Please use this identifier to cite or link to this item: http://repository.umac.mo/handle/10692/990
Title: A 0.83-µW QRS detection processor using quadratic spline wavelet transform for wireless ECG acquisition in 0.35-µm CMOS
Authors: Mak, Pui In (麥沛然)
Ieong, Chio In
Lam, Chi Pang
Dong, Cheng (董鋮)
Vai, Mang I (韋孟宇)
Mak, Peng Un (麥炳源)
Pun, Sio Hang (潘少恒)
Wan, Feng (萬峰)
Martins, Rui Paulo da Silva
Issue Date: Feb-2012
Publisher: IEEE
Citation: IEEE transactions on biomedical circuits and systems, Dec. 2012, v. 6, no. 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 powerin 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 the latter 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- CMOS the 300-Hz processor draws only 0.83, 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://hdl.handle.net/10692/990
ISSN: 1932-4545
Keywords: Wearable electrocardiograph (ECG) device
Wireless ECG monitoring
QRS detection, quadratic spline wavelet transform
Wavelet transform
Access: http://dx.doi.org/10.1109/TBCAS.2012.2188798
Appears in Collections:ECE Journal Articles

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