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Performing gait phase detection on healthy and post-stroke subjects using joint angles derived from IMU sensor data

Wasser, Rens (2023) Performing gait phase detection on healthy and post-stroke subjects using joint angles derived from IMU sensor data.

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Abstract:Gait analysis performed with wearable and non-wearable sensors is necessary to evaluate gait for biomechanical research, clinical rehabilitation and physical performance optimization. By utilizing a setup consisting of only IMU, a method can be actualized that is non-intrusive, has comparatively low costs and can be used outside of lab-constrained environments. This thesis presents the utilization of a novel algorithm for the detection of gait events in both healthy and post-stroke subjects, using key points in joint angles derived from IMU data. In addition, it was attempted to use data from one leg to estimate gait events from the contralateral leg. IMU and GRF data from three healthy subjects recorded at 0.9, 1.8, 2.7, and 3.6 km/h, and two post-stroke subjects recorded at a self-selected comfortable speed and their fastest walking speed were utilized for evaluation of the algorithm. Joint angles of the hip, knee, and ankle were computed utilizing Opensim. IMU-derived time points were compared with the reference data obtained from the GRF, and calculated in the form of offset and RMSE. Results showed that at 0.9 and 1.8 km/h, the algorithm did not calculate accurate enough time points to be valid. At speeds 2.7 and 3.6 km/h, the methodology showed better results, with an offset and RMSE that were often lower than 60 ms. For post-stroke subjects, the algorithm did not perform up to standards for both walking speeds, due to high offset and RMSE. It was concluded that the utilized algorithm did not perform to the standards of clinical gait detection. However, it has shown that there is potential in IMU-based setups that utilize joint angles for gait phase detection.
Item Type:Essay (Bachelor)
Faculty:TNW: Science and Technology
Subject:01 general works
Programme:Biomedical Technology BSc (56226)
Link to this item:https://purl.utwente.nl/essays/98182
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