Our studies show that there is a subtle autonomic dysfunction in presymptomatic and early Huntington's disease which may be related to alteration in central autonomic network. These alterations could potentially present a useful biomarker in Huntington's disease.
B.04 Guest lecture
COBISS.SI-ID: 30723801The study shows basic features basic features of patients treated with hyperbaric oxygen (HBO2) in Slovenia from the start and the accessibility of this kind of treatment in Slovenia. The demand for this kind of treatment is greater than the accessibility to it. A new study to access actual requirements as well as cost-benefit of treatment with (HBO2) is needed.
F.22 Improvement to existing health/diagnostic methods/procedures
COBISS.SI-ID: 2974181The PhysioNet Challenge 2013 focused to develop accurate algorithms for locating QRS complexes and estimating the QT interval in noninvasive fetal ECG (FECG) signals obtained from noninvasive abdominal recordings in pregnant women. We upgraded our custom automated software used previously. To cope with signal having different frequency contents we derived and analyzed two sets of signals using two different bandpass filters. The mother ECG (MECG) cancellation was performed using P, QRS and T wave templates and with appropriate scaling and shifting of P and T waves due to QT and PQ variability. From the cancelled signal, true fetal beats were extracted with a FQRS filter assuming that the error variability due to deviations of detected beat intervals from the median RR interval should be minimal. By selecting the lead with the smallest error and interpolating missing beats we obtained the final fetal QRS positions. The accuracy of determination of FQRS positions of our algorithm was tested by comparing our derived FQRS sequences with the reference annotations for the learning test set of 75 recordings. For the PhysioNet 2013 Challenge on set B from we obtained an average score 181,2 for fetal HR estimation accuracy, score 10.92 for fetal inter-beat accuracy.
F.21 Development of new health/diagnostic methods/procedures
COBISS.SI-ID: 31207129The aim of this study was to enhance the ECG pre-processing modalities for beat-to-beat QT interval variability measurement based on template matching. The R-peak detection algorithm has been substituted and an efficient baseline removal algorithm has been implemented in existing computer software. To test performance we used simulated ECG data with fixed QT intervals featuring Gaussian noise, baseline wander and amplitude modulation and two alternative algorithms. We computed the standard deviation of beat-to-beat QT intervals as a marker of QT interval variability (QTV). Significantly a lower beat-to-beat QTV was found in the updated approach compared the original algorithm. In addition, the updated template matching computer software outperformed the previous version in discarding fewer beats. In conclusion, the updated ECG preprocessing algorithm is recommended for more accurate quantification of beat-to-beat QT interval variability.
F.21 Development of new health/diagnostic methods/procedures
COBISS.SI-ID: 31211737The report delas with the situation on drug abuse and overdoses in Slovenia. Health related problems and emergencies are discussed. Trends and guidelines for appropriate actions are proposed.
F.22 Improvement to existing health/diagnostic methods/procedures
COBISS.SI-ID: 3013861