Adaptive Noise Reduction of Multichannel Signals Obtained by Capacitive ECG Sensors

M. Seo, Jun Seong Lee, S. W. Kim, Minho Choi
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Abstract

Capacitive electrocardiogram (ECG) sensors have been developed as a non-intrusive measurement to obtain ECG in daily life. However, the sensors are sensitive to motion noise caused by user′s movement so that this paper suggests a novel noise reduction using active noise cancellation (ANC) with multichannel signals. The proposed algorithm can detect reliable QRS interval and conserve its power while noise is reduced outside the interval. As a result, the proposed algorithm achieved more accurate R peak detection of ECG measured in driving situation than single channel ANC. The method will be useful in the filed reducing noise of multichannel biomedical signal.
电容式心电传感器多通道信号的自适应降噪
电容式心电图传感器作为一种非侵入式测量方法,在日常生活中得到了广泛的应用。然而,传感器对用户运动产生的运动噪声很敏感,因此本文提出了一种新的多通道信号主动降噪(ANC)降噪方法。该算法能够检测出可靠的QRS区间,并在降低区间外噪声的同时节省功率。结果表明,与单通道ANC相比,该算法能够更准确地检测出驾驶状态下的心电R峰。该方法可用于多通道生物医学信号的降噪领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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