1. Differences between model-based electrocardiogram T Wave features before and after haemodialysis
- Author
-
Ana Santos Rodrigues, I. Stramaityte, Saulius Daukantas, Vaidotas Marozas, Inga Arune Bumblyte, Neda Kusleikaite-Pere, and Eleni Kaldoudi
- Subjects
medicine.medical_specialty ,Electrocardiogram T wave ,medicine.diagnostic_test ,business.industry ,030232 urology & nephrology ,030204 cardiovascular system & hematology ,medicine.disease ,03 medical and health sciences ,0302 clinical medicine ,Serum potassium ,Internal medicine ,Cardiology ,medicine ,business ,Electrocardiography ,Cardiac deaths ,Kidney disease - 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.
- Published
- 2017