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- W2795001290 abstract "Electrolytes play an essential role in the regulation of the heart, and the electrocardiogram (ECG) can be a useful instrument for detecting metabolic disturbances. Hyperkalaemia, usually clinically silent, is a medical condition known for higher serum potassium levels and it is one of the causes of sudden cardiac deaths in chronic kidney disease patients. In order to develop a unobtrusive method capable of monitoring potassium changes remotely, our study investigated which ECG parameters are sensitive to fluctuations during the interdialytic period. Specifically, we evaluated 14 morphological and 5 model-based ECG features. Results show that T wave features: right slope, the ratio of the right slope and T wave peak amplitude, and lognormal fitting parameters show statistically significant differences if evaluated before and after haemodialysis." @default.
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- W2795001290 date "2017-10-01" @default.
- W2795001290 modified "2023-09-27" @default.
- W2795001290 title "Differences between model-based electrocardiogram T Wave features before and after haemodialysis" @default.
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- W2795001290 doi "https://doi.org/10.1109/biocas.2017.8325085" @default.
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