Biometric identification method for ECG based on the piecewise linear representation (PLR) and dynamic time warping (DTW) / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 976-981, 2013.
Artigo
em Chinês
| WPRIM
| ID: wpr-352129
ABSTRACT
To treat the problem of identification performance and the complexity of the algorithm, we proposed a piecewise linear representation and dynamic time warping (PLR-DTW) method for ECG biometric identification. Firstly we detected R peaks to get the heartbeats after denoising preprocessing. Then we used the PLR method to keep important information of an ECG signal segment while reducing the data dimension at the same time. The improved DTW method was used for similarity measurements between the test data and the templates. The performance evaluation was carried out on the two ECG databases PTB and MIT-BIH. The analystic results showed that compared to the discrete wavelet transform method, the proposed PLR-DTW method achieved a higher accuracy rate which is nearly 8% of rising, and saved about 30% operation time, and this demonstrated that the proposed method could provide a better performance.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Sistemas de Identificação de Pacientes
/
Algoritmos
/
Reconhecimento Fisiológico de Modelo
/
Eletrocardiografia
/
Identificação Biométrica
/
Métodos
Tipo de estudo:
Estudo diagnóstico
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2013
Tipo de documento:
Artigo
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