Machine learning techniques versus complexity theory in the cerebral haemodynamics of traumatic brain injury patients

María Fernanda Lobos Vásquez, Roberth Alcivar-Cevallos,Ronney B. Panerai,Max Chacón

2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI)(2021)

引用 0|浏览6
暂无评分
摘要
The objective of this study was to compare two paradigms of haemodynamic signals analysis which have been used to characterize between two physiological states. Cerebral blood flow velocity and arterial blood pressure signals of 30 patients with traumatic brain injury (TBI) and 30 healthy subjects were obtained non-invasively. Although different machine learning models have been tested with succes...
更多
查看译文
关键词
Support vector machines,Computational modeling,Machine learning,Brain modeling,Physiology,Entropy,Complexity theory
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要