METODO PARA DEDUCIR Y EVALUAR INFORMACIONES CARDIOVASCULARES A PARTIR DE CURVAS DE LA CORRIENTE CARDIACA, PARTICULARMENTE PARA APLICACIONES TELEMEDICAS.
Method for deriving and evaluating cardiovascular information curves of heart current, particularly for telemedical applications, wherein it is determined, with an ECG recorded for deriving data by a high resolution signal, first, one average value of the entire time of registration, and a standard deviation of the ECG signal, and in which the RR intervals are evaluated by means of a recognition algorithm and in which only the results obtained are recorded and / or recorded with to reduce the data by determining, for this, an FFT spectrum of the duration of the cardiac periods integrals F for the defined ranges surface of LF and HF frequency between 0.04 and 0.15 Hz and between 0, 15 and 0.4 Hz, respectively, and relating them to the normal media surface for spectral measurement figures for evaluation according to the following formula: ** (See formula) and wherein ** the following weighting STH2 square of the standard deviation, ie, the absolute heart rate variability, is obtained with the square of the mean heart rate \ overline {fH} ** (See formula) ** to assess the state cardiovascular regarding the influence of the autonomic nervous system and sympathetic and parasympathetic components and which are calculated by the weights of measured values MLF and MHF with the square of the mean heart rate \ overline {fH} how balance B sympatho-vagal varies for, thereby to quantify the percentage of sympathetic activity that occurs in the LF frequency range compared to the percentage of parasympathetic activity.Método para deducir y evaluar las informaciones cardiovasculares de las curvas de la corriente cardíaca, particularmente, para aplicaciones telemédicas, en el que se determina, con un ECG registrado para la deducción de datos, mediante una señal de alta resolución, en primer lugar, un valor medio de la totalidad del tiempo del registro, y una desviación estándar de la señal del ECG, y en el que se evalúan las distancias R-R mediante un algoritmo de reconocimiento y
