Name
Abstract | ||
|---|---|---|
This paper proposes a low power and efficient QRS processor for real-time and continuous mobile ECG monitoring. The QRS detector contains the wavelet transform (WT), the modulus maxima pair identification (MMPI), and the R position modification (RPM). In order to reduce power consumption, we choose the Haar function as the mother wavelet of WT. It is implemented by an optimized FIR filter structur... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TBCAS.2017.2731797 | IEEE Transactions on Biomedical Circuits and Systems |
Keywords | DocType | Volume |
Wavelet transforms,Electrocardiography,Power demand,Monitoring,Mobile communication,Computational complexity | Conference | 11 |
Issue | ISSN | Citations |
6 | 1932-4545 | 1 |
PageRank | References | Authors |
0.35 | 12 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peng Li | 1 | 91 | 9.61 |
| zhang xu | 2 | 56 | 7.68 |
| Ming Liu | 3 | 25 | 4.81 |
| Xiaohui Hu | 4 | 82 | 7.59 |
| Bo Pang | 5 | 5795 | 451.00 |
| Zhaolin Yao | 6 | 3 | 1.73 |
| Hanjun Jiang | 7 | 207 | 43.12 |
| Hongda Chen | 8 | 99 | 20.06 |