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Electrical impedance tomography(EIT) can produce functional images with conductivity distributions associated with physiological events such as cardiac and respiratory cycles. EIT has been proposed as a clinical imaging tool for the detection of stroke and breast cancer, pulmonary function monitoring, cardiac imaging and other clinical applications. However EIT still suffers from technical challenges such as the electrode interface, hardware limitations, lack of animal or human trials, and interpretation of conductivity variations in reconstructed images. We improved the KHU Mark2 EIT system by introducing an EIT electrode interface consisting of nano-web fabric electrodes and by adding a synchronized biosignal measurement system for gated conductivity imaging. ECG and respiration signals are collected to analyze the relationship between the changes in conductivity images and cardiac activity or respiration. The biosignal measurement system provides a trigger to the EIT system to commence imaging and the EIT system produces an output trigger. This EIT acquisition time trigger signal will also allow us to operate the EIT system synchronously with other clinical devices. This type of biosignal gated conductivity imaging enables capture of fast cardiac events and may also improve images and the signal-to-noise ratio (SNR) by using signal averaging methods at the same point in cardiac or respiration cycles. As an example we monitored the beat by beat cardiac-related change of conductivity in the EIT images obtained at a common state over multiple respiration cycles. We showed that the gated conductivity imaging method reveals cardiac perfusion changes in the heart region of the EIT images on a canine animal model. These changes appear to have the expected timing relationship to the ECG and ventilator settings that were used to control respiration. As EIT is radiation free and displays high timing resolution its ability to reveal perfusion changes may be of use in intensive care units for continuous monitoring of cardiopulmonary function.

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기사명 저자명 페이지 원문 목차
지원벡터기계를 이용한 출혈을 일으킨 흰쥐에서의 생존 예측 장경환, 최재림, 유태근, 권민경, 김덕원 pp.1-7

전산화단층영상을 이용한 복부 지방 계측법에서 호흡운동이 비만도 측정에 미치는 영향 성열훈 pp.8-14

Classification of mental states based on spatiospectral patterns of brain electrical activity Han-Jeong Hwang, Jeong-Hwan Lim, Chang-Hwan Im pp.15-24

청각을 이용한 시각 재현 시스템의 개발 김정훈, 김덕규, 원철호, 이종민, 이희중, 이나희, 윤수영 pp.25-31

탄성 영상법 개발을 위한 유연성 높은 초음파 시스템의 구현 김동인, 이수열, 조민형 pp.32-38

나노웹 섬유형 전극 인터페이스와 KHU Mark2 EIT 시스템을 이용한 생체신호 동기 도전율 영상법 김태의, 김현지, 위헌, 오동인, 우응제 pp.39-46

파킨슨성 완서증의 손가락 마주치기 속도와 크기에 대한 약물과 뇌심부자극의 효과 김지원, 권유리, 박상훈, 엄광문, 고성범, 장지완, 이혜미 pp.47-52

참고문헌 (23건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 L. A. Geddes, and L. E. Baker, “The specific resistance of biological material: a compendium of data for the biomedical engineer and physiologist,” Medical Engineering & Physics, vol. 5, no. 3, pp. 271-293, 1967. 미소장
2 The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz. 네이버 미소장
3 The dielectric properties of biological tissues: I. Literature survey. 네이버 미소장
4 S. Grimnes, and O. G. Martinsen, Bioimpedance and Bioelectricity Basics, 2nd Ed, Oxford, UK: Academic Press, 2008. 미소장
5 D. S. Holder, Electrical Impedance Tomography: Methods, History and Applications, Bristol, UK: Univ. Press, 2005 미소장
6 J. G. Webster, Electrical Impedance Tomography, Bristol, UK: Univ. Press, 1990 미소장
7 Electrical impedance tomography (EIT) in applications related to lung and ventilation: a review of experimental and clinical activities. 네이버 미소장
8 A review of electrical impedance techniques for breast cancer detection 네이버 미소장
9 J. Sola, A. Adler, A. Santos, G. Tusman, and F. S. Sipmann,“Non-invasive monitoring of central blood pressure by electricalimpedance tomography: first experimental evidence,”Med. Eng. Comput., vol. 49, no. 4, pp. 409-415, 2011. 미소장
10 A review of errors in multi-frequency EIT instrumentation. 네이버 미소장
11 B. H. Brown, “Electrical impedance tomography (EIT): a review,” J of Med. Eng. & Tech. vol.27, no. 3, pp. 97-108, 2003. 미소장
12 Dynamic separation of pulmonary and cardiac changes in electrical impedance tomography. 네이버 미소장
13 G. Hahn, J. Dittmar, A. Just, and G. Hellige, “Different approaches for quantifying ventilation distribution and lung tissue properties by functional EIT,” Physiol. Meas., vol. 31, no. 8, pp. 73-84 2010. 미소장
14 P. Yan, and S. Wang, “Estimation of Locating the Multi-Conductivity Distribution in Electrical Impedance Tomography Using ICA,” in Proc. Diagnostics and Treatment II, Beijing, China, Nov. 2004, vol. 5630, pp. 523-530, 2005. 미소장
15 J. H. Li, C. Joppek, and U. Faust, “Fast EIT data acquisition system with active electrodes and its application to cardiac imaging,” Physiol. Meas. vol. 17, no. 4, pp. A25-A32, 1996. 미소장
16 R. J. Sadleir, R. A. Fox, and V. F. Turner, “Inflatable belt for the application of electrode arrays,” Rev. Sci. Instrum. vol. 71, no. 2, pp. 530-535, 2000. 미소장
17 Development of prototype multi-channel digital EIT system with radially symmetric architecture 소장
18 Multi-Frequency Electrical Impedance Tomography System 소장
19 T. I. Oh, H. Wi, D. Y. Kim, P. J. Yoo, and E. J. Woo, “A fully parallel multi-frequency EIT system with flexible electrode configuration: KHU Mark2,” Physiol. Meas. vol. 32, no. 7, pp. 835-849, 2011. 미소장
20 R. D. Cook, G. J. Saulnier, D. G. Gisser, J. G. Goble, J. C.Newell, and D. Isaacson, “ACT3: a high-speed, high-precision electrical impedance tomography,” IEEE Trans. Biomed. Eng. vol. 41, no. 8, pp. 713-722, 1994. 미소장
21 Determination of stroke volume by means of electrical impedance tomography. 네이버 미소장
22 Textile-structured electrodes for electrocardiogram 네이버 미소장
23 S. Franco, Design with Operational Amplifiers and Analog Integrated Circuits 3rd. ed, NY, USA: McGraw-Hill Press, 2002. 미소장

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