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Table 4 The Results of proposed snoring detection method and Comparison with previous snoring detection algorithms

From: Unconstrained snoring detection using a smartphone during ordinary sleep

Method

TP

FN

TN

FP

AC

SE

SP

PP

Proposed

278

4

2057

117

95.07%

98.58%

94.62%

70.38%

Jané R, et al. [15]

422

96

-

46

-

82.31%

-

90.77%

Cavusoglu M, et al. [17]

9866

934

11010

247

94.65%

91.35%

97.81%

97.56%

  1. TP: True Positive, TN: True Negative, FP: False Positive, FN: False Negative.
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BioMedical Engineering OnLine

ISSN: 1475-925X

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