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Table 6 Comparison with Previous Research

From: Sleep stage classification using extreme learning machine and particle swarm optimization for healthcare big data

Paper

Dataset

Method

Accuracy

2 class

3 class

4 class

6 class

Werteni et al. [22]

MITBPD

ELM

78.33%

–

–

–

BPNN

76.74%

–

–

–

SVM

78.12%

–

–

–

Adnane et al. [20]

MITBPD

SVM (12 features)

79.31%

–

–

–

SVM (10 features)

79.99%

–

–

–

Xiao et al. [21]

SHRSV

Random Forest (41 features)

–

88.67%

–

–

Yücelbaş et al. [29]

SHRSV

Morphological

–

77.02%

–

–

Wei et al. [30]

PSG

DNN

–

77%

–

–

Our paper

MITBPD

ELM and PSO

82.1%

76.77%

71.52%

62.66%