Reconstruction of physiological signals using iterative retraining and accumulated averaging of neural network models

Physiological Measurement

Volumn 32, Issue 6, 2011, Pages 661-675

  McBride, Joseph ^a   Sullivan, Adam ^a   Xia, Henian ^a   Petrie, Adam ^a   Zhao, Xiaopeng ^a  

^a UNIVERSITY OF TENNESSEE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; ITERATIVE METHODS; PHYSIOLOGICAL MODELS; PHYSIOLOGY; REPAIR;

AVERAGE CORRELATION COEFFICIENTS; MEDICAL RESEARCH; NEURAL NETWORK MODEL; NEURAL-NETWORKS; PHYSIOLOGICAL SIGNALS; PHYSIONET; REAL TIME MONITORING; RESEARCH AND APPLICATION; SIGNALS RECONSTRUCTION; TARGET SIGNALS;

SIGNAL RECONSTRUCTION;

EID: 79957744368     PISSN: 09673334     EISSN: 13616579     Source Type: Journal    
DOI: 10.1088/0967-3334/32/6/004     Document Type: Article

References (27)

1. Bertels K, Neuberg L, Vassiliadis S and Pechanek D G 2001 On chaos and neural networks: the backpropagation paradigm Artif. Intell. Rev. 15 165-87 (Pubitemid 32454338)
2. Box G, Jenkins G M and Reinsel G C 1994 Time Series Analysis: Forecasting and Control 3rd edn (Englewood Cliffs, NJ: Prentice-Hall)
3. Dong J et al 2010 Automated sleep staging technique based on the empirical mode decomposition algorithm: a preliminary study Adv. Adapt. Data Anal. 2 267-76
4. Edwards A L 1976 The correlation coefficient An Introduction to Linear Regression and Correlation (San Francisco, CA: Freeman) chapter 4 pp 33-46
5. Garcia S P and Almeida J S 2005 Multivariate phase space reconstruction by nearest neighbor embedding with different time delays Phys. Rev. E 72 027205
6. Goldberger A L, Amaral L A N, Glass L, Hausdorff J M, Ivanov P C, Mark R G, Mietus J E, Moody G B, Peng C K and Stanley H E 2000 PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals Circulation 101 e215-20 (Circulation Electronic Pages http://circ.ahajournals.org/cgi/content/full/101/23/e215)
7. Han M, Xi J, Xu S and Yin F 2004 Prediction of chaotic time series based on the recurrent predictor neural network IEEE Trans. Signal Process. 52 3408-16
8. Hartmann A 2010 Reconstruction of missing cardiovascular signals using adaptive filtering Comput. Cardiol. 37 321-4
9. Hastie T, Tibshirani R and Friedman J 2001 The Elements of Statistical Learning: Data Mining, Inference, and Prediction (New York: Springer)
10. Haykin S 1999 Neural Networks: A Comprehensive Foundation (Englewood Cliffs, NJ: Prentice-Hall)
11. Kantz H and Schreiber T 2004 Nonlinear Time Series Analysis (Cambridge: Cambridge University Press)
12. Langley P, King S, Wang K, Zheng D, Giovannini R, Bojarnejad M and Murray A 2010 Estimation of missing data in multichannel physiological time-series by reference timing channel and average substitution Comput. Cardiol. 37 309-12
13. Leung H, Lo T and Wang S 2001 Prediction of noisy chaotic time series using an optimal radial basis function neural network IEEE Trans. Neural Netw. 12 1163-72 (Pubitemid 32981756)
14. Li Y, Sun Y, Sondhi P, Sha L and Zhai C 2010 Reconstructing missing signals in multi-parameter physiologic data by mining the aligned contextual information Comput. Cardiol. 37 453-6
15. Mathworks 2010 http://www.mathworks.com
16. Moody G B 2010 The PhysioNet/Computing in Cardiology Challenge 2010: mind the gap Comput. Cardiol. 37 305-8
17. Newton 2010 Newton High Performance Computing Program https://newton.utk.edu/
18. Petrolis R, Simoliuniene R and Krisciukaitis A 2010 Principal component analysis-based method for reconstruction of fragments of corrupted or lost signal in multilead data reflecting electrical heart activity and hemodynamics Comput. Cardiol. 37 437-40
19. Pincus S M and Goldberger A L 1994 Physiological time-series analysis: what does regularity quantify? Am. J. Physiol. 266 H1643-56
20. Rodrigues R 2010 Filling in the gap: a general method using neural networks Comput. Cardiol. 37 453-6
21. Saeed M, Lieu C, Raber G and Mark R G 2002 MIMIC II: a massive temporal ICU patient database to support research in intelligent patient monitoring Comput. Cardiol. 29 641-4
22. Silva I 2010 PhysioNet 2010 Challenge: a robust multi-channel adaptive filtering approach to the estimation of physiological recordings Comput. Cardiol. 37 313-6
23. Song S, Yu Z and Chen X 2005 A novel radial basis function neural network for approximation Int. J. Inf. Technol. 11 46-53
24. Steel R G D and Torrie J H 1960 Principles and Procedures of Statistics (New York: McGraw-Hill) pp 187, 287
25. Sullivan A, Xia H, McBride J and Zhao X 2010 Reconstruction of missing physiological signals using artificial neural networks Comput. Cardiol. 37 317-20
26. Wu W 2010 Multi-parameter physiologic signal reconstruction by means of wavelet singularity detection and signal correlation Comput. Cardiol. 37 457-60
27. Zou R, Wang H and Chon K H 2003 A robust time-varying identification algorithm using basis functions Ann. Biomed. Eng. 31 840-53