Key result
Adaptive filtering using skin strain measured by an optical sensor as a reference signal successfully reduced skin stretch induced motion artifacts in ECG monitoring.
Why the study?
Does adaptive filtering using skin strain as a reference variable reduce motion artifacts in ECG monitoring?
Does adaptive filtering using skin strain as a reference variable reduce motion artifacts in ECG monitoring?
Answers are grounded in this paper and cite their sources.
Adaptive filtering using an optical sensor to measure skin strain can significantly reduce motion artifacts in ECG monitoring.
The effectiveness of electrocardiogram (ECG) monitors can be significantly impaired by motion artifacts which can cause misdiagnoses, lead to inappropriate treatment decisions, and trigger false alarms. Skin stretch associated with patient motion is a significant source of motion artifacts in current ECG monitoring. In this study, motion artifacts are adaptively filtered by using skin strain as the reference variable. Skin strain is measured non-invasively using a light emitting diode (LED) and an optical sensor incorporated in an ECG electrode. The results demonstrate that this device and method can significantly reduce skin strain induced ECG artifacts.
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Liu et al. (2006) studied Cardiovascular disease (ECG monitoring). Adaptive filtering using skin strain as reference signal vs. Standard ECG monitoring without adaptive filtering was evaluated on Reduction of skin stretch induced motion artifacts. Adaptive filtering using skin strain measured by an optical sensor as a reference signal successfully reduced skin stretch induced motion artifacts in ECG monitoring.
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