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The fetal heart rate estimation based on continuous ultrasonic Doppler data

Kret T., Kałużyński K.

Biocybernetics and Biomedical Engineering

2006

Vol. 26, no. 3

49-56

Two methods to compute the fetal heart rate based on the analysis of Doppler signals obtained using continuous wave ultrasound were studied. The first uses bandpass filtering, directional signal separation and computation of the autocorrelation coefficient of the envelope of a single directional Doppler signal. The other uses discrete wavelet decomposition and reconstruction of a single directional signal with Daubechies db 10 wavelet family, with subsequent computation of the autocorrelation coefficient of the envelope of the reconstructed signal details for various scales. The results indicate that the discrete wavelet decomposition method is a suitable tool for fetal heart rate determination. It results in a more consistent fetal heart rate trace than the bandpass filtering approach.

The computerised system for measurement of the intima-media thickness

Kwiatkowski J., Kwiatkowska W., Kawa K., Tabakow M.

Journal of Medical Informatics & Technologies

2000

Vol. 1

CS 31--39

The quickest developments of non-invasive medical diagnostic methods are observed. One of them is high-resolution ultrasonic imaging. It can demonstrate the layers of the arterial wall with a high degree of clarity. The paper deals with the short description of the computerised system for measurement of the intima-media thickness, which can be used for the evaluation of the vascular wall. The image transformations, which improve quality of the ultrasonography images during computerised medical evaluation, are presented. The measurement can be performed manually or semi-automatic. The system is based on Doppler-duplex ultrasonography system and IBM PC computer with frame grabber board. Measurement are performed off-line on the frozen images recorded on videotape although real-time images are also recorded to simplify the evaluation of the structure. The described system can be use for archival purposes as well for current medical diagnostics. The computer software is written in Visual C++ programming language under WINDOWS system.