Zhao Z - Search Results

1

Optimal machine learning methods for prediction of high-flow nasal cannula outcomes using image features from electrical impedance tomography.

Yang L, Li Z, Dai M, Fu F, Möller K, Gao Y, Zhao Z. Yang L, et al. Among authors: zhao z. Comput Methods Programs Biomed. 2023 Aug;238:107613. doi: 10.1016/j.cmpb.2023.107613. Epub 2023 May 16. Comput Methods Programs Biomed. 2023. PMID: 37209577 Free article.

2

Evaluation of an electrical impedance tomography-based Global Inhomogeneity Index for pulmonary ventilation distribution.

Zhao Z, Möller K, Steinmann D, Frerichs I, Guttmann J. Zhao Z, et al. Intensive Care Med. 2009 Nov;35(11):1900-6. doi: 10.1007/s00134-009-1589-y. Epub 2009 Aug 4. Intensive Care Med. 2009. PMID: 19652949

3

PEEP titration guided by ventilation homogeneity: a feasibility study using electrical impedance tomography.

Zhao Z, Steinmann D, Frerichs I, Guttmann J, Möller K. Zhao Z, et al. Crit Care. 2010;14(1):R8. doi: 10.1186/cc8860. Epub 2010 Jan 30. Crit Care. 2010. PMID: 20113520 Free PMC article.

4

A lung area estimation method for analysis of ventilation inhomogeneity based on electrical impedance tomography.

Zhao Z, Steinmann D, Müller-Zivkovic D, Martin J, Frerichs I, Guttmann J, Möller K. Zhao Z, et al. J Xray Sci Technol. 2010;18(2):171-82. doi: 10.3233/XST-2010-0252. J Xray Sci Technol. 2010. PMID: 20495244

5

Adaptive SLICE method: an enhanced method to determine nonlinear dynamic respiratory system mechanics.

Zhao Z, Guttmann J, Möller K. Zhao Z, et al. Physiol Meas. 2012 Jan;33(1):51-64. doi: 10.1088/0967-3334/33/1/51. Epub 2011 Dec 7. Physiol Meas. 2012. PMID: 22155927

6

Noninvasive method for measuring respiratory system compliance during pressure support ventilation.

Zhao Z, Eger M, Handzsuj T, Ranieri VM, Appendini L, Micelli C, Moller K. Zhao Z, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:3808-11. doi: 10.1109/IEMBS.2011.6090772. Annu Int Conf IEEE Eng Med Biol Soc. 2011. PMID: 22255169

7

Regional ventilation in cystic fibrosis measured by electrical impedance tomography.

Zhao Z, Fischer R, Frerichs I, Müller-Lisse U, Möller K. Zhao Z, et al. J Cyst Fibros. 2012 Sep;11(5):412-8. doi: 10.1016/j.jcf.2012.03.011. Epub 2012 May 31. J Cyst Fibros. 2012. PMID: 22658424 Free article.

8

Assessment of a volume-dependent dynamic respiratory system compliance in ALI/ARDS by pooling breathing cycles.

Zhao Z, Guttmann J, Möller K. Zhao Z, et al. Physiol Meas. 2012 Aug;33(8):N61-7. doi: 10.1088/0967-3334/33/8/N61. Epub 2012 Jul 25. Physiol Meas. 2012. PMID: 22828159

9

Noise in respiratory signals influences dynamic respiratory system compliance analysis: A simulation study.

Zhao Z, Chase G, Möller K. Zhao Z, et al. Biomed Tech (Berl). 2013 Aug;58 Suppl 1:/j/bmte.2013.58.issue-s1-I/bmt-2013-4213/bmt-2013-4213.xml. doi: 10.1515/bmt-2013-4213. Epub 2013 Sep 7. Biomed Tech (Berl). 2013. PMID: 24042881 Free article. No abstract available.

10

Regional airway obstruction in cystic fibrosis determined by electrical impedance tomography in comparison with high resolution CT.

Zhao Z, Müller-Lisse U, Frerichs I, Fischer R, Möller K. Zhao Z, et al. Physiol Meas. 2013 Nov;34(11):N107-14. doi: 10.1088/0967-3334/34/11/N107. Epub 2013 Oct 22. Physiol Meas. 2013. PMID: 24150032

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