4×4 EHG信号对子宫收缩分类的重要研究综述

T. Athira, P ShanibaAsmi
{"title":"4×4 EHG信号对子宫收缩分类的重要研究综述","authors":"T. Athira, P ShanibaAsmi","doi":"10.23883/ijrter.2019.5058.vrpgp","DOIUrl":null,"url":null,"abstract":"Pregnancy monitoring is the most important challenge during gestation period. Some early deliveries cause mortality and morbidity of the new born babies. Electrohysterogram is the most promising method for monitoring the uterine contraction thus the physiological wellbeing of the foetal and the mother. As it is a non-invasive method there are no side effects and its accuracy for early diagnosis is more. There are different numbers of electrodes used to collect the signals from the mother’s abdomen by placing electrodes on the abdomen. Through this paper we are focusing on different researches used for pregnancy monitoring using 16 electrode database. Based on the studies this paper provides different steps in electrohysterogram data processing such as preprocessing, feature extraction, classifiers for classifying pregnancy and labour contraction. Keywords-Uterine contraction, Electrohysterogram, 16 electrode database, preprocessing, feature extraction, classifiers","PeriodicalId":143099,"journal":{"name":"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Review of Significant Researches on 4×4 EHG Signal for Classifying Uterine Contraction\",\"authors\":\"T. Athira, P ShanibaAsmi\",\"doi\":\"10.23883/ijrter.2019.5058.vrpgp\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pregnancy monitoring is the most important challenge during gestation period. Some early deliveries cause mortality and morbidity of the new born babies. Electrohysterogram is the most promising method for monitoring the uterine contraction thus the physiological wellbeing of the foetal and the mother. As it is a non-invasive method there are no side effects and its accuracy for early diagnosis is more. There are different numbers of electrodes used to collect the signals from the mother’s abdomen by placing electrodes on the abdomen. Through this paper we are focusing on different researches used for pregnancy monitoring using 16 electrode database. Based on the studies this paper provides different steps in electrohysterogram data processing such as preprocessing, feature extraction, classifiers for classifying pregnancy and labour contraction. Keywords-Uterine contraction, Electrohysterogram, 16 electrode database, preprocessing, feature extraction, classifiers\",\"PeriodicalId\":143099,\"journal\":{\"name\":\"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23883/ijrter.2019.5058.vrpgp\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23883/ijrter.2019.5058.vrpgp","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

妊娠监测是妊娠期最重要的挑战。有些早产会导致新生儿死亡和发病。宫电图是最有前途的方法来监测子宫收缩,从而胎儿和母亲的生理健康。由于它是一种无创的方法,没有副作用,早期诊断的准确性更高。有不同数量的电极被用来收集来自母亲腹部的信号,通过在腹部放置电极。本文重点介绍了16个电极数据库用于妊娠监测的不同研究。在此基础上,提出了宫电图数据处理的预处理、特征提取、分类器对妊娠和宫缩进行分类等步骤。关键词:子宫收缩,宫电图,16电极数据库,预处理,特征提取,分类器
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Review of Significant Researches on 4×4 EHG Signal for Classifying Uterine Contraction
Pregnancy monitoring is the most important challenge during gestation period. Some early deliveries cause mortality and morbidity of the new born babies. Electrohysterogram is the most promising method for monitoring the uterine contraction thus the physiological wellbeing of the foetal and the mother. As it is a non-invasive method there are no side effects and its accuracy for early diagnosis is more. There are different numbers of electrodes used to collect the signals from the mother’s abdomen by placing electrodes on the abdomen. Through this paper we are focusing on different researches used for pregnancy monitoring using 16 electrode database. Based on the studies this paper provides different steps in electrohysterogram data processing such as preprocessing, feature extraction, classifiers for classifying pregnancy and labour contraction. Keywords-Uterine contraction, Electrohysterogram, 16 electrode database, preprocessing, feature extraction, classifiers
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Transducers Effect of powder mixed dielectric on Surface properties in Electric Discharge Machining PERFORMANCE EVALUATION OF SINGLE PHASE LPG BASED GENERATOR SET USED FOR ELECTRICITY GENERATION REQUIRED FOR DOMESTIC APPLICATION IMPLEMENTATION of DSL for WEB SCRAPING RECOMMENDATION OF SENSOR BASED SMART DUSTBINS USING IOT
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1