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. Author manuscript; available in PMC: 2021 Jul 31.
Published in final edited form as: Physiol Meas. 2018 Dec 21;39(12):124005. doi: 10.1088/1361-6579/aaf339

Table 6:

A comparison with the latest sleep staging algorithms

Work Signals used Database Subjects (Recordings) classes k-fold Ace κ
Long et al. (2014) RIP part of SIESTA 48 out of 584 4 classes 10-fold 64.9 0.41
Fonseca et al. (2015) ECG+RIP part of SIESTA 48 out of 584 4 classes 10-fold 69 0.49
Tataraidze et al. (2016) ECG+RIP part of SHHSv1 625 out of 5793 4 classes 5-fold 71.4 0.57
our work ECG SLPDB 16 (18) 4 classes 10-fold 75.4 0.54
out work ECG SHHSv1 5793 4 classes 10-fold 65.9 0.47
Fonseca et al. (2015) ECG+RIP part of SIESTA 48 out of 584 3 classes 10-fold 80 0.56
Long et al. (2014) RIP part of SIESTA 48 out of 584 3 classes 10-fold 77.1 0.48
Wei et al. (2018) ECG SLPDB 16 (18) 3 classes 10-fold* 77 0.56
our work ECG SLPDB 16 (18) 3 classes 10-fold 81.6 0.63
out work ECG SHHSv1 5793 3 classes 10-fold 75.3 0.57
Thomas et al. (2005) ECG private 35train+35test+15test 2 classes - - 0.439
Fonseca et al. (2017) ECG+RIP part of SIESTA+private 180 (342) 2 classes 10-fold 78.71 0.55
Yoon et al. (2017) ECG private 26train+25test 2 classes - 87.03 0.61
our work ECG SLPDB 16 (18) 2 classes 10-fold 85.1 0.68
out work ECG SHHSv1 5793 2 classes 10-fold 80.8 0.61
*

10-fold by epochs, not by recordings