A 0.83-μW QRS detection processor using quadratic spline wavelet transform for wireless ECG acquisition in 0.35-μm CMOS
Chio-In Ieong; Pui-In Mak; Chi-Pang Lam; Cheng Dong; Mang-I Vai; Peng-Un Mak; Sio-Hang Pun; Feng Wan; Rui P. Martins
2012
Source PublicationIEEE Transactions on Biomedical Circuits and Systems
ISSN1932-4545
Volume6Issue:6Pages: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 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-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. © 2007-2012 IEEE.

KeywordQrs Detection Quadratic Spline Wavelet Transform Wavelet Transform Wearable Electrocardiograph (Ecg) Device Wireless Ecg Monitoring
DOIhttp://doi.org/10.1109/TBCAS.2012.2188798
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Biomedical ; Engineering, Electrical & Electronic
WOS IDWOS:000313907800008
The Source to ArticleScopus
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Citation statistics
Cited Times [WOS]:66   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
INSTITUTE OF MICROELECTRONICS
Corresponding AuthorChio-In Ieong; Pui-In Mak; Chi-Pang Lam; Cheng Dong; Mang-I Vai; Peng-Un Mak; Sio-Hang Pun; Feng Wan; Rui P. Martins
AffiliationDepartment of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macao 999078, China
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Chio-In Ieong,Pui-In Mak,Chi-Pang Lam,et al. A 0.83-μW QRS detection processor using quadratic spline wavelet transform for wireless ECG acquisition in 0.35-μm CMOS[J]. IEEE Transactions on Biomedical Circuits and Systems,2012,6(6):586 - 595.
APA Chio-In Ieong.,Pui-In Mak.,Chi-Pang Lam.,Cheng Dong.,Mang-I Vai.,...&Rui P. Martins.(2012).A 0.83-μW QRS detection processor using quadratic spline wavelet transform for wireless ECG acquisition in 0.35-μm CMOS.IEEE Transactions on Biomedical Circuits and Systems,6(6),586 - 595.
MLA Chio-In Ieong,et al."A 0.83-μW QRS detection processor using quadratic spline wavelet transform for wireless ECG acquisition in 0.35-μm CMOS".IEEE Transactions on Biomedical Circuits and Systems 6.6(2012):586 - 595.
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