Multiresolution inter-sample and inter-lead eigen error features for classification of cardiac diseases

Tripathy, Rajesh Kumar; Dandapat, Samarendra

doi:10.1109/ncc.2016.7561157

Cited by 2 publications

(4 citation statements)

References 18 publications

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“…The sub‐band matrices

X_{A 5}

X_{D 5}

X_{D 4}

and

X_{D 3}

capture the information of multichannel EEG signal. The eigenanalysis of these four matrices are performed using SVD [33]. The SVD of the approximation and the detail sub‐band matrices are given as

X_{A L} = U_{A L} Λ_{A L} V_{A L}^{T}

X_{D l} = U_{D l} Λ_{D l} V_{D l}^{T}, l = 1, 2, 3, 4, 5

where

U_{A L}

and

V_{A L}

are the left eigenmatrix and the right eigenmatrix for approximation sub‐band matrix.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…The SVD of the approximation and the detail sub‐band matrices are given as

X_{A L} = U_{A L} Λ_{A L} V_{A L}^{T}

X_{D l} = U_{D l} Λ_{D l} V_{D l}^{T}, l = 1, 2, 3, 4, 5

where

U_{A L}

and

V_{A L}

are the left eigenmatrix and the right eigenmatrix for approximation sub‐band matrix. Similarly, the left eigenmatrix and the right eigenmatrix for the l th detail sub‐band matrix are

U_{D l}

and

V_{D l}

, respectively [33].

σ_{A L 1}, σ_{A L 2}, \dots, σ_{A L p} = normaldiag false(Λ_{A L} false)

and

σ_{1 D l}, σ_{2 D l}, \dots, σ_{p D l} = normaldiag false(Λ_{D l} false)

are the singular value matrices for approximation sub‐band matrix and the l th detail sub‐band matrix, respectively.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…The sub-band matrices X A5 , X D5 , X D4 and X D3 capture the information of multichannel EEG signal. The eigenanalysis of these four matrices are performed using SVD [33]. The SVD of the approximation and the detail sub-band matrices are given as…”

Section: Hadjidimitriou Andmentioning

confidence: 99%

“…where U AL and V AL are the left eigenmatrix and the right eigenmatrix for approximation sub-band matrix. Similarly, the left eigenmatrix and the right eigenmatrix for the lth detail sub-band matrix are U Dl and V Dl , respectively [33]. Similarly, the overall accuracy (OA) of the ELM classifier is given as, OA = 5 i=1 SE i /5 .…”

Section: Hadjidimitriou Andmentioning

confidence: 99%

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Understanding perception of active noise control system through multichannel EEG analysis

Tripathy

Nanda

Preetam

et al. 2018

Healthcare Technology Letters

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In this Letter, a method is proposed to investigate the effect of noise with and without active noise control (ANC) on multichannel electroencephalogram (EEG) signal. The multichannel EEG signal is recorded during different listening conditions such as silent, music, noise, ANC with background noise and ANC with both background noise and music. The multiscale analysis of EEG signal of each channel is performed using the discrete wavelet transform. The multivariate multiscale matrices are formulated based on the sub-band signals of each EEG channel. The singular value decomposition is applied to the multivariate matrices of multichannel EEG at significant scales. The singular value features at significant scales and the extreme learning machine classifier with three different activation functions are used for classification of multichannel EEG signal. The experimental results demonstrate that, for ANC with noise and ANC with noise and music classes, the proposed method has sensitivity values of 75.831% () and 99.31% (), respectively. The method has an accuracy value of 83.22% for the classification of EEG signal with music and ANC with music as stimuli. The important finding of this study is that by the introduction of ANC, music can be better perceived by the human brain.

show abstract

“…The sub‐band matrices

X_{A 5}

X_{D 5}

X_{D 4}

and

X_{D 3}

capture the information of multichannel EEG signal. The eigenanalysis of these four matrices are performed using SVD [33]. The SVD of the approximation and the detail sub‐band matrices are given as

X_{A L} = U_{A L} Λ_{A L} V_{A L}^{T}

X_{D l} = U_{D l} Λ_{D l} V_{D l}^{T}, l = 1, 2, 3, 4, 5

where

U_{A L}

and

V_{A L}

are the left eigenmatrix and the right eigenmatrix for approximation sub‐band matrix.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…The SVD of the approximation and the detail sub‐band matrices are given as

X_{A L} = U_{A L} Λ_{A L} V_{A L}^{T}

X_{D l} = U_{D l} Λ_{D l} V_{D l}^{T}, l = 1, 2, 3, 4, 5

where

U_{A L}

and

V_{A L}

are the left eigenmatrix and the right eigenmatrix for approximation sub‐band matrix. Similarly, the left eigenmatrix and the right eigenmatrix for the l th detail sub‐band matrix are