Toward Slow Wave of Stomach Using Power Spectrum Analysis and GMI Sensor
文献类型:会议论文
作者 | Mou L(缪磊)![]() ![]() ![]() ![]() ![]() ![]() |
出版日期 | 2014 |
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 |
页码 | 107-115 |
通讯作者 | 缪磊 |
中文摘要 | 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. |
收录类别 | CPCI(ISTP) |
产权排序 | 1 |
会议主办者 | Shanghai Jiaotong Univ, Nankai Univ |
会议录 | 2014 INTERNATIONAL CONFERENCE ON BIOLOGICAL ENGINEERING AND BIOMEDICAL (BEAB 2014)
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会议录出版者 | DESTECH PUBLICATIONS, INC |
会议录出版地 | LANCASTER |
语种 | 英语 |
ISBN号 | 978-1-60595-162-1 |
WOS记录号 | WOS:000337473500017 |
源URL | [http://ir.sia.cn/handle/173321/15157] ![]() |
专题 | 沈阳自动化研究所_机器人学研究室 |
通讯作者 | Miao L(缪磊) |
推荐引用方式 GB/T 7714 | Mou L,Xu BL,Qin SJ,et al. Toward Slow Wave of Stomach Using Power Spectrum Analysis and GMI Sensor[C]. 见:International Conference on Biological Engineering and Biomedical (BEAB). Yichang, PEOPLES R CHINA. JAN 10-12, 2014. |
入库方式: OAI收割
来源:沈阳自动化研究所
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