Sensorless Suction Recognition in the Self-Regulating Cleveland Clinic Continuous-Flow Total Artificial Heart. Issue 6 (November 2015)

• Record Type: Journal Article
• Authors: Horvath, David; Karimov, Jamshid H.; Byram, Nicole; Kuban, Barry; Golding, Leonard A.R.; Moazami, Nader; Fukamachi, Kiyotaka
• Is Part Of: ASAIO journal. Volume 61:Issue 6(2015)
• Publication Date: 2015-11
• Subjects: hemodynamics -- waveform -- heart-assist devices; Artificial organs -- Periodicals; 617
• DOI: 10.1097/MAT.0000000000000263
• Languages: English
• ISSNs: 1058-2916

Abstract

Abstract : The Cleveland Clinic continuous-flow total artificial heart passively regulates itself in regard to the relative performance of systemic and pulmonary pumps. The system incorporates real-time monitoring to detect any indication of incipient left or right suction as input for automatic controller response. To recognize suction, the external controller compares the waveforms of modulating speed input and power feedback. Deviations in periodic waveforms indicate sudden changes to flow impedance, which are characteristic of suction events as the pump speed is modulating. Incipient suction is indicated within 3 seconds of being detected in the power wave form, allowing timely controller response before mean flow is affected. This article describes the results obtained from subjecting the system to severe hemodynamic manipulation during an acute study in a calf.