基于模糊逻辑的多功能上肢假肢分类

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI:10.1109/TIPTEKNO.2016.7863125

M. S. Çelik, Ilyas Eminoglu

{"title":"基于模糊逻辑的多功能上肢假肢分类","authors":"M. S. Çelik, Ilyas Eminoglu","doi":"10.1109/TIPTEKNO.2016.7863125","DOIUrl":null,"url":null,"abstract":"This paper investigate a fuzzy logic based high performance surface EMG classification algorithm for multifunctional upper limb prostheses. In this paper, we record 4 channels EMG data with surface electrodes from the forearm and aimed to recognize 8 different upper limb movements using heuristic fuzzy logic methods from these data. We use 50 surface EMG data for every function and evaluate the performance of this method.","PeriodicalId":431660,"journal":{"name":"2016 Medical Technologies National Congress (TIPTEKNO)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Fuzzy logic based classification for multifunctional upper limb prostheses\",\"authors\":\"M. S. Çelik, Ilyas Eminoglu\",\"doi\":\"10.1109/TIPTEKNO.2016.7863125\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigate a fuzzy logic based high performance surface EMG classification algorithm for multifunctional upper limb prostheses. In this paper, we record 4 channels EMG data with surface electrodes from the forearm and aimed to recognize 8 different upper limb movements using heuristic fuzzy logic methods from these data. We use 50 surface EMG data for every function and evaluate the performance of this method.\",\"PeriodicalId\":431660,\"journal\":{\"name\":\"2016 Medical Technologies National Congress (TIPTEKNO)\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Medical Technologies National Congress (TIPTEKNO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TIPTEKNO.2016.7863125\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Medical Technologies National Congress (TIPTEKNO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TIPTEKNO.2016.7863125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

研究了一种基于模糊逻辑的高性能上肢假体表面肌电信号分类算法。在本文中，我们用前臂表面电极记录了4通道肌电图数据，目的是利用这些数据利用启发式模糊逻辑方法识别8种不同的上肢运动。我们对每个功能使用50个表面肌电信号数据，并评估该方法的性能。

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

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Fuzzy logic based classification for multifunctional upper limb prostheses

This paper investigate a fuzzy logic based high performance surface EMG classification algorithm for multifunctional upper limb prostheses. In this paper, we record 4 channels EMG data with surface electrodes from the forearm and aimed to recognize 8 different upper limb movements using heuristic fuzzy logic methods from these data. We use 50 surface EMG data for every function and evaluate the performance of this 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

2016 Medical Technologies National Congress (TIPTEKNO)

自引率

0.00%

发文量