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EN
Monitoring of contraction activity of uterine muscle is important diagnostic tool used both during pregnancy and labour. The strain of pregnant uterus exerted on maternal abdomen is measured via external tocography. However, limitation of this approach has caused a development of other technique – electrohysterography, which is based on recording an electrical uterine activity. The comparison between electrohysterography and tocography was made due to the possibility of the simultaneous recording of mechanical and electrical uterine muscle activity. The results obtained show that both methods demonstrate high agreement in relation to the number of contractions recognized as being consistent.
EN
Cardiotocographic monitoring based on automated analysis of the fetal heart rate (FHR) signal is widely used for fetal assessment. However, the conclusion generation system is still needed to improve the abnormal fetal outcome prediction. Classification of the signals according to the predicted fetal outcome by means of neural networks is presented in this paper. Multi-layer perceptron neural networks were learned through seventeen time-domain signal features extracted during computerized analysis of 749 traces from 103 patients. The analysis included estimation of the FHR baseline, detection of acceleration and deceleration patterns as well as measurement of the instantaneous FHR variability. All the traces were retrospectively verified by the real fetal outcome defined by newborn delivery data. Influence of numerical and categorical representation of the input signal features, different data sets during learning, and gestational age as additional information, were investigated. We achieved the best sensitivity and specificity for the neural networks fed with numerical input variables together with additional information on the gestational age in the categorical form.
EN
The paper presents bilogical and clinical background of monitoring of an uterine activity during a pregnancy. The concept of electrohysterography application for tocolysis controlling is also discussed.
EN
The system was designed for medical investigation beyond hospital unit. It can be applied in all places which are within the range of mobile phone network area. It shows the signal acquired from the cardiotocograph on the patient device screen and send all received data to the Clinical Surveillance Center (CSC). The data in CSC are analysed and presented on the medical doctor PC display. This system give possibility of permanent woman monitoring without hospitalisation. If medical doctor notes something suspicious, he can remotely take decision about medical intervention. Presented system of data acquisition and teletransmission fulfils the last standards of medicine, which expect more quickly exploration, better patient comfort and make communication with a medical doctor much easier.
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