An adaptive noise reduction algorithm can help mitigate motion artifacts in ECG signals acquired via wearable electro-conductive fabrics.
May enable wearable fabric ECG with reduced motion artifacts; leaves open clinical validation before practice adoption.
For ubiquitous healthcare system, it is very important to measure a bio-signal without any discomfort. The electro-conductive fabric can be a good application for biomedical sensor. However, it is difficult to measure the bio-signal because of its sensitivity variation caused by contact impedance change, especially by motion of the subject. In this paper, adaptive noise reduction algorithm on motion artifacts is described to measure electro-cardiogram using lead II configuration conducted with both Ag/AgCl electrode as a reference signal and electro-conductive fabric.
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Yoon et al. (2007) studied this question.
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