Data of the paper: The efficacy of different torque profiles for weight compensation of the hand

doi:10.4121/71912bfe-81ad-4e9f-ad92-30a430594f69.v1
The doi 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: 10.4121/71912bfe-81ad-4e9f-ad92-30a430594f69
Datacite citation style:
van der Burgh, Bas; Filius, Suzanne J.; Radaelli, Giuseppe; Harlaar, Jaap (2023): Data of the paper: The efficacy of different torque profiles for weight compensation of the hand. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/71912bfe-81ad-4e9f-ad92-30a430594f69.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

The surface electromyography data of the m. extensor carpi radialis and m. flexor carpi radialis during a comparison study of 3 different weight compensation strategies of the hand and additional descriptive data (incl. age, gender, hand dominance, wrist injury) and biometric data (incl. body weight, body length, segment measures: mass, length, width, volume, and circumference) of the 9 participants' lower arm and hand.

history
  • 2023-06-29 first online, published, posted
publisher
4TU.ResearchData
format
.csv; .xlsx; .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
Delft University of Technology (TU Delft), Faculty of Mechanical, Maritime and Materials Engineering (3mE), Department of Biomechanical Engineering

DATA - restricted access

Reason

The dataset is restricted because the key document is kept for 10 years and thus is the data still pseudoanonymized. The participant gave written informed consent that pseudoanonymized data would only be shared on the 4TU.ResearchData with restricted access.

End User Licence Agreement

In consultation with the authors the users are allowed to use the data for replication of the study results, future research and learning purposes.

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