Article(id=1308463115444712371, tenantId=1146029695717560320, journalId=1189918454225211397, issueId=1308463111573369723, articleNumber=null, orderNo=null, doi=10.20104/j.cnki.1674-6546.20240288, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=1727020800000, revisedDateStr=2024-09-23, acceptedDate=null, acceptedDateStr=null, onlineDate=1789891516790, onlineDateStr=2026-09-20, pubDate=1771084800000, pubDateStr=2026-02-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789891516790, onlineIssueDateStr=2026-09-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789891516790, creator=13701087609, updateTime=1789891516790, updator=13701087609, issue=Issue{id=1308463111573369723, tenantId=1146029695717560320, journalId=1189918454225211397, year='2026', volume='', issue='2', pageStart='1', pageEnd='48', issueExtLink='null', onlineDate='null', pubDate='1771084800000', pubDateStr='2026-02-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1789891515868, creator='13701087609', updateTime=1789892789105, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1308468452159672942, tenantId=1146029695717560320, journalId=1189918454225211397, issueId=1308463111573369723, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1308468452159672943, tenantId=1146029695717560320, journalId=1189918454225211397, issueId=1308463111573369723, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=41, endPage=48, ext={EN=ArticleExt(id=1308463115595707316, articleId=1308463115444712371, tenantId=1146029695717560320, journalId=1189918454225211397, language=EN, title=Research on Evaluation Method for Seat Massage Effect Based on Surface Electromyography (sEMG) Signals, columnId=null, journalTitle=Automotive Engineer, columnName=null, runingTitle=null, highlight=null, articleAbstract=

To improve the massage efficacy of electric vehicle massage seats, this paper proposes an evaluation method based on the analysis of time-frequency domain characteristics of surface Electromyography (sEMG) signals. Firstly electromyographic signals are collected from the trapezius, lower trapezius, latissimus dorsi and erector spinae muscles under three distinct states: comfort, fatigue, and massage, then those sEMG signals are preprocessed through filtering and normalization, followed by the extraction of Median Frequency (MDF) and Root Mean Square (RMS) features. Characteristic difference of the sEMG features among the three states (P<0.05) is compared, which confirms validity of the proposed evaluation method. Furthermore, the analysis of muscle relaxation across different muscle groups provides insights into the optimization of the mechanical massage structure.

, authors=Xianwen Liu, Dongqiang Li, Dongxu Huang, Xiangzheng Liu, Jietao Xie, Haibo Liu, authorsList=Xianwen Liu, Dongqiang Li, Dongxu Huang, Xiangzheng Liu, Jietao Xie, Haibo Liu, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1308463115981583285, articleId=1308463115444712371, tenantId=1146029695717560320, journalId=1189918454225211397, language=CN, title=基于表面肌电信号的座椅按摩效果评价方法研究, columnId=0, journalTitle=汽车工程师, columnName=, runingTitle=null, highlight=null, articleAbstract=

为提高电动汽车按摩座椅的按摩效果，通过分析表面肌电信号时频域特征变化情况，提出了一种按摩效果评价方法。分别记录了受试者舒适态、疲劳态和按摩态的斜方横肌、下斜方肌、背阔肌和竖脊肌的肌电数据；然后对肌电信号进行滤波和归一化预处理，最后提取中值频率（MDF）和均方根值（RMS）特征。通过比较3种状态下的肌电信号特征差异（P<0.05），证明了该评价方法的有效性，并通过不同部位肌肉缓解程度分析得到机械按摩结构的优化方向。

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