CPR artifact removal in ventricular fibrillation ECG signals using Gabor multipliers.
IEEE Trans Biomed Eng
; 56(2): 320-7, 2009 Feb.
Article
em En
| MEDLINE
| ID: mdl-19342329
BACKGROUND AND OBJECTIVE: We present an algorithm for discarding cardiopulmonary resuscitation (CPR) components from ventricular fibrillation ECG (VF ECG) signals and establish a method for comparing CPR attenuation on a common dataset. Removing motion artifacts in ECG allows for uninterrupted rhythm analysis and reduces "hands-off" time during resuscitation. METHODS AND RESULTS: The current approach assumes a multichannel setting where the information of the corrupted ECG is combined with an additional pressure signal in order to estimate the motion artifacts. The underlying algorithm relies on a localized time-frequency transformation, the Gabor transform, that reveals the perturbation components, which, in turn, can be attenuated. The performance of the method is evaluated on a small set of test signals in the form of error analysis and compared to two well-established CPR removal algorithms that use an adaptive filtering system and a state-space model, respectively. CONCLUSION: We primarily point out the potential of the algorithm for successful artifact removal; however, on account of the limited set of human VF and animal asystole CPR signals, we refrain from a statistical analysis of the efficiency of CPR attenuation. The results encourage further investigations in both the theoretical and the clinical setup.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Processamento de Sinais Assistido por Computador
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Reanimação Cardiopulmonar
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Artefatos
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Desfibriladores
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Eletrocardiografia
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Modelos Cardiovasculares
Tipo de estudo:
Prognostic_studies
Limite:
Animals
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Humans
Idioma:
En
Ano de publicação:
2009
Tipo de documento:
Article