表面肌电信号测量中的低通滤波效应

Andreas E. Gygi, G. Moschytz
{"title":"表面肌电信号测量中的低通滤波效应","authors":"Andreas E. Gygi, G. Moschytz","doi":"10.1109/CBMS.1997.596431","DOIUrl":null,"url":null,"abstract":"Many publications and articles describe the electrical properties of muscular tissue. In these articles the terms \"low pass filter\" and \"purely resistive medium\" often occur in parallel. From the viewpoint of electrical engineering (namely from a network theoretic viewpoint) one would not expect that a purely resistive medium behaves as a low pass filter. Instead the existence of some capacitive and/or inductive elements would be expected. We present a network theoretic description of the low pass filter effect of muscular tissue. We use a descretized and simplified tissue model, e.g. a network of resistors. For this model the low pass characteristic of muscular tissue will be verified. The fundamental reason for the low pass characteristic of muscular tissue is the fact that electrical activity travels with some constant velocity along a given path (e.g. the muscle fibres) while the measurement of this activity is done at some fixed point. The independant variables \"time\" and \"space\" can be mapped onto each other. The low pass filter effect occurs in space domain.","PeriodicalId":292377,"journal":{"name":"Proceedings of Computer Based Medical Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Low-pass filter effect in the measurement of surface EMG\",\"authors\":\"Andreas E. Gygi, G. Moschytz\",\"doi\":\"10.1109/CBMS.1997.596431\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many publications and articles describe the electrical properties of muscular tissue. In these articles the terms \\\"low pass filter\\\" and \\\"purely resistive medium\\\" often occur in parallel. From the viewpoint of electrical engineering (namely from a network theoretic viewpoint) one would not expect that a purely resistive medium behaves as a low pass filter. Instead the existence of some capacitive and/or inductive elements would be expected. We present a network theoretic description of the low pass filter effect of muscular tissue. We use a descretized and simplified tissue model, e.g. a network of resistors. For this model the low pass characteristic of muscular tissue will be verified. The fundamental reason for the low pass characteristic of muscular tissue is the fact that electrical activity travels with some constant velocity along a given path (e.g. the muscle fibres) while the measurement of this activity is done at some fixed point. The independant variables \\\"time\\\" and \\\"space\\\" can be mapped onto each other. The low pass filter effect occurs in space domain.\",\"PeriodicalId\":292377,\"journal\":{\"name\":\"Proceedings of Computer Based Medical Systems\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Computer Based Medical Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CBMS.1997.596431\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Computer Based Medical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.1997.596431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

许多出版物和文章描述了肌肉组织的电特性。在这些文章中,术语“低通滤波器”和“纯电阻介质”经常并行出现。从电气工程的观点来看(即从网络理论的观点来看),人们不会期望纯电阻介质表现为低通滤波器。相反,一些电容和/或电感元件的存在将是预期的。我们提出了肌肉组织低通滤波效应的网络理论描述。我们使用去中心化和简化的组织模型,例如电阻网络。对于该模型,将验证肌肉组织的低通特性。肌肉组织的低通特性的根本原因是电活动沿着给定的路径(例如肌肉纤维)以恒定的速度传播,而这种活动的测量是在某个固定点进行的。自变量“时间”和“空间”可以相互映射。低通滤波效应发生在空间域。
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
Low-pass filter effect in the measurement of surface EMG
Many publications and articles describe the electrical properties of muscular tissue. In these articles the terms "low pass filter" and "purely resistive medium" often occur in parallel. From the viewpoint of electrical engineering (namely from a network theoretic viewpoint) one would not expect that a purely resistive medium behaves as a low pass filter. Instead the existence of some capacitive and/or inductive elements would be expected. We present a network theoretic description of the low pass filter effect of muscular tissue. We use a descretized and simplified tissue model, e.g. a network of resistors. For this model the low pass characteristic of muscular tissue will be verified. The fundamental reason for the low pass characteristic of muscular tissue is the fact that electrical activity travels with some constant velocity along a given path (e.g. the muscle fibres) while the measurement of this activity is done at some fixed point. The independant variables "time" and "space" can be mapped onto each other. The low pass filter effect occurs in space domain.
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
Computer aided ultrasound laboratory Diagnosis of sport injuries with machine learning: explanation of induced decisions Multichannel ECG measurement system Knowledge-based mechanical imaging Detection of human reflex response in EMG signals: a time-frequency approach
×
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