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- W4318969997 abstract "Potassium plays a vital role in the heart's normal functioning. Potassium homeostasis disorder can elevate the risk of heart failure, and acute treatment may not be tolerated in the long term. Hyperkalemia and cardiac failure are linked through a vicious cycle. In this study, the association of blood potassium level to heart failure has been scrutinized with the help of the BIDMC Congestive Heart Failure dataset. The dataset contains ECG recordings of 15 subjects of NYHA Class III-IV patients. Eleven of them were men between the ages of 22 and 71, while four were women between the ages of 54 and 63. T wave morphology of ECG recording can quantify the information of blood potassium level, and this concept is already well-validated. Here, in this work threshold for the amplitude of T was set to 10 mm of height, and the concept has been authenticated using the MIT-BIH Normal Sinus Rhythm database. Based on the T wave morphology, 12 out of 15 subjects of the BIDMS dataset were found to be hyperkalemic. There were two subjects which were hyperkalemic, whereas one subject did not exhibit a distinguishable T wave. There are around 90% f heart failure patients in the database are hyperkalemic, indicating a strong linkage of heart disease with potassium level. The proposed smart healthcare system would be integrated for hyperkalemia prediction through remote monitoring. The framework can be utilised to forecast the occurrence of hyperkalemia for CVD patients using recorded ECG." @default.
- W4318969997 created "2023-02-03" @default.
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- W4318969997 date "2022-12-01" @default.
- W4318969997 modified "2023-09-28" @default.
- W4318969997 title "iCardo 2.0: A Smart Healthcare Framework for Cardiovascular Disease Accurate Prediction by Using T-Wave Morphology of ECG" @default.
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- W4318969997 doi "https://doi.org/10.1109/ises54909.2022.00076" @default.
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