Abstract: An apparatus, a method, and a computer program for predicting a risk for a cardiac death are presented. Early repolarization patterns in leads of an electrocardiogram recorded from a subject are detected if an amplitude of a J-point at a QRS complex and ST segment junction of a lead exceeds a predetermined amplitude threshold. Amplitude patterns of ST segments in leads of the electrocardiogram are also determined. Finally, an elevated risk for a future cardiac death of the subject on the basis of a possible arrhythmia is predicted if early repolarization patterns are detected in at least two leads of the electrocardiogram, and if the ST segments in the at least two leads of the electrocardiogram are determined to have a horizontal or descending amplitude pattern.

Abstract: An apparatus, a method, and a computer program for predicting a risk for a cardiac death are presented. Early repolarization patterns in leads of an electrocardiogram recorded from a subject are detected if an amplitude of a J-point at a QRS complex and ST segment junction of a lead exceeds a predetermined amplitude threshold. Amplitude patterns of ST segments in leads of the electrocardiogram are also determined. Finally, an elevated risk for a future cardiac death of the subject on the basis of a possible arrhythmia is predicted if early repolarization patterns are detected in at least two leads of the electrocardiogram, and if the ST segments in the at least two leads of the electrocardiogram are determined to have a horizontal or descending amplitude pattern.

Abstract: Method and arrangement for obtaining diagnostic information of a patient, the method comprising the steps of carrying out heart rate measurements of the patient at least during two sleep stages before the operation to obtain preoperative heart rate data, carrying out measurements containing information related to the different stages of sleep that are synchronized with the heart rate measurements to obtain preoperative sleep stage data, and calculating a dynamic heart rate variability measures by utilizing non-linear analysis from heart rate data obtained and enabling comparison of the heart rate variability measure between at least two different stages of the sleep state.

Abstract: A method and an arrangement for predicting perioperative myocardial ischemia. Heart rate measurements are carried out for example at night- and day-time before the operation to obtain heart rate data. The heart rate data obtained is carried to a device configured to carry out heart rate variability analysis (HRV). Dynamic heart rate variability analysis is carried out by utilizing fractal analysis of the heart rate data and fractal correlation properties obtained from the measured heart rate data are examined to find considerable lowering of the fractal correlation properties during for example night-time when compared to day-time.

Abstract: A method and an arrangement for predicting perioperative myocardial ischemia. In the invention heart rate measurements are carried out for example at night- and day-time before the operation to obtain heart rate data. The heart rate data obtained is carried to a device configured to carry out heart rate variability analysis (HRV). Dynamic heart rate variability measures are carried out by utilizing fractal analysis from the heart rate data obtained and fractal correlation properties obtained from the heart rate data measured are examined to find considerable lowering of the fractal correlation properties during for example night-time when compared to day-time.