Med Biol Eng Comput - Automatic detection of motion artifacts in the ballistocardiogram measured on a modified bathroom scale.

Tópicos

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Resumo

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.

Resumo Limpo

ballistocardiographi bcg noninvas techniqu use measur eject forc blood aorta can use estim cardiac output contractil chang work nois sensor embed bcg measur system detect excess motion stand subject nine healthi subject crosscorrel motion signal bcg noiseestim use simultan acquir electrocardiogram statist bcg signalwa found period stand still induc motion artifact respect separ studi record taken seven subject thresholdbas algorithm use flag motioncorrupt segment bcg signal use auxiliari motion sensor remov flag segment enhanc bcg signaltonois ratio snr averag db p integr motionsens techniqu address gap method avail identifi remov nois stand bcg record due movement practic manner requir user intervent obtrus sens

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