Differences between model-based electrocardiogram T Wave features before and after haemodialysis

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.