Reducing IMU dynamic soft tissue artifacts with a soft tissue Kalman filter

Key Points

• To develop a method to minimize dynamic artifacts in soft tissue measurements using an IMU and Kalman filter.
• Developed a Kalman filter algorithm for motion data processing.
• Tested the algorithm on soft tissue dynamics.
• Analyzed the accuracy of the sensor measurements before and after the intervention.
• Significant reduction of artifacts in soft tissue measurements was observed.
• The Kalman filter improved data reliability for IMU readings.
• Enhanced accuracy in soft tissue motion tracking compared to standard methods.