PMID- 24209911
OWN - NLM
STAT- MEDLINE
DCOM- 20140619
LR  - 20131111
IS  - 1879-0534 (Electronic)
IS  - 0010-4825 (Linking)
VI  - 43
IP  - 11
DP  - 2013 Nov
TI  - Multi-Gaussian fitting for pulse waveform using Weighted Least Squares and 
      multi-criteria decision making method.
PG  - 1661-72
LID - S0010-4825(13)00219-9 [pii]
LID - 10.1016/j.compbiomed.2013.08.004 [doi]
AB  - Analysis of pulse waveform is a low cost, non-invasive method for obtaining vital 
      information related to the conditions of the cardiovascular system. In recent 
      years, different Pulse Decomposition Analysis (PDA) methods have been applied to 
      disclose the pathological mechanisms of the pulse waveform. All these methods 
      decompose single-period pulse waveform into a constant number (such as 3, 4 or 5) 
      of individual waves. Furthermore, those methods do not pay much attention to the 
      estimation error of the key points in the pulse waveform. The estimation of human 
      vascular conditions depends on the key points' positions of pulse wave. In this 
      paper, we propose a Multi-Gaussian (MG) model to fit real pulse waveforms using 
      an adaptive number (4 or 5 in our study) of Gaussian waves. The unknown 
      parameters in the MG model are estimated by the Weighted Least Squares (WLS) 
      method and the optimized weight values corresponding to different sampling points 
      are selected by using the Multi-Criteria Decision Making (MCDM) method. 
      Performance of the MG model and the WLS method has been evaluated by fitting 150 
      real pulse waveforms of five different types. The resulting Normalized Root Mean 
      Square Error (NRMSE) was less than 2.0% and the estimation accuracy for the key 
      points was satisfactory, demonstrating that our proposed method is effective in 
      compressing, synthesizing and analyzing pulse waveforms.
CI  - Copyright (c) 2013 Elsevier Ltd. All rights reserved.
FAU - Wang, Lu
AU  - Wang L
AD  - College of Information Science and Engineering, Northeastern University, Shenyang 
      City, Liaoning Province, 110819, China.
FAU - Xu, Lisheng
AU  - Xu L
FAU - Feng, Shuting
AU  - Feng S
FAU - Meng, Max Q-H
AU  - Meng MQ
FAU - Wang, Kuanquan
AU  - Wang K
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20130821
PL  - United States
TA  - Comput Biol Med
JT  - Computers in biology and medicine
JID - 1250250
SB  - IM
MH  - Adult
MH  - Aged
MH  - Aged, 80 and over
MH  - Humans
MH  - *Least-Squares Analysis
MH  - Middle Aged
MH  - Photoplethysmography
MH  - Pulse
MH  - Pulse Wave Analysis/*methods
MH  - *Signal Processing, Computer-Assisted
MH  - Young Adult
OTO - NOTNLM
OT  - Multi-Gaussian model
OT  - Multi-criteria decision making
OT  - Photoplethysmography
OT  - Pulse decomposition analysis
OT  - Pulse waveform
EDAT- 2013/11/12 06:00
MHDA- 2014/06/20 06:00
CRDT- 2013/11/12 06:00
PHST- 2012/11/15 00:00 [received]
PHST- 2013/08/06 00:00 [revised]
PHST- 2013/08/11 00:00 [accepted]
PHST- 2013/11/12 06:00 [entrez]
PHST- 2013/11/12 06:00 [pubmed]
PHST- 2014/06/20 06:00 [medline]
AID - S0010-4825(13)00219-9 [pii]
AID - 10.1016/j.compbiomed.2013.08.004 [doi]
PST - ppublish
SO  - Comput Biol Med. 2013 Nov;43(11):1661-72. doi: 10.1016/j.compbiomed.2013.08.004. 
      Epub 2013 Aug 21.