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题名: Toward Slow Wave of Stomach Using Power Spectrum Analysis and GMI Sensor
作者: Mou L(缪磊) ; Xu BL(徐保磊) ; Qin SJ(秦书嘉) ; Wang BJ(王本金) ; Li HY(李洪谊)
作者部门: 机器人学研究室
会议名称: International Conference on Biological Engineering and Biomedical (BEAB)
会议日期: JAN 10-12, 2014
会议地点: Yichang, PEOPLES R CHINA
会议主办者: Shanghai Jiaotong Univ, Nankai Univ
会议录: 2014 INTERNATIONAL CONFERENCE ON BIOLOGICAL ENGINEERING AND BIOMEDICAL (BEAB 2014)
会议录出版者: DESTECH PUBLICATIONS, INC
会议录出版地: LANCASTER
出版日期: 2014
页码: 107-115
收录类别: CPCI(ISTP)
ISBN号: 978-1-60595-162-1
摘要: In this paper, we apply a new method to access gastric slow wave through magnetic approach, which can be used to validate gastric motility. The magnetogastrogram (MGG) signals are acquired by two Magnetoimpedance (GMI) sensors at two locations on the skin beside the stomach simultaneously at a sampling frequency of 1000Hz. GMI sensor is reinvented quite recently that largevariation of AC impedance with applied magnetic fieldcan be observed also in the conventional softmagnetic metals such as Mo-permalloy wires or mumetal strips, which is widely used in biotechnology fields. The two channel data are preprocessed by low-pass filter at a cut-off frequency of 5Hz and down-sampled at a sampling frequency of 10Hz. The preprocessed data are then processed using fastICA algorithm to extract real MGG signal from noise signal, and the spectrum of the two components are get by multiple signal classification (MUSIC) method. The results show that the MGG slow wave's peak can be found in one of the components spectrum, which means that the GMI sensor is available to reflect gastric slow wave.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/15157
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
缪磊; 徐保磊; 秦书嘉; 王本金; 李洪谊.Toward Slow Wave of Stomach Using Power Spectrum Analysis and GMI Sensor.见:DESTECH PUBLICATIONS, INC.2014 INTERNATIONAL CONFERENCE ON BIOLOGICAL ENGINEERING AND BIOMEDICAL (BEAB 2014),LANCASTER,2014,107-115
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文件名: Toward Slow Wave of Stomach Using Power Spectrum Analysis and GMI Sensor.pdf
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