Pessana Franco, Sanchez Ramiro
Information Technology Department, Engineering and Exact Sciences Faculty, Favaloro University, Buenos Aires, Argentina.
Electronic Department, Buenos Aires Regional Faculty, National Technological University, Buenos Aires, Argentina.
Curr Hypertens Rev. 2018;14(2):95-99. doi: 10.2174/1573402114666180703164409.
Adaptive identification systems focus on dynamical approaches based on the observed data from an experiment and/or clinical data. These systems establish a relationship between an input (arterial or vein instantaneous pressure) and an output (instantaneous arterial or vein diameter). Several dynamics relationships and applications can be established because of this adaptive identification as an arterial dynamic range (frequency response), biomechanical behavior of cryopreserved arteries, regional differences in veins as artery substitution, role of vascular smooth muscle in human hypertension and time invariance in the biomechanics of wall arteries. The aim of this review is to summarize some of those relevant results obtained from adaptive filter identification in cardiovascular dynamics research and clinical evaluation.
自适应识别系统专注于基于实验观测数据和/或临床数据的动态方法。这些系统建立了输入(动脉或静脉瞬时压力)与输出(动脉或静脉瞬时直径)之间的关系。由于这种自适应识别,可建立多种动力学关系和应用,如动脉动态范围(频率响应)、冷冻保存动脉的生物力学行为、作为动脉替代的静脉区域差异、血管平滑肌在人类高血压中的作用以及壁动脉生物力学中的时间不变性。本综述的目的是总结心血管动力学研究和临床评估中自适应滤波器识别所获得的一些相关结果。