The extraction of the new components from electrogastrogram (EGG), using both adaptive filtering and electrocardiographic (ECG) derived respiration signal

Electrogastrographic examination (EGG) is a noninvasive method for an investigation of a stomach slow wave propagation. The typical range of frequency for EGG signal is from 0.015 to 0.15 Hz or (0.015–0.3 Hz) and the signal usually is captured with sampling frequency not exceeding 4 Hz. In this paper a new approach of method for recording the EGG signals with high sampling frequency (200 Hz) is proposed. High sampling frequency allows collection of signal, which includes not only EGG component but also signal from other organs of the digestive system such as the duodenum, colon as well as signal connected with respiratory movements and finally electrocardiographic signal (ECG). The presented method allows improve the quality of analysis of EGG signals by better suppress respiratory disturbance and extract new components from high sampling electrogastrographic signals (HSEGG) obtained from abdomen surface. The source of the required new signal components can be inner organs such as the duodenum and colon. One of the main problems that appear during analysis the EGG signals and extracting signal components from inner organs is how to suppress the respiratory components. In this work an adaptive filtering method that requires a reference signal is proposed.Electrogastrographic examination (EGG) is a noninvasive method for an investigation of a stomach slow wave propagation. The typical range of frequency for EGG signal is from 0.015 to 0.15 Hz or (0.015–0.3 Hz) and the signal usually is captured with sampling frequency not exceeding 4 Hz. In this paper a new approach of method for recording the EGG signals with high sampling frequency (200 Hz) is proposed. High sampling frequency allows collection of signal, which includes not only EGG component but also signal from other organs of the digestive system such as the duodenum, colon as well as signal connected with respiratory movements and finally electrocardiographic signal (ECG). The presented method allows improve the quality of analysis of EGG signals by better suppress respiratory disturbance and extract new components from high sampling electrogastrographic signals (HSEGG) obtained from abdomen surface. The source of the required new signal components can be inner organs such as the duodenum and colon. One of the main problems that appear during analysis the EGG signals and extracting signal components from inner organs is how to suppress the respiratory components. In this work an adaptive filtering method that requires a reference signal is proposed

Budżetowanie działalności jednostek gospodarczych Teoria i praktyka. Część V

Z wprowadzenia: "Przekazujemy do rąk Czytelników część monografii dotyczącej budżetowania jednostek gospodarczych. Jej przygotowanie zbiegło się z ukazaniem się manifestu Precz z budżetami Jeremiego Норе’а i Robina Frasera. Autorzy poddają tam ostrej krytyce dotychczasowe praktyki stosowania budżetowania kosztowego. Stąd niniejsza publikacja - między innymi - dlatego różni się istotnie od poprzednich. Od pewnego czasu - także w Polsce - pojawiały się głosy wskazujące na istotne niedoskonałości budżetowania kosztowego, na przykład J. Gierusz [Materiały konferencyjne 2001], G. H. Świderska [Rachunkowośćzarządcza i rachunek kosztów, 2002]. Nie odnosiły one jednak skutku. Nie zauważono też dotąd narastającej listy zarzutów wytaczanych przeciw finansowym jednostkom miary stosowanym w budżetowaniu kosztowym, na przykład G. K. Świderska [jak wyżej], M. Sierpińska, B. Niedbała [Controllingoperacyjny wpnedsiębiorstwie, 2003]. Bez echa pozostało postawione przez autora pytanie: „zmierzch czy rozwój budżetowania?” [„Controlling i rachunkowość zarządcza” 9/2002], gdzie jednoznacznie wskazano, że budżetowanie kosztowe obejmuje jedynie jedną sferę działalności przedsiębiorstwa i tym samym nie może stanowić wystarczającej podstawy do sterowania przedsiębiorstwem. Zwolennicy budżetowania kosztowego nawet zgadzali się ze stawianymi zarzutami, jednak nie reagowali na propozycje zmian w filozofii i metodologii budżetowania."(...

Information and Statistical Efforts of Selected Safety Network Institutions in the Area of Financial System Stability

Financial system stability is considered a public good. The main role of the financial safety network is to stabilise the system. Information and statistical activities of institutions which belong to the safety network are the tools which may improve the stability. We need to stress that most decisions are based on information, in particular decisions on investment or speculation, hence by providing information and statistical data these institutions indirectly enhance the overall stability of the system. An overview and analysis of selected studies addressing financial system stability helped the authors draw theoret- ical and practical conclusions as to the stability itself and the impact of information and statistics upon its improvement