Title :
Translation and rotation invariance of physiological signal in long-term custody
Author :
Zhang, Ying ; Liu, WeiFang ; Li, Ying ; Liu, XiuLan ; Ouyang, Kai
Author_Institution :
Coll. of Electr. Eng. & Control, Beijing Polytech. Univ., China
Abstract :
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.
Keywords :
electrocardiography; medical signal processing; neural nets; MIT arrhythmia ECG database; clinical monitors; data samples; difficult clinical engineering problem; electrodiagnostics; high order neural networks; large sample size; long-term clinical study; long-term physiological signals; push-pull amplifiers; zero-point drift; Artificial neural networks; Biomedical engineering; Biomedical monitoring; Biomedical signal processing; Databases; Electrocardiography; Neural networks; Neurons; Signal processing; Signal resolution;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1134477
