DSP removal of respiratory trend in photoplethysmographic blood volume pulse measurements

Author

Vicente, L.M. ; Barreto, Alexandre B. ; Taberner, A.M.

Author_Institution

Dept. of Electr. Eng., Florida Int. Univ., Miami, FL, USA

fYear

1996

fDate

11-14 Apr 1996

Firstpage

96

Abstract

Three different digital signal processing algorithms for removing the respiratory trend from photoplethysmographic blood volume pulse (BVP) signals are investigated. The goal of this processing is to avoid the distortion introduced by the low-frequency trend contaminating the BVP signals recorded for the purpose of exercise evaluation. The three approaches are compared in terms of the improvement in signal-to-noise ratio (SNR) achieved and the preservation of the morphology of the BVP pulses, as both are important for the determination of indices derived from this signal

Keywords

Butterworth filters; FIR filters; adaptive filters; biomedical measurement; high-pass filters; infrared imaging; medical signal processing; patient monitoring; pneumodynamics; recursive filters; DSP removal; digital signal processing algorithms; exercise evaluation; infrared LED; morphology; photoplethysmographic blood volume pulse measurements; respiratory trend; signal-to-noise ratio; Blood; Cutoff frequency; Digital filters; Digital signal processing; Finite impulse response filter; IIR filters; Low-frequency noise; Noise cancellation; Nonlinear filters; Pulse measurements;

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon '96. Bringing Together Education, Science and Technology., Proceedings of the IEEE

Conference_Location

Tampa, FL

Print_ISBN

0-7803-3088-9

Type

conf

DOI

10.1109/SECON.1996.510034

Filename

510034