The Meaning of the Turning Point of the Index of Motor Current Amplitude Curve in Controlling a Continuous Flow Pump or Evaluation of Left Ventricular Function

Endo, George; Kojima, Kazushi; Nakamura, Kunihide; Matsuzaki, Yasunori; Onitsuka, Toshio

doi:10.1046/j.1525-1594.2003.69961.x

Cited by 7 publications

(5 citation statements)

References 18 publications

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“…Methods of pumping state discrimination based on the proposed indicators vary from simple threshold analysis (Endo et al 2001, Tanaka et al 2005, Yuhki et al 1999, Oshikawa et al 2000, Ohuchi et al 2001, to more complicated approaches such as Bayesian methods (Boston et al 2000), fuzzy logic (Boston et al 2000a, 2000b, Dempster-Shafer theory (Boston et al 2000a), artificial neural networks (Stöcklmayer et al 1995) and multiple discriminant criteria (Ferreira et al 2006). Results obtained by Endo et al (2001Endo et al ( , 2002Endo et al ( , 2003 showed that the index of motor current amplitude (ICA) has feasibility in continuous flow VAD control. They showed that ICA can demonstrate the safe range of pump speed, which exists between the starting point of total assistance and the starting point of sucking.…”

Section: Abnormal Pumping States Limit Controlmentioning

confidence: 99%

Developments in control systems for rotary left ventricular assist devices for heart failure patients: a review

AlOmari¹,

Savkin²,

Stevens³

et al. 2012

Physiol. Meas.

107

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From the moment of creation to the moment of death, the heart works tirelessly to circulate blood, being a critical organ to sustain life. As a non-stopping pumping machine, it operates continuously to pump blood through our bodies to supply all cells with oxygen and necessary nutrients. When the heart fails, the supplement of blood to the body's organs to meet metabolic demands will deteriorate. The treatment of the participating causes is the ideal approach to treat heart failure (HF). As this often cannot be done effectively, the medical management of HF is a difficult challenge. Implantable rotary blood pumps (IRBPs) have the potential to become a viable long-term treatment option for bridging to heart transplantation or destination therapy. This increases the potential for the patients to leave the hospital and resume normal lives. Control of IRBPs is one of the most important design goals in providing long-term alternative treatment for HF patients. Over the years, many control algorithms including invasive and non-invasive techniques have been developed in the hope of physiologically and adaptively controlling left ventricular assist devices and thus avoiding such undesired pumping states as left ventricular collapse caused by suction. In this paper, we aim to provide a comprehensive review of the developments of control systems and techniques that have been applied to control IRBPs.

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Section: Abnormal Pumping States Limit Controlmentioning

confidence: 99%

Developments in control systems for rotary left ventricular assist devices for heart failure patients: a review

AlOmari¹,

Savkin²,

Stevens³

et al. 2012

Physiol. Meas.

107

View full text Add to dashboard Cite

show abstract

“…G.J. Endo et al of Miyazaki Medical College (Kiyotake Miyazaki, Japan) investigated the turning point (t‐point) index of motor current amplitude (ICA) and flow rate (20). They showed that by detection of the t‐point of the ICA curve and measuring or estimating pump flow at the t‐point, the cardiac output may be assessed without sensors making ICA a possible mode of control of a continuous flow ventricular assist device.…”

Section: Artificial Hearts Ventricular Assist Devices and Rotary Blmentioning

confidence: 99%

Artificial Organs 2003: A Year in Review

Malchesky¹

2004

Artificial Organs

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“…The earliest studies by Ayre et al [8] and Endo et al [21] proposed the state transition index and the index of motor current amplitude respectively. Bishop et al [22] proposed the use of a modified Karhunen-Loève transformation using time domain features in the analysis of aortic valve opening.…”

Section: Introductionmentioning

confidence: 99%

Classification of Implantable Rotary Blood Pump States With Class Noise

Ooi

Seera

et al. 2016

IEEE J. Biomed. Health Inform.

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A medical case study related to implantable rotary blood pumps is examined. Five classifiers and two ensemble classifiers are applied to process the signals collected from the pumps for the identification of the aortic valve nonopening pump state. In addition to the noise-free datasets, up to 40% class noise has been added to the signals to evaluate the classification performance when mislabeling is present in the classifier training set. In order to ensure a reliable diagnostic model for the identification of the pump states, classifications performed with and without class noise are evaluated. The multilayer perceptron emerged as the best performing classifier for pump state detection due to its high accuracy as well as robustness against class noise.

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The Meaning of the Turning Point of the Index of Motor Current Amplitude Curve in Controlling a Continuous Flow Pump or Evaluation of Left Ventricular Function

Cited by 7 publications

References 18 publications

Developments in control systems for rotary left ventricular assist devices for heart failure patients: a review

Developments in control systems for rotary left ventricular assist devices for heart failure patients: a review

Artificial Organs 2003: A Year in Review

Classification of Implantable Rotary Blood Pump States With Class Noise

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