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Table 3 Comparison of different a wave detection performance on the testing dataset (APG signals measured at rest and after 2 hours of exercise)

From: Detection of a and b waves in the acceleration photoplethysmogram

Algorithm TP (%) FN (%) FP (%) SE (%) +P (%) Threshold values
THR 1 THR 2 THR 3
Proposed 100 0.32 0 99.78 100 M A beat+α W 2 NA
algorithm
AF1 69.5 7.5 30.5 90.25 69.5 0.31 0.0001 -0.001
AF2 0.018 0.27 99.98 6.25 0.018 0.21 0.75 NA
AF3 0 0 100 NaN 0 62 NA NA
FD1 0.27 2.8 99.73 8.79 0.27 0.099 NA NA
FD2 0 0 100 NaN 0 150 NA NA
DF1 0 0 100 NaN 0 21 NA NA
DF2 48.8 14.2 51.2 77.46 48.8 1 0.06 NA
FS1 2.42 0.3 97.58 88.97 2.42 154.5 NA NA
FS2 42.46 6.9 57.54 86.02 42.46 0.55 0.47 NA
  1. The PPG signals were collected from 27 subjects for 20 seconds during the 5 minutes break between each exercise [5]. To compare the performance of the proposed algorithm with the nine algorithms [5], two statistical measures were used: SE=TP/(TP+FN) and +P=TP/(TP+FP), where TP is the number of true positives (a wave detected as a wave), FN is the number of false negatives (a wave has not been detected), and FP is the number of false positives (non-a wave detected as a wave). Here, NA stands for Not Applied, while NaN stands for Not-a-Number.