The noise influence on determination dominant frequencies of EGG signal.

Electrogastrographic examination (EGG) can be considered as a noninvasive method for an investigation of a stomach slow wave propagation This paper presents a method for determining dominant frequencies. It also shows details of influence of a noise on dominant frequencies determination. The EGG signal is noninvasively captured by appropriately placed electrodes on the surface of the stomach. The typical range of frequency for EGG signal is from 0.015Hz to 0.15Hz. One of EGG signal analyzing method is based on a determination of dominant harmonic frequencies contained in the chosen segments of EGG signal. The dominant frequencies are used for calculation base parameters of the EGG signal.

The simultaneous recording and analysis both EGG and HRV signals.

This paper presents a method for synchronous recording and analyzing both the electrogastrographic signal (EGG) and the heart rate variability signal (HRV). The electrogastrographic examination can be considered as a noninvasive method for an investigation of a stomach slow wave propagation. The four channel signal are non-invasively captured by the appropriately placed electrodes on the surface of the stomach. The EGG and electrocardiographic (ECG) signals, recorded simultaneously by means of the same electrodes and an amplifier, are separated by the proper digital filtration. In our work the EGG and ECG analysis is limited to calculation the most frequently used parameters: the dominant frequency of the EGG (DF), and LF/HF ratio of the HRV power spectrum for the ECG. In this way it is possible to examine mutual interaction among EGG and HRV. This paper also depicts the preliminary results of a comparison of the some EGG and the HRV parameters e.g. dominant power distribution (DPD) and balance of low frequency and high frequency of HRV power spectrum.

An application of both principal dynamic modes (PDM) and statistics for rehabilitation estimation related to the patients after ischemic brain stroke.

Ischemic Brain Stroke is considered to be one of the most significant reason causing mortality of patients. During first 60 days after brain stroke some critical symptoms are localized. Eventual registration of physiological parameters or biomedical signals e.g. heart rate variability within that time results in extremely difficult interpretation, most likely at the certain border of commonly understand sense. Therefore proper rehabilitation of such patients associated with well estimated results is very important as significantly decreases their mortality and leaves them in the highest possible well being. Due to rather bad quality of registered signals the need of more sophisticated processing method is necessary. The paper presents application of PDM for decomposition of HRV signals spectrum and separate estimation of behavior of both sympathetic and parasympathetic nervous activity. Simple ANOVA test applied for properly prepared data proved the anticipated results concerning significant difference of certain parameters e.g. sympatho-vagal balance estimated within mentioned 60 days period.

[Digital goniometry "Spasmometr GC-2"]. / Goniometr cyfrowy "Spasmometr GC-2".

The review of modern application of goniometric assessment in rehabilitation of patients with movement organs system disorders is done by the authors. The construction and principle of operation of digital goniometer, applied to pendulum testing of lower extremities with pathologic changed muscle tone, are described. An electro-optical transducer transmits the digitized time-dependent function of an angle between the thigh and leg axes of subject via an interface to the special computer programme. The function is registered, some coefficients describing extremity motion in joint are determined and the patient is assigned to the proper rehabilitation group by the composed programme. Normal values of the pendulum test coefficients in the asymptomatic subjects are performed.