Modeling human respiratory impedance. Comparing the best method with the least estimation errors.

Modeling human respiratory impedance. Comparing the best method with the least estimation errors. Research Abstract Details 

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Modeling human respiratory impedance. Comparing the best method with the least estimation errors. Abstract Text:

Bill Diong,Homayoun Nazeran,Patricia Nava,Michael Goldman,

Modeling human respiratory impedance. Comparing the best method with the least estimation errors. Publishing Authors By Initials

B Diong,H Nazeran,P Nava,M Goldman,

For similar natural sciences: chemistry: chemistry, physical: viscosity research abstracts see: natural sciences: chemistry: chemistry, physical: viscosity research

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Modeling human respiratory impedance. Comparing the best method with the least estimation errors. Journal Published:

PUBLICATION TYPE: Research Support, N.I.H., Extr

Journal: IEEE engineering in medicine and biology magazine

VOLUME: 26

Page Numbers: 48-55

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ISSN: 0739-5175

DAY: 3

MONTH: 12

YEAR: 2007

Modeling human respiratory impedance. Comparing the best method with the least estimation errors. Information

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LANGUAGE: eng

NlmUniqueID: 8305985

Modeling human respiratory impedance. Comparing the best method with the least estimation errors. Keywords Mesh Terms:

KEYWORDS: Viscosity

MESH TERMS: methods

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Grant and Affiliation Information for Modeling human respiratory impedance. Comparing the best method with the least estimation errors.

AFFILIATION: Department of Engineering, Texas Christian University, Fort Worth, TX 76129, USA. b.diong@tcu.edu

Country: United States

AGENCY: United States NIEHS

GRANT: S11 ES013339-01A1

ACRONYM: ES

MEDLINETA: IEEE Eng Med Biol Mag

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