Ubeyli Elif Derya
TOBB Economics and Technology University, Faculty of Engineering, Department of Electrical and Electronics Engineering, 06530 Söğütözü, Ankara, Turkey.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:43-6. doi: 10.1109/IEMBS.2009.5335072.
The paper includes illustrative and detailed information about implementation of automated diagnostic systems and feature extraction/selection from signals recorded from ophthalmic arteries. The major objective of the paper is to be a guide for the readers, who want to develop an automated diagnostic systems for detection of arterial disorders. Toward achieving this objective, this paper present the techniques which should be considered in developing automated diagnostic systems. The paper will assist to the people in gaining a better understanding of the techniques in the detection of arterial disorders.
本文包含了关于自动诊断系统的实施以及从眼动脉记录的信号中进行特征提取/选择的说明性和详细信息。本文的主要目的是为那些想要开发用于检测动脉疾病的自动诊断系统的读者提供指导。为了实现这一目标,本文介绍了在开发自动诊断系统时应考虑的技术。本文将有助于人们更好地理解检测动脉疾病的技术。