Multiple Functional ECG Signal is Processing for Wearable Applications of Long-Term Cardiac Monitoring
作者： Xin Liu , Yuanjin Zheng , Myint Wai Phyu , Bin Zhao , Minkyu Je
DOI: 10.1109/TBME.2010.2061230
关键词: Signal processing 、 Wearable computer 、 Wavelet transform 、 Real-time computing 、 Cardiac monitoring 、 Signal reconstruction 、 Electrocardiography 、 Hardware architecture 、 Computer science 、 Wavelet
摘要: In this paper, an integrated electrocardiogram (ECG) signal-processing scheme is proposed. Using a systematic wavelet transform algorithm, can realize multiple functions in real time, including baseline-drift removal, noise suppression, QRS detection, heart beat rate prediction and classification, clean ECG reconstruction. Utilizing the novel low-cost hardware architecture, proposed implemented application-specific circuits with 0.18 μm CMOS technology. This signal-processor chip achieves low area power consumptions, highly suitable for wearable applications of long-term cardiac monitoring.
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