The electrocardiogram or ECG signal is the principal record used for anomalies detection of the human heart. The ECG is an electrical signal with low amplitude and is composed for different waves form. ECG signal is acquired from human body surface using amplifier and filter analog circuits. But, some noise components not allows the detection or the waves form. Whereby, a filtering strategies and wave form detection algorithms are required in the ECG treatment. The detection of R wave from ECG signal is the most important reference for heart rate estimation and is the principal object in this paper.
This work the design and implementation of a digital system based on open hardware development board (Arduino) applied to heart rate estimation. Positive results are presented about digital filtering oriented to R wave detection and thresholding based on histogram calculation from ECG signal. Results from test using patient simulator with different heart rate values are shown and its error percentage.