title: Modeling human respiratory impedance. Comparing the best method with the least estimation errors.
authors.affiliation: Department of Engineering, Texas Christian University, Fort Worth, TX 76129, USA. b.diong@tcu.edu
authors.forename: Bill
authors.initials: B
authors.lastname: Diong
authors.forename: Homayoun
authors.initials: H
authors.lastname: Nazeran
authors.forename: Patricia
authors.initials: P
authors.lastname: Nava
authors.forename: Michael
authors.initials: M
authors.lastname: Goldman
mesh_terms: D003198:Computer Simulation; D004548:Elasticity; D005260:Female; D006801:Humans; D016018:Least-Squares Analysis; D008170:Lung Compliance; D008173:Lung Diseases, Obstructive / Q000503:physiopathology*; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D010992:Plethysmography, Impedance / Q000379:methods*; D014783:Viscosity