Predictive analysis of identification and disease condition monitoring using bioimpedance data-Reference-Cited by-同舟云学术

Predictive analysis of identification and disease condition monitoring using bioimpedance data

Published:2020-08-06 Issue:2 Volume:12 Page:2955-2963
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Santhosh Sheeba,Juliet A. Vimala,Krishnan G. Hari

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-020-02452-7.pdf

Reference41 articles.

1. Albert NM (2006) Bioimpedancecardiography measurements of cardiac output and other cardiovascular parameters. Crit Care Nurs Clin N Am 18(2):195–202

2. Buchholz AC, Bartok C, Schoeller DA (2004) The validity of bioelectrical impedance models in clinical populations. Nutr Clin Pract 19:433–446

3. Cheng KS, Chen CY, Huang MW, Chen CH (2007) A multi-frequency current source for bioimpedance application. In: 5th international IEEE EMBS special topic conference on information technology in biomedicine

4. Cibulka MT, Threlkeld J (2004) The early clinical diagnosis of osteoarthritis of the hip. J Orthop Sports Phys Therapy 34(8):461–467

5. Cole KS, Cole RH (1941) Dispersion and absorption in dielectrics. Alternating current characteristics. J Chem Phys 9:341–351

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