Title :
Random processes statistic application for cardiosignals characteristics determination
Author :
Osuhivs´ka, Halina ; Kyslak, Ivanna
Author_Institution :
Dept. of Biotech., Ivan Puluj Ternopil Instrum. Making Inst., Ukraine
Abstract :
Statistical analysis may considerably increase the effectiveness of ECG diagnostic methods. The statistical data analysis allows: increase of the measurement accuracy by means of sampled data number increase; decrease of the external disturbances influence on the results of measurements; increase of the information content by giving the results of investigations in a convenient and clear form; the main ECG statistic characteristics calculations to be carried out; the measuring errors to be estimated; extrapolation, interpolation, and prediction methods to be used on the ECG data; and computer use for automated calculations
Keywords :
electrocardiography; extrapolation; interpolation; measurement errors; medical signal processing; prediction theory; statistical analysis; ECG diagnostic methods; automated calculations; cardiosignals characteristics determination; computer use; external disturbances influence; extrapolation; information content; interpolation; measurement accuracy; measuring errors; prediction method; random processes statistic application; sampled data number increase; statistical analysis; Cardiology; Computer errors; Data analysis; Electrocardiography; Error analysis; Extrapolation; Interpolation; Random processes; Statistical analysis; Statistics;
Conference_Titel :
Mathematical Methods in Electromagnetic Theory, 1996., 6th International Conference on
Conference_Location :
Lviv
Print_ISBN :
0-7803-3291-1
DOI :
10.1109/MMET.1996.565708
