Translation and rotation invariance of physiological signal in long-term custody

This paper discusses a difficult problem-the translation and rotation invariance of a physiological signal in long-term clinical custody. It presents a solution using high order neural networks with the advantage of large sample size. This thesis is feasible because a modern computer can undertake large amount of computation. Finally, this view was demonstrated by using the MIT arrhythmia ECG database as data samples.