Comparison of Different approaches to ICP Dominated pulse eztraction

摘要：

Changes of ICP waveform morphology are characterized with different patients states like hypertension, hydrocephalus and traumatic brain injury etc. Morphological clustering and analysis of ICP pulse (MOCAIP) approach is recently developed to extract ICP morphology feature, in which hierarchical clustering is used to extract the dominated pulse. In this paper, we evaluate the feasibility of using principle component analysis (PCA) and independent component analysis (ICA) to extract dominated pulse. The comparative study among clustering, PCA and ICP based approaches shows that PCA approach may be an alternative of clustering approach to extract dominated pulse in a faster fashion when dataset is of large size.

关键词： Intracranial pressure Dominated pulse Hierarchical clustering Principal component analysis Independent component analysis

作者: Peng Xu Shaozhi Wu Shadnaz Asgari Magdalena Kasprowicz Marvin Bergsneider Xiao Hu

作者单位: Neural Systems and Dynamics Laboratory,Department of Neurosurgery,the David Geffen School of Medicin Neural Systems and Dynamics Laboratory,Department of Neurosurgery,the David Geffen School of Medicin Neural Systems and Dynamics Laboratory,Department of Neurosurgery,the David Geffen School of Medicin Neural Systems and Dynamics Laboratory,Department of Neurosurgery,the David Geffen School of Medicin

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）