A discriminant-analysis-based suction detection system for rotary blood pumps.
A new suction detection system for rotary blood pumps used in left ventricular assist devices is presented. The system can correctly classify pump flow patterns, based on a discriminant analysis (DA) model that combines several indices derived from the pump flow signal to make a decision about the pump status. The indices considered in this approach are frequency-, time-, and time-frequency-domain indices. The frequency-domain indices detect changes in the harmonic and subharmonic energy content of the pump flow signal when a suction event is occurring. The time-domain indices detect changes in pump flow pulsatility based on a beat-to-beat analysis of the pump flow and first derivative of pump flow. The time-frequency index can track variations in the standard deviation of the instantaneous frequency of the pump flow signal. These indices are combined in a DA decision system to generate a suction alarm. The proposed system has been tested in simulations and in-vivo experimental tests and produced satisfactory results.
Ferreira
Antonio
A
Department of Electrical Engineering, University of Pittsburgh, PA, USA.
Chen
Shaohui
S
Simaan
Marwan A
MA
Boston
J Robert
JR
Antaki
James F
JF
D000818:Animals; D001243:Assisted Circulation / Q000295:instrumentation* / Q000379:methods; D001698:Biomedical Engineering; D002417:Cattle; D003198:Computer Simulation; D016002:Discriminant Analysis; D004867:Equipment Design; D005583:Fourier Analysis; D006353:Heart-Assist Devices; D006439:Hemodynamics; D015233:Models, Statistical; D011673:Pulsatile Flow; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors