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. 2024 Jun 9;14:13229. doi: 10.1038/s41598-024-63946-4

Figure 5.

Figure 5

Experimental set-up and data processing pipelines. (A) Two wearable motion sensors were placed on the wrists during the performance of upper-limb tasks and repositioned on the ankles when performing lower-limb tasks. An enlarged view of a motion sensor (Shimmer3 by Shimmer Research Ltd, Dublin, Ireland) and its reference system are also shown. (B) Sensor-based data feature analysis pipeline. The diagram illustrates the processing steps used to derive data feature projections from the raw motion sensor data when participants performed standardized motor tasks. (C) Gait spatio-temporal parameter analysis pipeline. The diagram depicts the steps of the algorithm used to extract gait spatio-temporal parameters from the raw motion sensor signals recorded during gait and visualize them via projections.