Supplementary Data of Comparison of Lower Arm Weight and Passive Elbow Joint Impedance Compensation Strategies in Non-Disabled Participants

DOI:10.4121/fc5c31ea-b4ca-45bf-830b-f0e86ece95bf.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/fc5c31ea-b4ca-45bf-830b-f0e86ece95bf
Datacite citation style:
Filius, Suzanne J.; Janssen, Mariska M. H. P.; van der Kooij, Herman; Harlaar, Jaap (2024): Supplementary Data of Comparison of Lower Arm Weight and Passive Elbow Joint Impedance Compensation Strategies in Non-Disabled Participants. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/fc5c31ea-b4ca-45bf-830b-f0e86ece95bf.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Delft University of Technology logo

Time coverage

Data is collected in July of 2022 and should be stored until August 2032

Data of the paper Comparison of Lower Arm Weight and Passive Elbow Joint Impedance Compensation Strategies in Non-Disabled Participants. The data contains EMG of the m. Biceps Brachii and m. Triceps Brachii, the elbow joint angle, elbow joint torque, and force/torque sensor data. The data was recorded in 12 healthy male participants on two days. On the first day (session 1), the passive forces in the arm were measured while an elbow actuator moved the forearm through flexion and extension (approximately 80% of the elbow's range of motion). On the second day (session 2), the participants were asked to follow a sine signal with their elbow joint angle on a computer screen while the actuator provided randomized different strategies for weight compensation of the arm alone or weight and elbow joint impedance compensation. A more detailed description of the protocol can be found in the original paper.

The data is accompanied by the processing and analysis scripts created in Matlab R2021b.

History

  • 2024-10-09 first online, published, posted

Publisher

4TU.ResearchData

Format

.csv; .mat; .txt

Funding

  • This work is part of the research program Wearable Robotics with project number P16-05, which is (partly) funded by the Dutch Research Council (NWO).

Organizations

TU Delft, Faculty of Mechanical Engineering, Department of Biomechanical Engineering.

DATA - restricted access

Reason

The dataset contains pseudo-anonymized descriptive, biometric and EMG data. The participants have consented to share the data under restrictive access. Moreover, the processing files are shared under

End User Licence Agreement

The data can be used for research and learning, including different research objectives, but cannot be used commercially. All created software falls under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 licence.

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