Gravity Compensation Method for Combined Accelerometer and Gyro Sensors Used in Cardiac Motion Measurements.

Autor: Krogh MR; The Intervention Center, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, 0372, Oslo, Norway.; Department of Informatics, University of Oslo, Gaustadallèen 23B, 0373, Oslo, Norway., Nghiem GM; Høgskolen i Buskerud og Vestfold, Raveien 215, 3184, Borre, Norway., Halvorsen PS; The Intervention Center, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, 0372, Oslo, Norway., Elle OJ; The Intervention Center, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, 0372, Oslo, Norway.; Department of Informatics, University of Oslo, Gaustadallèen 23B, 0373, Oslo, Norway., Grymyr OJ; The Intervention Center, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, 0372, Oslo, Norway., Hoff L; Høgskolen i Buskerud og Vestfold, Raveien 215, 3184, Borre, Norway., Remme EW; The Intervention Center, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, 0372, Oslo, Norway. espen.remme@medisin.uio.no.
Jazyk: angličtina
Zdroj: Annals of biomedical engineering [Ann Biomed Eng] 2017 May; Vol. 45 (5), pp. 1292-1304. Date of Electronic Publication: 2017 Jan 23.
DOI: 10.1007/s10439-017-1798-4
Abstrakt: A miniaturized accelerometer fixed to the heart can be used for monitoring of cardiac function. However, an accelerometer cannot differentiate between acceleration caused by motion and acceleration due to gravity. The accuracy of motion measurements is therefore dependent on how well the gravity component can be estimated and filtered from the measured signal. In this study we propose a new method for estimating the gravity, based on strapdown inertial navigation, using a combined accelerometer and gyro. The gyro was used to estimate the orientation of the gravity field and thereby remove it. We compared this method with two previously proposed gravity filtering methods in three experimental models using: (1) in silico computer simulated heart motion; (2) robot mimicked heart motion; and (3) in vivo measured motion on the heart in an animal model. The new method correlated excellently with the reference (r 2  > 0.93) and had a deviation from reference peak systolic displacement (6.3 ± 3.9 mm) below 0.2 ± 0.5 mm for the robot experiment model. The new method performed significantly better than the two previously proposed methods (p < 0.001). The results show that the proposed method using gyro can measure cardiac motion with high accuracy and performs better than existing methods for filtering the gravity component from the accelerometer signal.
Databáze: MEDLINE
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