{"title":"心电图隐写术在电子医疗保健系统中保护患者数据","authors":"Dolly Meghani, S. Geetha","doi":"10.1145/2909067.2909078","DOIUrl":null,"url":null,"abstract":"E-healthcare systems are rapidly gaining importance with the evolution of remote monitoring devices for patient diagnosis. While transmitting patient classified information, it is essential to ensure that patient confidentiality is maintained. ECG signals are used as a medium to mask the patient's confidential data. ECG steganography is achieved by using Discrete Wavelet Transform along with Singular Value Decomposition. To assure that minimal distortion is reported after embedding the data, two distortion metrics namely, Percentage Residual Difference and Bit Error Rate are used. The proposal is implemented on MIT-BIH database and it has been observed that the proposed approach offers minimum distortion hence retaining the authenticity of the original signal.","PeriodicalId":371590,"journal":{"name":"Women In Research","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"ECG Steganography to secure patient data in an E-Healthcare System\",\"authors\":\"Dolly Meghani, S. Geetha\",\"doi\":\"10.1145/2909067.2909078\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"E-healthcare systems are rapidly gaining importance with the evolution of remote monitoring devices for patient diagnosis. While transmitting patient classified information, it is essential to ensure that patient confidentiality is maintained. ECG signals are used as a medium to mask the patient's confidential data. ECG steganography is achieved by using Discrete Wavelet Transform along with Singular Value Decomposition. To assure that minimal distortion is reported after embedding the data, two distortion metrics namely, Percentage Residual Difference and Bit Error Rate are used. The proposal is implemented on MIT-BIH database and it has been observed that the proposed approach offers minimum distortion hence retaining the authenticity of the original signal.\",\"PeriodicalId\":371590,\"journal\":{\"name\":\"Women In Research\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Women In Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2909067.2909078\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Women In Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2909067.2909078","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ECG Steganography to secure patient data in an E-Healthcare System
E-healthcare systems are rapidly gaining importance with the evolution of remote monitoring devices for patient diagnosis. While transmitting patient classified information, it is essential to ensure that patient confidentiality is maintained. ECG signals are used as a medium to mask the patient's confidential data. ECG steganography is achieved by using Discrete Wavelet Transform along with Singular Value Decomposition. To assure that minimal distortion is reported after embedding the data, two distortion metrics namely, Percentage Residual Difference and Bit Error Rate are used. The proposal is implemented on MIT-BIH database and it has been observed that the proposed approach offers minimum distortion hence retaining the authenticity of the original signal.