PREDICTION OF LVAD FAILURE THROUGH MOTOR CURRENT WAVEFORM ANALYSIS

A new automatic cardiac output control algorithm for an implantable electromechanical total artificial heart (TAH) was developed based on the analysis of motor current waveform without using any transducer. The basic control requirements of an artificial heart can be described in terms of three features: preload sensitivity, afterload insensivity, and balanced ventricular output. In previous studies, transducers were used to acquire information on the hemodynamic states for automatic cardiac output control. However, such a control system has reliability problems with the sensors. We proposed a novel sensorless automatic cardiac output control algorithm (ACOCA) providing adequate cardiac output to the time-varying physiological demand without causing right atrial collapse, which is one of the critical problems in an active filling device. In vitro tests were performed on a mock circulatory system to assess the performance of the developed algorithm and the results show that the new algorithm satisfied the basic control requirements of the cardiac output response.

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Estimation of Left Ventricular Recovery Level Based on the Motor Current Waveform Analysis on Circulatory Support with Centrifugal Blood Pump

Artificial Organs ◽

10.1046/j.1525-1594.2001.06862.x ◽

2001 ◽

Vol 25 (9) ◽

pp. 713-718 ◽

Cited By ~ 10

Author(s):

K. Takahashi ◽

M. Uemura ◽

N. Watanabe ◽

K. Ohuchi ◽

M. Nakamura ◽

...

Keyword(s):

Left Ventricular ◽

Waveform Analysis ◽

Blood Pump ◽

Circulatory Support ◽

Current Waveform ◽

Centrifugal Blood Pump ◽

Motor Current ◽

Left Ventricular Recovery

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Automatic Control of the Implantable Centrifugal Blood Pump Based on Analysis of the Motor Current Waveform

Heart Replacement ◽

10.1201/b14731-52 ◽

2001 ◽

pp. 431-435

Author(s):

K Ouchi ◽

E Hatoh ◽

A Yuhki ◽

M Nakamura ◽

T Sakamoto ◽

...

Keyword(s):

Automatic Control ◽

Blood Pump ◽

Current Waveform ◽

Centrifugal Blood Pump ◽

Motor Current

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Module’s overheating assessment with the use of supply current waveform analysis

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.07.171 ◽

2018 ◽

Vol 51 (6) ◽

pp. 306-311

Author(s):

Damian Grzechca ◽

Paweł Rybka ◽

Sebastian Temich

Keyword(s):

Waveform Analysis ◽

Current Waveform ◽

Supply Current

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A Mahalanobis Distance Measurement Method to Analyze Current Waveform for Determining the Motor’s Quality Types

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.870.317 ◽

2017 ◽

Vol 870 ◽

pp. 317-322

Author(s):

Yun Chi Yeh ◽

Tsung Fu Chien ◽

Cheng Yuan Chang ◽

Tsui Shiun Chu

Keyword(s):

Mahalanobis Distance ◽

Classification Accuracy ◽

Measurement Method ◽

Signal Amplitude ◽

Distance Measurement ◽

Digital Converter ◽

Current Waveform ◽

Analog To Digital ◽

Motor Current ◽

Good Detection

This study proposes a Mahalanobis Distance Measurement (MDM) method to analyze current waveform for determining the motor’s quality types. The MDM method consists of three major stages: (i) the preprocessing stage which is for enlarging motor current waveforms’ amplitude and eliminating noises, and includes signal amplitude amplifier, filter circuit (eliminating noises), and analog-to-digital converter (ADC) parts, (ii) the qualitative features stage which is for qualitative feature selection on motor current waveforms, and (iii) the classification stage which is for determining motor quality types using the MDM method. It can recognize defective motors and their defective types in less than 0.5 second. In the experiment, the total classification accuracy (TCA) was approximately 99.03% in average. The proposed method has the advantages of good detection results, no complex mathematic computations, hi-speed, and hi-reliability.

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Developments for High-Speed Analysis of Diverse Ferrous Alloys

Applied Spectroscopy ◽

10.1366/0003702824639493 ◽

1982 ◽

Vol 36 (5) ◽

pp. 510-519 ◽

Cited By ~ 19

Author(s):

D. Neil Washburn ◽

John P. Walters

Keyword(s):

High Power ◽

Discharge Current ◽

High Speed ◽

Spectral Lines ◽

Analysis Time ◽

Waveform Analysis ◽

Current Waveform ◽

Ferrous Alloys ◽

Background Ratio ◽

High Speed Analysis

High-power positionally stabilized sparks were used to sample several types of ferrous alloys. The power was increased by sparking at repetition rates up to 1920 sparks/s and peak discharge currents up to 800 A. The signal/background ratios of several spectral lines were measured photographically and photoelectrically, while the power was varied and the number of coulombs held constant. The coulombs were measured by gated integration of the discharge current waveform. Analysis time decreased by a factor of 16 while the signal/background ratio for sample spectral lines decreased by a factor of 2.5.

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