
Sensors
Brain-Computer Interfaces
Brain computer interface
Computer-Assisted Signal Processing
Low noise amplifiers
Computer Systems
Signal-To-Noise Ratio
Digital signal processing
Electric Impedance
Gold
Noise
Signal to noise ratio
Electrodes
Hand
Specifications
Equipment and Supplies

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Chen, G. S., Chen, C. W., Ju, M-S., Lin, C-C., & Lu, C. C. (2005). Portable active surface Laplacian EEG sensor for real-time Mu rhythms detection. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 (pp. 5424-5426). [1615709] (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS).
Chen, Gin Shin ; Chen, Chih Wei ; Ju, Ming-Shaung ; Lin, Chou-Ching ; Lu, Chih Cheng. / Portable active surface Laplacian EEG sensor for real-time Mu rhythms detection. Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. 2005. pp. 5424-5426 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).
@inproceedings{019e57b56e1c49b799122dfcb81417d7,
title = "Portable active surface Laplacian EEG sensor for real-time Mu rhythms detection",
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.",
author = "Chen, {Gin Shin} and Chen, {Chih Wei} and Ming-Shaung Ju and Chou-Ching Lin and Lu, {Chih Cheng}",
year = "2005",
month = "12",
day = "1",
language = "English",
isbn = "0780387406",
series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
pages = "5424--5426",
booktitle = "Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005",

}

Chen, GS, Chen, CW, Ju, M-S, Lin, C-C & Lu, CC 2005, Portable active surface Laplacian EEG sensor for real-time Mu rhythms detection. in Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005., 1615709, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, vol. 7 VOLS, pp. 5424-5426, 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, Shanghai, China, 05-09-01.

Portable active surface Laplacian EEG sensor for real-time Mu rhythms detection. / Chen, Gin Shin; Chen, Chih Wei; Ju, Ming-Shaung; Lin, Chou-Ching; Lu, Chih Cheng.

Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. 2005. p. 5424-5426 1615709 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Portable active surface Laplacian EEG sensor for real-time Mu rhythms detection

AU - Chen, Gin Shin

AU - Chen, Chih Wei

AU - Ju, Ming-Shaung

AU - Lin, Chou-Ching

AU - Lu, Chih Cheng

PY - 2005/12/1

Y1 - 2005/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=33846937310&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33846937310&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:33846937310

SN - 0780387406

SN - 9780780387409

T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

SP - 5424

EP - 5426

BT - Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005

ER -

Chen GS, Chen CW, Ju M-S, Lin C-C, Lu CC. Portable active surface Laplacian EEG sensor for real-time Mu rhythms detection. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. 2005. p. 5424-5426. 1615709. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).