{"title":"基于形态学鲁棒离散余弦变换的访问控制质量无损心电压缩","authors":"Neetika Soni, I. Saini, Butta Singh","doi":"10.1109/ICSCCC.2018.8703306","DOIUrl":null,"url":null,"abstract":"In the era of e-healthcare paradigm, the demand of storage memory has increased manifolds. In order to combat with the bourgeoning memory and bandwidth requirements, compression techniques are employed. In this paper, Discrete Cosine Transform based lossless ECG compression approach is proposed. The method exploits only the non-QRS regions of ECG signal for compression and hence avoids any distortion in its clinically significant features. Moreover, in this approach the chaotically selected DCT coefficients are employed for compression. Therefore at receiver, only the users having the correct key can decompress the signal. The proposed method is applied on all 48 records of MIT-BIH arrhythmia database of 2 mins duration with different compression rates and evaluated the performance in terms of PRD and CR. The comparison is made with the state of the art techniques in terms of quality score and found that the proposed method yields excellent results.","PeriodicalId":148491,"journal":{"name":"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Morphologically Robust Discrete Cosine Transform based Lossless ECG Compression with Access Control Quality\",\"authors\":\"Neetika Soni, I. Saini, Butta Singh\",\"doi\":\"10.1109/ICSCCC.2018.8703306\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the era of e-healthcare paradigm, the demand of storage memory has increased manifolds. In order to combat with the bourgeoning memory and bandwidth requirements, compression techniques are employed. In this paper, Discrete Cosine Transform based lossless ECG compression approach is proposed. The method exploits only the non-QRS regions of ECG signal for compression and hence avoids any distortion in its clinically significant features. Moreover, in this approach the chaotically selected DCT coefficients are employed for compression. Therefore at receiver, only the users having the correct key can decompress the signal. The proposed method is applied on all 48 records of MIT-BIH arrhythmia database of 2 mins duration with different compression rates and evaluated the performance in terms of PRD and CR. The comparison is made with the state of the art techniques in terms of quality score and found that the proposed method yields excellent results.\",\"PeriodicalId\":148491,\"journal\":{\"name\":\"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCCC.2018.8703306\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCCC.2018.8703306","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Morphologically Robust Discrete Cosine Transform based Lossless ECG Compression with Access Control Quality
In the era of e-healthcare paradigm, the demand of storage memory has increased manifolds. In order to combat with the bourgeoning memory and bandwidth requirements, compression techniques are employed. In this paper, Discrete Cosine Transform based lossless ECG compression approach is proposed. The method exploits only the non-QRS regions of ECG signal for compression and hence avoids any distortion in its clinically significant features. Moreover, in this approach the chaotically selected DCT coefficients are employed for compression. Therefore at receiver, only the users having the correct key can decompress the signal. The proposed method is applied on all 48 records of MIT-BIH arrhythmia database of 2 mins duration with different compression rates and evaluated the performance in terms of PRD and CR. The comparison is made with the state of the art techniques in terms of quality score and found that the proposed method yields excellent results.