On using prior knowledge in restoring the dependence from empirical medico-biological signals

Development of algorithms for automatic processing of empirical ECG signals for modeling the physician's analysis calls for restring the dependence with an allowance for the specifics in visual perception of signal plots. This is done in a range of smoothing cubic splynes by using prior empirical knowledge on the frequency properties of such splynes and the shape of the transfer function of a stationary digital filter incorporating a splyne.