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The impact of stress caused by car driving on heart's activity has been extensively studied for over 60 years. In the present paper, we studied the influence of stress on drivers' heart rate. The algorithm was applied on electrocardiographic signals from 6 drivers, and the resulting heart rate variability parameters in the time domain were analyzed comparing those in normal conditions to those in...
In this work we investigate an image based algorithm as a reliablemethod to perceive the eye movement and offer new possibilities for the activity recognition. In order to test the effectiveness of the algorithm, the eye movement data was recorded using an electrooculography system. Different patterns of eye movement were analyzed within the conducted study. Three different lighting and three activities...
The respiratory rate is a vital parameter that can provide valuable information about the health condition of a patient. The extraction of respiratory information from photoplethysmographic signal (PPG) was actually encouraged by the reported results, our main goal being to obtain accurate respiratory rate estimation from the PPG signal. We developed a fusion algorithm that identifies the best derived...
The fetal heart rate (FHR) is a fundamental tool for clinical monitoring, when investigating the wellbeing of the fetus. The detection of the QRS complex of the fetal electrocardiogram using the abdominal signal enables the non-invasive evaluation of the FHR. There are many clinical causes for FHR variability, but a slight variance indicates a good evolution of the pregnancy. The current study evaluates...
The analysis of the fetal heart rate (fHR) is important in detecting the fetal distress related with hypoxic episodes, noticed sometimes during the uterine activity, which can severely affect the fetus. Occasional synchrony between the fHR and the maternal heart rate (mHR) was reported and the mHR shows some variations during pregnancy and labor, especially when the contractions are very strong. The...
The abdominal signal recorded on the abdomen of a pregnant woman allows the fECG extraction for a further analysis. The main problem when using the ADSs is that they contain not only the signals of interest but also some disturbing signals that influence the fECG extraction methods. This study proposes an adaptive algorithm that removes the main PLI frequency and its harmonics from the real and simulated...
Fetal monitoring using abdominally recorded signals (ADS) allows physicians to detect occurring changes in the well-being state of the fetus from the beginning of pregnancy. Mainly based on the fetal electrocardiogram (fECG), it provides the long-term fetal heart rate (fHR) and assessment of the fetal QRS morphology. But the fECG component in ADS is obscured by the maternal ECG (mECG), thus removal...
Detection and characterization of cancer tumors in mammograms is vital in daily clinical practice. The problem of detecting possible cancer areas is very complex due, on one hand, to the diversity in shape of the ill tissue and on the other hand to the poorly defined border between the healthy and the cancerous zone. Even though it has been studied for many years, there are still remaining challenges...
Abdominal signals (ADS) recorded from pregnant women represent an important tool for monitoring the fetal heart rate (FHR) variability and the well-being state of the fetus, mainly because it has the advantage of being noninvasive. Thus, no risk is given during recording either for the mother or for the fetus, but complex signal processing steps are necessary, mainly due to the presence of the maternal...
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