{"title":"Embedding ECG and patient information in medical image","authors":"C. Nagaraju, S. Parthasarathy","doi":"10.1109/ICRAIE.2014.6909299","DOIUrl":null,"url":null,"abstract":"For the transmission, storage or telemedicine applications patient information is embedded inside the medical images. The purpose of data hiding in medical image is to embed the patient information in the host medical image without perceptually distorting it. This paper proposes a novel approach in embedding Patient information and Electrocardiogram (Patient Data) which is encrypted to ensure greater security in spatial domain. Statistical parameters such as Normalized Root Mean Square Error and Peak Signal to Noise Ratio are used to measure the quality of the medical image with patient data. Experimental results strongly indicate that the present technique is found to be robust and embedded patient data is recoverable without any distortion even in the case of attack like Gaussian noise.","PeriodicalId":355706,"journal":{"name":"International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRAIE.2014.6909299","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
For the transmission, storage or telemedicine applications patient information is embedded inside the medical images. The purpose of data hiding in medical image is to embed the patient information in the host medical image without perceptually distorting it. This paper proposes a novel approach in embedding Patient information and Electrocardiogram (Patient Data) which is encrypted to ensure greater security in spatial domain. Statistical parameters such as Normalized Root Mean Square Error and Peak Signal to Noise Ratio are used to measure the quality of the medical image with patient data. Experimental results strongly indicate that the present technique is found to be robust and embedded patient data is recoverable without any distortion even in the case of attack like Gaussian noise.