Search of the short time effects of smoking on ECG signals

Today, it is a well known truth that the cigarette has terrible effects on human health. However, the researches on these effects are mostly investigated inside the boundaries of the medicine science. This work aims to investigate the short-term effects of the cigarette over the human in an engineering perspective and tries to find an analytical solution to detect the consumption of the cigarette. For this reason, in reference to the previous works, the effects of the cigarette over the Electrocardiogram (ECG) signal are taken into account. ECG signals are a certain type of biological signals which is the result of the electrical activities of the heart. In this work, the clustering of the features extracted from the ECG signals is implemented by using K-Means algorithm and it is observed that the results are hopefully good. By the improvement of this work, it will be possible to make an analytical, more than observational, comment on the short-term effects of the cigarette over the heart and human body accordingly.