Topological data analysis (TDA) enhances bispectral EEG (BSEEG) algorithm for detection of delirium.

ABSTRACT: Current methods for screening and detecting delirium are not practical in clinical settings. We previously showed that a simplified EEG with bispectral electroencephalography (BSEEG) algorithm can detect delirium in elderly inpatients. In this study, we performed a post-hoc BSEEG data analysis using larger sample size and performed topological data analysis to improve the BSEEG method. Data from 274 subjects included in the previous study were analyzed as a 1st cohort. Subjects were enrolled at the University of Iowa Hospitals and Clinics (UIHC) between January 30, 2016, and October 30, 2017. A second cohort with 265 subjects was recruited between January 16, 2019, and August 19, 2019. The BSEEG score was calculated as a power ratio between low frequency to high frequency using our newly d

SUBMITTER: Yamanashi T 

PROVIDER: S-EPMC7801387 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature