PMID- 27197487
OWN - NLM
STAT- MEDLINE
DCOM- 20160610
LR  - 20181202
IS  - 1671-7104 (Print)
IS  - 1671-7104 (Linking)
VI  - 40
IP  - 1
DP  - 2016 Jan
TI  - [Research on PPG Signal Reconstruction Based on Compressed Sensing].
PG  - 5-9
AB  - In order to improve the storage and transmission efficiency of dynamic 
      photoplethysmography (PPG) signals in the detection process and reduce the 
      redundancy of signals, the modified adaptive matching pursuit (MAMP) algorithm 
      was proposed according to the sparsity of the PPG signal. The proposed algorithm 
      which is based on reconstruction method of sparse adaptive matching pursuit 
      (SAMP), could improve the accuracy of the sparsity estimation of signals by using 
      both variable step size and the double threshold conditions. After experiments on 
      the simulated and the actual PPG signals, the results show that the modified 
      algorithm could estimate the sparsity of signals accurately and quickly, and had 
      good anti-noise performance. Contrasting with SAMP and orthogonal matching 
      pursuit (OMP), the reconstruction speed of the algorithm was faster and the 
      accuracy was high.
FAU - Zhang, Aihua
AU  - Zhang A
FAU - Ou, Jiqing
AU  - Ou J
FAU - Chou, Yongxin
AU  - Chou Y
FAU - Yang, Bin
AU  - Yang B
LA  - chi
PT  - Journal Article
PL  - China
TA  - Zhongguo Yi Liao Qi Xie Za Zhi
JT  - Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
JID - 9426153
SB  - IM
MH  - *Algorithms
MH  - Humans
MH  - *Image Processing, Computer-Assisted
MH  - *Photoplethysmography
EDAT- 2016/05/21 06:00
MHDA- 2016/06/11 06:00
CRDT- 2016/05/21 06:00
PHST- 2016/05/21 06:00 [entrez]
PHST- 2016/05/21 06:00 [pubmed]
PHST- 2016/06/11 06:00 [medline]
PST - ppublish
SO  - Zhongguo Yi Liao Qi Xie Za Zhi. 2016 Jan;40(1):5-9.