title: A novel algorithm to estimate the pulse pressure variation index deltaPP.
abstract: We designed a new methodology to estimate the pulse pressure variation index (deltaPP) in arterial blood pressure (ABP). The method uses automatic detection algorithms, kernel smoothing, and rank-order filters to continuously estimate deltaPP. The technique can be used to estimate deltaPP from ABP alone, eliminating the need for simultaneously acquiring airway pressure.
authors.affiliation: Biomedical Signal Processing Laboratory, Department of Electrical and Computer Engineering at Portland State University, 1900 SW 4th Ave., Portland, OR 97201, USA. mateoaboy@ieee.org
authors.forename: Mateo
authors.initials: M
authors.lastname: Aboy
authors.forename: James
authors.initials: J
authors.lastname: McNames
authors.forename: Tran
authors.initials: T
authors.lastname: Thong
authors.forename: Charles R
authors.initials: CR
authors.lastname: Phillips
authors.forename: Miles S
authors.initials: MS
authors.lastname: Ellenby
authors.forename: Brahm
authors.initials: B
authors.lastname: Goldstein
mesh_terms: D000465:Algorithms; D001794:Blood Pressure / Q000502:physiology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D011673:Pulsatile Flow / Q000502:physiology*