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Toward Slow Wave of Stomach Using Power Spectrum Analysis and GMI Sensor
Mou L(缪磊); Xu BL(徐保磊); Qin SJ(秦书嘉); Wang BJ(王本金); Li HY(李洪谊); Miao L(缪磊)
Department机器人学研究室
Conference NameInternational Conference on Biological Engineering and Biomedical (BEAB)
Conference DateJAN 10-12, 2014
Conference PlaceYichang, PEOPLES R CHINA
Author of SourceShanghai Jiaotong Univ, Nankai Univ
Source Publication2014 INTERNATIONAL CONFERENCE ON BIOLOGICAL ENGINEERING AND BIOMEDICAL (BEAB 2014)
PublisherDESTECH PUBLICATIONS, INC
Publication PlaceLANCASTER
2014
Pages107-115
Indexed ByCPCI(ISTP)
WOS IDWOS:000337473500017
Contribution Rank1
ISBN978-1-60595-162-1
AbstractIn 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.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/15157
Collection机器人学研究室
Corresponding AuthorMiao L(缪磊)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.School of Mechanical Engineering & Automation, Northeastern University, Shenyang, China
Recommended Citation
GB/T 7714
Mou L,Xu BL,Qin SJ,et al. Toward Slow Wave of Stomach Using Power Spectrum Analysis and GMI Sensor[C]//Shanghai Jiaotong Univ, Nankai Univ. LANCASTER:DESTECH PUBLICATIONS, INC,2014:107-115.
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