Title :
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
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;
Conference_Titel :
Southeastcon '96. Bringing Together Education, Science and Technology., Proceedings of the IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-3088-9
DOI :
10.1109/SECON.1996.510034
