{"title":"利用差分编码改进基于模型的心电压缩的压缩比","authors":"Z. Passand, M. Azarnoosh","doi":"10.1109/BIBMW.2011.6112502","DOIUrl":null,"url":null,"abstract":"This article proposes a technique to improve compression ratio for model-based ECG compression techniques. The proposed technique takes advantage of the quasi-periodic nature of ECG signals and uses differential coding to increase the compression ratio. It is shown that the proposed technique increase the compression ratio by a factor of about two compared to conventional compression ratio for model-based ECG compressions.","PeriodicalId":6345,"journal":{"name":"2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)","volume":"1 1","pages":"918-918"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improved compression ratio for model-based ECG compression using differential coding\",\"authors\":\"Z. Passand, M. Azarnoosh\",\"doi\":\"10.1109/BIBMW.2011.6112502\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article proposes a technique to improve compression ratio for model-based ECG compression techniques. The proposed technique takes advantage of the quasi-periodic nature of ECG signals and uses differential coding to increase the compression ratio. It is shown that the proposed technique increase the compression ratio by a factor of about two compared to conventional compression ratio for model-based ECG compressions.\",\"PeriodicalId\":6345,\"journal\":{\"name\":\"2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)\",\"volume\":\"1 1\",\"pages\":\"918-918\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIBMW.2011.6112502\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBMW.2011.6112502","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved compression ratio for model-based ECG compression using differential coding
This article proposes a technique to improve compression ratio for model-based ECG compression techniques. The proposed technique takes advantage of the quasi-periodic nature of ECG signals and uses differential coding to increase the compression ratio. It is shown that the proposed technique increase the compression ratio by a factor of about two compared to conventional compression ratio for model-based ECG compressions.
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