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Wyświetlanie 1-4 z 4
Tytuł:
Automated detection of fetal movements in Doppler ultrasound signals versus maternal perception
Autorzy:
Wróbel, J.
Kupka, T.
Horoba, K.
Matonia, A.
Roj, D.
Jeżewski, J.
Powiązania:
https://bibliotekanauki.pl/articles/333732.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
fetal movement activity
Doppler ultrasound signal
fetal heart rate
aktywność ruchowa płodu
sygnał USG Dopplera
tętno płodu
Opis:
Analysis of movement activity is important since it enables detection of nonreactive fetal heart rate recordings. The aim of the study was to develop an algorithm for automated detection of the fetal movement activity (actogram), based on analysis of the Doppler ultrasound signal, and to evaluate a reliability of the actogram as a source of information about the fetal movements. Bandpass filtering (20-80 Hz) was used to separate the actogram signal describing the fetal movement activity. Simultaneously there were recorded the markers of fetal movements perceived by mother, being the reference information. For the determination of the binary actogram, the authors proposed an algorithm in which the classification threshold was estimated at the beginning of each recording and was adaptively modified during its duration. The algorithm ensured detection of up to 89% of movement episodes corresponding to movements perceived by mother. At the same time almost as high number of episodes not related to the reference information was recognized. Obtained results revealed that the automated analysis of fetal movements is characterized by much higher sensitivity of movement episode detection compared to the maternal perception.
Źródło:
Journal of Medical Informatics & Technologies; 2014, 23; 43-50
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Reliability and quality of ultrasound measurements of fetal heart rate variability
Autorzy:
Jeżewski, J.
Wróbel, J.
Kupka, T.
Matonia, A.
Horoba, K.
Widera, M.
Powiązania:
https://bibliotekanauki.pl/articles/334011.pdf
Data publikacji:
2003
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
zmienność tętna płodu
USG metodą Dopplera
EKG płodu
fetal heart rate variability
Doppler ultrasound method
fetal electrocardiogram
Opis:
This work was aimed at assessment of usability of Doppler ultrasound method for the analysis of fetal heart rate variability at a level of single heart beats. The purpose of this study was to check if today fetal monitors provide the signal of accuracy comparable with an electrocardiography method. The virtual instrumentation software for measurement system and processing of acquired signals was implemented using LABVIEW environment. The results obtained reveal that accuracy of today monitors which use Doppler ultrasound technique is sufficient for visual analysis of the FHR traces. However, for the computerized analysis at a beat-to-beat level, this accuracy is below the acceptable value.
Źródło:
Journal of Medical Informatics & Technologies; 2003, 6; IT21-26
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Monitoring of fetal movements based on actogram signal analysis
Autorzy:
Kupka, T.
Matonia, A.
Wróbel, J.
Horoba, K.
Jeżewski, J.
Powiązania:
https://bibliotekanauki.pl/articles/333340.pdf
Data publikacji:
2004
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
USG Dopplera
aktogram
aktywność ruchowa płodu
tętno płodu
Doppler ultrasound
actogram
fetal movement activity
fetal heart rate
Opis:
At present, biophysical fetal monitoring relies mainly on evaluation of a fetal heart rate (FHR). Absence of the FHR variability indicates central nervous system depression associated with hypoxia. The analysis of fetal heart rate segments identified with the aid of information on fetal movement activity provides much better results than analysis of the whole signal. Automatic recording of the fetal movement activity in a form of actogram signal provided by new models of fetal monitors becomes very common. For evaluation of information content of the actogram signal, the measurement instrumentation has been developed. The examined group comprised 20 patients and the total time of recording was 10 hours. Correlation between movements observed by clinical experts on ultrasonographic image and actogram trace recorded by fetal monitor was analysed. Although for head, arms, legs and trunk movements just visual analysis let observe their correlation with actogram signal, but in case of breathing movement no correlation was noted. Depending on movement type the detection efficiency was in range from 54 % to 80 %.
Źródło:
Journal of Medical Informatics & Technologies; 2004, 8; MM119-128
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The influence of window size of autocorrelation function on fetal heart rate variability measurement using the Doppler ultrasound signal
Autorzy:
Roj, D.
Fuchs, T.
Przybyła, T.
Jeżewski, M.
Matonia, A.
Gacek, A.
Powiązania:
https://bibliotekanauki.pl/articles/333477.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
monitoring płodu
tętno płodu
USG Dopplera
funkcja autokorelacji
fetal monitoring
fetal heart rate
Doppler ultrasound
autocorrelation function
Opis:
Commonly used noninvasive fetal monitoring is based on fetal heart rate (FHR) variability analysis of the Doppler ultrasound signal coming from the mechanical activity of the fetal heart. Estimation of periodicity of acquired signals using the autocorrelation technique is very important. The determination of cardiac intervals using the Doppler signal is more difficult than in electrocardiography, where the R-waves are evident. We investigated the influence of the autocorrelation window size on the FHR variability analysis. The indices describing the FHR variability calculated for signals obtained using two different autocorrelation techniques with various window lengths were compared with the reference ones obtained from fetal electrocardiogram. The optimal window was a compromise between artifacts resistance and the averaging level of instantaneous variability.
Źródło:
Journal of Medical Informatics & Technologies; 2008, 12; 111-116
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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