Automatic detection of motion artifacts in the ballistocardiogram measured on a modified bathroom scale.
Med Biol Eng Comput
; 49(2): 213-20, 2011 Feb.
Article
em En
| MEDLINE
| ID: mdl-21153058
ABSTRACT
Ballistocardiography (BCG) is a non-invasive technique used to measure the ejection force of blood into the aorta which can be used to estimate cardiac output and contractility change. In this work, a noise sensor was embedded in a BCG measurement system to detect excessive motion from standing subjects. For nine healthy subjects, the cross-correlation of the motion signal to the BCG noise--estimated using a simultaneously acquired electrocardiogram and statistics of the BCG signal--was found to be 0.94 and 0.87, during periods of standing still and with induced motion artifacts, respectively. In a separate study, where 35 recordings were taken from seven subjects, a threshold-based algorithm was used to flag motion-corrupted segments of the BCG signal using only the auxiliary motion sensor. Removing these flagged segments enhanced the BCG signal-to-noise ratio (SNR) by an average of 14 dB (P < 0.001). This integrated motion-sensing technique addresses a gap in methods available to identify and remove noise in standing BCG recordings due to movement, in a practical manner that does not require user intervention or obtrusive sensing.
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Balistocardiografia
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Processamento de Sinais Assistido por Computador
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Insuficiência Cardíaca
Tipo de estudo:
Diagnostic_studies
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Prognostic_studies
Limite:
Adult
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Med Biol Eng Comput
Ano de publicação:
2011
Tipo de documento:
Article
País de afiliação:
Estados Unidos