Multiple functional ECG signal is processing for wearable applications of long-term cardiac monitoring.
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 μ 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.
Liu
Xin
X
Institute of Microelectronics, A∗STAR, Singapore. liux@ime.a-star.edu.sg
Zheng
Yuanjin
Y
Phyu
Myint Wai
MW
Zhao
Bin
B
Je
Minkyu
M
Yuan
Xiaojun
X
D000465:Algorithms; D003020:Clothing; D003198:Computer Simulation; D015716:Electrocardiography, Ambulatory / Q000379:methods*; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis