(HRV), artifact reduction in gastric signals and extraction of lower esophageal sphincter pressure in the gastro esophageal reflux disease. EMD is an emerging new technique for adaptively decomposing nonstationary signal in a sum of local oscillatory components

85 Abstract— The electrocardiogram (ECG) records the cardiac activity and it is extensively used for diagnosis of heart diseases. It is also an essential tool to allow monitoring patient sat home, thereby advancing telemedical applications. Even though these contributions are for different projects, the issue common to each is the use of ECG for remote monitoring and assistance under different telecommunication platforms. The transmission of ECG often introduces noise due to poor channel conditions. In this paper, we propose a new method for removing the baseline wander interferences based on Empirical Mode Decomposition (EMD). EMD is a relatively new, data-driven adaptive technique used to decompose ECG signals into a series of Intrinsic Mode Functions (IMFs).The baseline wander is mainly involved in special lower frequency IMFs. To evaluate the performance of the method, Clinic ECG signals are used. Results indicate that the method is powerful and useful in removing the baseline wander in ECG signal and does not distort the ECG signals.