Key result
A mathematical compensation method for varying gravity components improved the accuracy of cardiac accelerometer sensor measurements, yielding very good agreement with reference methods.
Why the study?
Does a mathematical compensation method improve the accuracy of cardiac accelerometer sensor measurements compared to reference methods in an animal model and robot arm?
Does a mathematical compensation method improve the accuracy of cardiac accelerometer sensor measurements compared to reference methods in an animal model and robot arm?
A novel mathematical compensation method improves the accuracy of cardiac accelerometer sensors for measuring myocardial motion, showing good agreement with reference methods in preclinical models.
Hypothesis-generating for compensated cardiac accelerometry; clinical translation requires human validation.
In this study we have investigated the accuracy of an accelerometer sensor designed for the measurement of cardiac motion and automatic detection of motion abnormalities caused by myocardial ischaemia. The accelerometer, attached to the left ventricular wall, changed its orientation relative to the direction of gravity during the cardiac cycle. This caused a varying gravity component in the measured acceleration signal that introduced an error in the calculation of myocardial motion. Circumferential displacement, velocity and rotation of the left ventricular apical region were calculated from the measured acceleration signal. We developed a mathematical method to separate translational and gravitational acceleration components based on a priori assumptions of myocardial motion. The accuracy of the measured motion was investigated by comparison with known motion of a robot arm programmed to move like the heart wall. The accuracy was also investigated in an animal study. The sensor measurements were compared with simultaneously recorded motion from a robot arm attached next to the sensor on the heart and with measured motion by echocardiography and a video camera. The developed compensation method for the varying gravity component improved the accuracy of the calculated velocity and displacement traces, giving very good agreement with the reference methods.
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Remme et al. (2009) studied Myocardial ischaemia. Cardiac accelerometer sensor with mathematical compensation method vs. Robot arm, echocardiography, and video camera was evaluated on Accuracy of calculated velocity and displacement traces. A mathematical compensation method for varying gravity components improved the accuracy of cardiac accelerometer sensor measurements, yielding very good agreement with reference methods.
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