Institute of Electrical and Electronics Engineers Inc.;United States: IEEE
摘要:
摘要： Low-complexity compressed sensing (CS) techniques for monitoring electrocardiogram (ECG) signals in wireless body sensor network (WBSN) are presented. The prior probability of ECG sparsity in the wavelet domain is first exploited. Then, variable orthogonal multi-matching pursuit (vOMMP) algorithm that consists of two phases is proposed. In the first phase, orthogonal matching pursuit (OMP) algorithm is adopted to effectively augment the support set with reliable indices and in the second phase, the orthogonal multi-matching pursuit (OMMP) is employed to rescue the missing indices. The reconstruction performance is thus enhanced with the prior information and the vOMMP algorithm. Furthermore, the computation-intensive pseudo-inverse operation is simplified by the matrix-inversion-free (MIF) technique based on QR decomposition. The vOMMP-MIF CS decoder is then implemented in 90 nm CMOS technology. The QR decomposition is accomplished by two systolic arrays working in parallel. The implementation supports three settings for obtaining 40, 44, and 48 coefficients in the sparse vector. From the measurement result, the power consumption is 11.7 mW at 0.9 V and 12 MHz. Compared to prior chip implementations, our design shows good hardware efficiency and is suitable for low-energy applications. 其他題名： TBCAS 其他題名： IEEE Trans Biomed Circuits Syst 出版者： United States: IEEE 出版日期： 2016-08 出處： IEEE transactions on biomedical circuits and systems, 2016-08, Vol.10 (4), p.864-873 資源來源： IEEE Electronic Library (IEL) 版權： Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2016 識別號： ISSN: 1932-4545 識別號： ISSN: 1940-9990 識別號： EISSN: 1940-9990 識別號： DOI: 10.1109/TBCAS.2016.2539244 識別號： PMID: 28113440 識別號： CODEN: ITBCCW
