中国科学院沈阳自动化研究所机构知识库
Advanced  
SIA OpenIR  > 机器人学研究室  > 专利
专利名称: 基于特征谱的胃磁慢波信号频率检测方法
其他题名: Gastric magnetic slow wave signal frequency detection method based on characteristic spectrum
作者: 缪磊; 徐保磊; 秦书嘉; 李洪谊
所属部门: 机器人学研究室
专利权人: 中国科学院沈阳自动化研究所
专利代理: 沈阳科苑专利商标代理有限公司 21002
专利国别: 中国
专利类型: 发明
专利状态: 公开
摘要: 本发明为一种基于特征谱的胃磁慢波信号频率检测方法,包括:数据预处理,读取巨磁阻抗传感器在特表测量到的原始胃磁数据,并对原始胃磁数据进行重新采样和滤波处理;特征谱计算,计算所述滤波处理后的数据的特征谱;特征谱主峰识别,对上述特征谱进行主峰识别。本发明为面向胃磁慢波信号的频率识别算法的设计,使用了频率估计的噪声子空间的特征谱方法,能精确得到胃磁慢波的频率。通过对胃磁慢波信号频率的精确识别,能精确给出胃磁慢波信号的平均特征谱图。
英文摘要: The invention discloses a gastric magnetic slow wave signal frequency detection method based on characteristic spectrum. The detection method comprises the following steps: data preprocessing: reading original gastric magnetic data of a giant magneto-impedance sensor measured by a special table, and re-sampling and filtering the original gastric magnetic data; characteristic spectrum calculation: calculating the characteristic spectrum of data obtained from filtering treatment; and characteristic spectrum main peak recognition: recognizing main peak of the characteristic spectrum. The detection method disclosed by the invention is designed in accordance wit the frequency recognition algorithm of the gastric magnetic slow wave signal and makes use of the characteristic spectrum of a frequency estimation noise sub-space, so as to precisely obtain the frequency of the gastric magnetic slow wave. The detection method, by precisely recognizing the gastric magnetic slow wave signal frequency, can obtain the average characteristic spectrogram of the gastric magnetic slow wave signal precisely. 
是否PCT专利:
申请日期: 2014-05-16
公开日期: 2015-11-25
专利申请号: CN201410209406.0
公布/公告号: CN105078442A
语种: 中文
产权排序: 1
内容类型: 专利
URI标识: http://ir.sia.cn/handle/173321/17297
Appears in Collections:机器人学研究室_专利

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
CN201410209406.0.pdf(905KB)专利--开放获取View Download

Recommended Citation:
缪磊,徐保磊,秦书嘉,等. 基于特征谱的胃磁慢波信号频率检测方法. CN105078442A. 2015.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[缪磊]'s Articles
[徐保磊]'s Articles
[秦书嘉]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[缪磊]‘s Articles
[徐保磊]‘s Articles
[秦书嘉]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: CN201410209406.0.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2016  中国科学院沈阳自动化研究所 - Feedback
Powered by CSpace