Alonso-Betanzos A, Cabrero-Canosa M, Moret-Bonillo V
Faculty of Informatics, University of La Coruña, Spain.
J Clin Eng. 1995 Jan-Feb;20(1):57-65. doi: 10.1097/00004669-199501000-00013.
The system described, VISC, has as its aim the acquisition and subsequent digitization of monodimensional cardiotocographic signals. These signals can originate in any type of hospital cardiotocographic register, as well as in a book of uterine activity (UA) or fetal heart rate (FHR) signals. VISC consists of a set of algorithms to identify the fetal heart rate signal, although it can be used with minor corrections to work on any continuous curve. Some of the problems that may arise, such as signal loss and presence of noise, are discussed to illustrate the proposed method. The program is integrated into a wider environment, whose main nucleus is the NST-EXPERT expert system, for the diagnosis of fetal well-being, the recommendation of therapeutical plans and the prognosis of immediate neonatal states.
所描述的系统VISC旨在获取一维心电图信号并随后进行数字化处理。这些信号可以源自任何类型的医院心电图记录，以及子宫活动（UA）或胎儿心率（FHR）信号册。VISC由一组用于识别胎儿心率信号的算法组成，不过经过微小修正后也可用于处理任何连续曲线。文中讨论了可能出现的一些问题，如信号丢失和噪声存在等，以说明所提出的方法。该程序集成到一个更广泛的环境中，其核心是NST - EXPERT专家系统，用于胎儿健康诊断、治疗方案推荐以及新生儿即时状态的预后评估。
