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Applying sensor calibration and minimizing gyroscopic drift of the Madgwick filter from IMU data from patients the first 24 hours after a DMEK

Brake, L.C.M. te (2024) Applying sensor calibration and minimizing gyroscopic drift of the Madgwick filter from IMU data from patients the first 24 hours after a DMEK.

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Abstract:DMEK is a treatment option for patients who suffer from Fuchs’ endothelial dystrophy. During the procedure, a part of the patient’s cornea is removed. The transplant is placed with an air bubble. During the first 24 hours after the surgery, patients are instructed to remain supine. The influence of this instruction on the risk of graft detachment is researched. This is done with an IMU placed on the forehead of the patient. The orientations of the head are retrieved from the IMU’s gyroscope and accelerometer data with the help of the Madgwick filter. After the use of this filter, a gyroscope drift is observable. This drift shows movement while the sensor is stationary. It was attempted to eliminate the drift using an IMU sensor calibration and a linear regression algorithm. The calibration has a significant impact on reducing the gyroscope drift. Additionally, the linear regression slightly reduces the gyroscope drift. Unfortunately, a slight drift was still visible in the yaw angles. When the linear regression model was applied to the patient data, it did not work. Thus, the linear regression model cannot be applied to patient data. Another filter which could be applied to eliminate the yaw drift is the NMNI filter.
Item Type:Essay (Bachelor)
Faculty:TNW: Science and Technology
Subject:44 medicine
Programme:Biomedical Technology BSc (56226)
Link to this item:https://purl.utwente.nl/essays/104699
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