Table 2 The configuration of the feature vector

1

RRI[k]

4

Adjacent RR intervals

k = -2 t(R _peak [n - 2]) - t(R _peak [n - 3])

k = -1 t(R _peak [n - 1]) - t(R _peak [n - 2])

k = 0 t(R _peak [n]) - t(R _peak [n - 1])

k = 1 t(R _peak [n + 1]) - t(R _peak [n])

2

RRIavg

1

The average RRI of the last 10 heartbeats

3

RRIdiv

1

The standard deviation between the RRI of last 10 heartbeats

4

Annotbf1

5

The classification results of the last heartbeat

[1 0 0 0 0] if Y _n = Normal beat

[0 0 1 0 0] if Y _n = SVEB

[0 0 1 0 0] if Y _n = VEB

[0 0 0 1 0] if Y _n = Fusion beat

[0 0 0 0 1] if Y _n = Unknown beat

5

Annotbf2

5

The classification results of the second-to-last heartbeat

6

Morph

4

Morphology data of the current heartbeat (After CWT-PCA-LDA)

LDA(PCA(CWT(X _n )))

7

Morphbf1

4

Morphology data of the last heartbeat (After CWT-PCA-LDA)

LDA(PCA(CWT(X _n-1)))

8

Morphbf2

4

Morphology data of the second-to-last heartbeat (After CWT-PCA-LDA)

LDA(PCA(CWT(X _n-2)))