International Journal of Computing and Artificial Intelligence

P-ISSN: 2707-6571, E-ISSN: 2707-658X
Printed Journal   |   Refereed Journal   |   Peer Reviewed Journal

2022, Vol. 3, Issue 2, Part A

Biomedical devices calibration using an improved hybridized algorithm

Author(s): Senboyejo Temitope Anthony, Akanbi Lukman Olawale and Lawal Akeem Olaide

Abstract: IMUs, or inertial measuring units, are used in a variety of medical applications. The measurement accuracy of an IMU, however, might deteriorate with time, necessitating re-calibration. Tedaldi et al. offered an IMU calibration approach in their study from 2021 that doesn't call for expensive external precision equipment or laborious methods. As a result, the sensors may be re-calibrated by employees or end users without an advanced understanding of inertial measurement by positioning them in a variety of acceptable but loosely defined orientations. Adaptations for low noise accelerometers, a calibration assistance object, and packet loss correction for wireless calibration are just a few of the enhancements to Tedaldi's technique that we provide in this paper. On our custom-built IMU platform, we used the updated calibration technique, and we checked the consistency of the results across many calibration cycles. We examined how the calibration result accuracy declines when fewer calibration orientations are employed in order to reduce the time required for recalibration. We discovered that N=12 distinct orientations are enough to obtain a very successful calibration, and that adding additional orientations only slightly enhanced the calibration. Comparing this to Tedaldi's suggested range of 37 to 50 orientations, it is a huge improvement. As a result, we were able to shorten the time needed to calibrate a single IMU from about 5 minutes to less than 2 minutes without compromising any significant calibration accuracy.

DOI: 10.33545/27076571.2022.v3.i2a.57

Pages: 66-70 | Views: 156 | Downloads: 48

Download Full Article: Click Here
How to cite this article:
Senboyejo Temitope Anthony, Akanbi Lukman Olawale, Lawal Akeem Olaide. Biomedical devices calibration using an improved hybridized algorithm. Int J Comput Artif Intell 2022;3(2):66-70. DOI: 10.33545/27076571.2022.v3.i2a.57
International Journal of Computing and Artificial Intelligence
Call for book chapter