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Evaluation of the uncertainty type A of the random stationary signal component from its autocorrelated observations

Warsza Z. L., Dorozhovets M.

Measurement Automation Monitoring

2015

Vol. 61, No. 8

399--402

A proposal of evaluation of the uncertainty type A of the stationary random component of measured signal from its regularly sampled observations when they are auto-correlated is described. In the first step the regularly variable components of the signal are identified and removed from the raw sample data. Then upgreaded formulas for standard uncertainty type A of the sample and of the mean value are expressed with use the correction coefficients or the so-called "effective number" of observations. These quantities depend on number of observations and on the autocorrelation function of the sample cleaned from regular components. Two methods of finding and estimating the autocorrelation function for the sample data are also described. Some numerical examples are included.

Reconstruction of FHR series recorded via ultrasound - method validation using abdominal fetal electrocardiography

Kupka T., Horoba K., Roj D., Matonia A., Czabanski R., Jezewski M.

Journal of Medical Informatics & Technologies

2013

Vol. 22

135--141

Analysis of variability of the fetal heart rate (FHR) is very important for fetal wellbeing assessment. The beat-to-beat variability is described quantitatively by the indices originated from invasive fetal electrocardiography which provides the FHR signal in a form of time event series. Nowadays, monitoring instrumentation is based on Doppler ultrasound technology. The fetal monitors provide the output signal in a form of evenly spaced measurements. The goal of this work is to present a new method for the FHR signal processing, which enables extraction of time series of consecutive heartbeat intervals from the evenly repeated values. The proposed correction algorithm enables recognition and removal of the duplicated measurements. Reliable evaluation of the algorithm requires the reference event series, thus the FHR signals were obtained from abdominal fetal electrocardiograms to be used in this research study.