Please use this identifier to cite or link to this item: http://repository.umac.mo/handle/10692/3818
Title: A 0.83-μW QRS Detection Processor Using Quadratic Spline Wavelet Transform for Wireless ECG Acquisition in 0.35- μm CMOS
Authors: Ieong, Chio-In
Mak, Pui In(麥沛然)
Lam, Chi-Pang
Dong, Cheng
Vai, Mang I( 韋孟宇)
Mak, Peng Un(麥炳源)
Pun, Sio Hang(潘少恒)
Wan, Feng(萬峰)
Martins, Rui P.
Issue Date: 5-Apr-2012
Publisher: IEEE Xplore
Citation: IEEE Transactions on Biomedical Circuits and Systems, Dec 2012, Vol 6, Issue 6, p. 586-595
Abstract: Healthcare electronics count on the effectiveness of the on-patient signal preprocessing unit to moderate the wireless data transfer for better power efficiency. In order to reduce the system power in long-time ECG acquisition, this work describes an on-patient QRS detection processor for arrhythmia monitoring. It extracts the concerned ECG part, i.e., the RR-interval between the QRS complex for evaluating the heart rate variability. The processor is structured by a scale-3 quadratic spline wavelet transform followed by a maxima modulus recognition stage. The former is implemented via a symmetric FIR filter, whereas thelatter includes a number of feature extraction steps: zero-crossing detection, peak (zero-derivative) detection, threshold adjustment and two finite state machines for executing the decision rules. Fabricated in 0.35-µm CMOS the 300-Hz processor draws only 0.83 µW, which is favorably comparable with the prior arts. In the system tests, the input data is placed via an on-chip 10-bit SAR analog-to-digital converter, while the output data is emitted via an off-the-shelf wireless transmitter (TI CC2500) that is configurable by the processor for different data transmission modes: 1) QRS detection result, 2) raw ECG data or 3) both. Validated with all recordings from the MIT-BIH arrhythmia database, 99.31% sensitivity and 99.70% predictivity are achieved. Mode 1 with solely the result of QRS detection exhibits 6 reduction of system power over modes 2 and 3.
URI: http://repository.umac.mo/handle/10692/3818
ISSN: 1932-4545
1940-9990
Keywords: QRS detection
Quadratic spline wavelet transform
Wavelet transform
Wearable electrocardiograph (ECG) device
Wireless ECG monitoring
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