{"title":"基于小波分析的发动机怠速多通道关键数据可视化","authors":"Toru Yamamoto, Seiichi Shin","doi":"10.1109/ICWAPR.2010.5576393","DOIUrl":null,"url":null,"abstract":"This paper presents an analysis and a visualization method of vital signals of a passenger, during engine idling. The idling signal is analyzed and suppressed in order to detect a pulse caused by heartbeats and make them visible by wavelet analysis. The measured vital signal is contaminated with an engine idling signal, and it is needed to be separated in a time-frequency band by using wavelet transformation. This paper also proposes a visualization method of 18 channel vital signals with wavelet analysis. An experiment result shows effectiveness of the proposing analysis and method.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Visualization of multi-cahnnel vital data at engine idling based on wavelet analysis\",\"authors\":\"Toru Yamamoto, Seiichi Shin\",\"doi\":\"10.1109/ICWAPR.2010.5576393\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an analysis and a visualization method of vital signals of a passenger, during engine idling. The idling signal is analyzed and suppressed in order to detect a pulse caused by heartbeats and make them visible by wavelet analysis. The measured vital signal is contaminated with an engine idling signal, and it is needed to be separated in a time-frequency band by using wavelet transformation. This paper also proposes a visualization method of 18 channel vital signals with wavelet analysis. An experiment result shows effectiveness of the proposing analysis and method.\",\"PeriodicalId\":219884,\"journal\":{\"name\":\"2010 International Conference on Wavelet Analysis and Pattern Recognition\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Wavelet Analysis and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWAPR.2010.5576393\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Wavelet Analysis and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWAPR.2010.5576393","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visualization of multi-cahnnel vital data at engine idling based on wavelet analysis
This paper presents an analysis and a visualization method of vital signals of a passenger, during engine idling. The idling signal is analyzed and suppressed in order to detect a pulse caused by heartbeats and make them visible by wavelet analysis. The measured vital signal is contaminated with an engine idling signal, and it is needed to be separated in a time-frequency band by using wavelet transformation. This paper also proposes a visualization method of 18 channel vital signals with wavelet analysis. An experiment result shows effectiveness of the proposing analysis and method.
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