Fig. 1: Statistical summaries of the mRMEBP for LTAFDB and AFDB.
From: mRMEBP: a unified framework for online detection of atrial fibrillation utilizing deep learning
a Heat map analysis of nAF annotations in the LTAFDB (using \(s{h}_{\alpha }^{{\prime\prime} }\) vs. \(s{h}_{{\rm{HR}}}^{{\prime\prime} 2}\), subsequent details omitted). b Heat map analysis of AF annotations in the LTAFDB. c Heat map visualization of beats detected as nAF in the LTAFDB. d Heat map visualization of beats identified as AF in the LTAFDB. e Confusion matrix representing classification results for the LTAFDB. f The overall performance results for the LTAFDB. g Heat map analysis of nAF annotations in the AFDB. h Heat map analysis of AF annotations in the AFDB. i Heat map visualization of beats detected as nAF in the AFDB. j Heat map visualization of beats identified as AF in the AFDB. k Confusion matrix representing classification results for the AFDB. l The overall performance results for the AFDB. The color bars indicate the counts, and the counts are presented in the form of a logarithm base 2. See text for abbreviations.
