Engineering aspects

Currently, our obviously underestimated estimates, by means of "Telecard" they give not less than 100 000 telemedicine consultations per year in Russia and Ukraine. Even if we assume that only one of hundreds transmitted electrocardiograms is really vital, and the probability of a correct decision on the provision of emergency assistance is 1/2, then not less than five hundred people a year do not give up the ghost or become disabled as a result of a timely remote diagnosis. Naturally, loss of the state decreases also - according to official data, about 15,000 USD per one person - a total of 15000х500=7.5 million cabbage annually.

In spite of the fact that some people, having read glossy ads of various firms, think that there are no problems in ECG recording, severe practice of post-soviet (and other as well) medical institutions reveal, sometimes-somewhere, the trends. Especially during Holter examinations. And they considerably hamper the medical analysis. What concerns radio monitoring systems and bedside monitors, the trend for them is especially unpleasant, as the analysis is real-time by definition. All the more the operator reacts to what he sees on the screen here and now. And when the curves are spread all over the screen or, even worse, have reached its boundaries, the situation becomes disgusting indeed.

In this paper we offer the substitution of basic QRS complex detection algorithm which is able to use the benefits of raised computational power. Implementation of an optimal detection / recognition method and replacement of AGC with Pearson correlator can dramatically lower the number of false heart beat detections during ECG analysis.

Classical spectral evaluation is widely used at electroencephalogram analysis. A method of spectral analysis is proposed, which makes it possible at implementation of any value to increase the frequency resolution of the method and lower the level of side lobes. В Preliminary results of EEG analysis are given in the illustrations.