Noise cancellation of electrocardiogram signal measured by wearable USN node

ECG (electrocardiogram) is a test that measure electrical activity of heart. ECG is acquired from sensor situated on USN (ubiquitous sensor network) node. The measured ECG contains noise and motion artifact that need to be removed for proper diagnosis. Motion artifact is important noise to reduce because its frequency spectrum is overlap to ECG signal and causes misinterpretation while diagnosis. This motion artifact can be reduced by using adaptive filter with reference signal. One of the advantages of our USN node is not only containing ECG sensor but also have tri-axial accelerometer sensor. These accelerometer signals are taken as reference signal for adaptive filtering of motion artifact. In this paper results are shown that is provided more clear and informative ECG signal.