Abstract
Taiwan is known to have the greatest number of dialysis patients total compared to other countries. It is a urgent issue that we have to improve medical services and reduce medical cost. One recent successful research regarding dialysis comes from the Industrial Technology Research Institute (ITRI) in Taiwan, which has created a portable measuring device for vascular sounds (ITRI-PMDV). The device tries to measure whether a patient's vascular stenosis is within the safety levels required before any dialysis treatment. This research focuses on detect and classify vascular sounds collected via the above-mentioned ITRI-PMDV The proposed approach is based on a series of scientific procedures, including (1) Collect the dialysis patients of severe stenosis on AV-fistula. (2) Pre-processing the signal of vascular sounds. (3) applying independent component analysis (ICA) and so-called FastICA algorithm. (4) analyze the signals collected at arteriovenous anastomosis and venous. In this thesis, we get 3 results. (1) Computer is a main factor affect the vascular sound signal. (2) There is two type of severe stenosis of fistula. (3) Find indice called Cor-index and ICA-index which can detect stenosis on fistula.