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We propose the calculation of the heart instantaneous frequency (HIF) from an estimate of the spectrogram of the weights obtained by LMS algorithm, when implemented as a spectrum analyzer. One knows that the electrocardiogram (ECG) is characterized for its repetitive regularity, that we can call quasiperiodicity. We explore this characteristic to extract the heart instantaneous frequency of the related signal. For this, we use the LMS as a spectrum analyzer. The algorithm estimates the desired frequency in real time, with the data acquisition performed by the Intel data interface 80C31. The obtained results shown that the algorithm can be recommended for this purpose, because the system is easily implementable, generates small computational load besides estimate the heart instantaneous frequency with an average relative error of 0.025, that represents a difference of 18.89% between the used methodology and wavelets transform (WT).

A compact and reduced cost signal generator with variable frequency is presented in this work. It is programmed through serial communication, with application in systems of real time training for hearing impaired people with vibrotactile feedback. This signal generator was developed in order to correct digitalization decurrent delays and voice signal processing in real time applications. By means of the generator use, one takes apart the action or signal generation, to be applied in the tactile or vibrotactile actuator, from the acquisition part and voice signal processing.