Journal
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume 58, Issue 2, Pages 380-389Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2010.2061230
Keywords
Electrocardiogram (ECG); heart beat rate (HBR); QRS detection; wavelet transform (WT)
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Funding
- Science and Engineering Research Council of Agency for Science, Technology, and Research (A*STAR) [0521180055]
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In this paper, an integrated electrocardiogram (ECG) signal-processing scheme is proposed. Using a systematic wavelet transform algorithm, this signal-processing scheme can realize multiple functions in real time, including baseline-drift removal, noise suppression, QRS detection, heart beat rate prediction and classification, and clean ECG reconstruction. Utilizing the novel low-cost hardware architecture, the proposed ECG signal-processing scheme is implemented in application-specific integrated circuits with 0.18 mu m CMOS technology. This ECG signal-processor chip achieves low area and power consumptions, and is highly suitable for wearable applications of long-term cardiac monitoring.
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