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Fig. 4 | Journal of NeuroEngineering and Rehabilitation

Fig. 4

From: Auto detection and segmentation of daily living activities during a Timed Up and Go task in people with Parkinson’s disease using multiple inertial sensors

Fig. 4

Comparison between the original and modified algorithms for the standing up and sitting down. a Using the original algorithms that were previously developed using healthy older adults, we were able to achieve high specificity and sensitivity during both the 5 and 10 m TUG. However, the trunk and thigh IMU were prone to false positive (FP) due to sway in the trunk and thigh while participants were sitting in the chair or during pre-posturing by PD participants to gain leverage before standing up. b The modified algorithms used the orientation data from the thigh and sacrum modules to calculate the angle of the hip(θ hip) to eliminate the FPs detected using the original algorithms. The angle was superimposed on the previous algorithms to eliminate the FPs and increase its accuracy to detect standing up and sitting down

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