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- W3018709037 abstract "Cardiovascular disease is a major health problem in every part of the world, causing increase in death rate. The noninvasive efficient diagnosis of heart is possible through the study of electrocardiogram (ECG) of the patient under observation. A single system is necessary to know about few diseases based upon ECG data of the person and other parameters. Here, a new technique has been proposed which will measure kidney and heart disease depending on creatinine and urea nitrogen levels. This technique will detect the diseases in prior to reach the severe condition of their health. The MIT-BIH database has been considered as a reference for ECG signals and MATLAB version 8.2 was used to display the results." @default.
- W3018709037 created "2020-05-01" @default.
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- W3018709037 date "2020-01-01" @default.
- W3018709037 modified "2023-09-23" @default.
- W3018709037 title "A System for Disease Identification Using ECG and Other Variables" @default.
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- W3018709037 doi "https://doi.org/10.1007/978-981-15-3172-9_47" @default.
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