基于起始和偏移肌电活动检测的自适应线性能量检测器

2017 6th International Conference on Systems and Control (ICSC) Pub Date : 2017-05-07 DOI:10.1109/ICOSC.2017.7958651

H. Bengacemi, A. Mesloub, A. Ouldali, K. Abed-Meraim

{"title":"基于起始和偏移肌电活动检测的自适应线性能量检测器","authors":"H. Bengacemi, A. Mesloub, A. Ouldali, K. Abed-Meraim","doi":"10.1109/ICOSC.2017.7958651","DOIUrl":null,"url":null,"abstract":"This paper describes a new approach for detecting onset/offset electromyography activity. The proposed approach is based on energy analysis which has been widely used in Voice Activity Detection (VAD). A performance analysis has been carried out in order to get the appropriate frame length of EMG signal to adapt within our proposed method. Synthetic and Real EMG signals are used to illustrate us the performance of our proposed method.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Adaptive Linear Energy Detector based on onset and offset electromyography activity detection\",\"authors\":\"H. Bengacemi, A. Mesloub, A. Ouldali, K. Abed-Meraim\",\"doi\":\"10.1109/ICOSC.2017.7958651\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a new approach for detecting onset/offset electromyography activity. The proposed approach is based on energy analysis which has been widely used in Voice Activity Detection (VAD). A performance analysis has been carried out in order to get the appropriate frame length of EMG signal to adapt within our proposed method. Synthetic and Real EMG signals are used to illustrate us the performance of our proposed method.\",\"PeriodicalId\":113395,\"journal\":{\"name\":\"2017 6th International Conference on Systems and Control (ICSC)\",\"volume\":\"148 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 6th International Conference on Systems and Control (ICSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSC.2017.7958651\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th International Conference on Systems and Control (ICSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSC.2017.7958651","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

摘要

本文描述了一种检测起搏/偏移肌电活动的新方法。该方法基于能量分析，在语音活动检测(VAD)中得到广泛应用。为了得到合适的肌电信号帧长度，我们进行了性能分析，以适应我们提出的方法。用合成肌电信号和真实肌电信号来说明我们所提出的方法的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Adaptive Linear Energy Detector based on onset and offset electromyography activity detection

This paper describes a new approach for detecting onset/offset electromyography activity. The proposed approach is based on energy analysis which has been widely used in Voice Activity Detection (VAD). A performance analysis has been carried out in order to get the appropriate frame length of EMG signal to adapt within our proposed method. Synthetic and Real EMG signals are used to illustrate us the performance of our proposed method.

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

2017 6th International Conference on Systems and Control (ICSC)

自引率

0.00%

发文量