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: 10.4121/13642952

Ronald van 't Veld (2021): Data to produce the results of the publication: “Neurophysiological Validation of Simultaneous Intrinsic and Reflexive Joint Impedance Estimates”. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/13642952.v1

Dataset

• Biomedical Engineering

Electromyography, Joint resistance, Parallel-Cascade model, System identification, Validation

CC BY 4.0

• Code/Data underlying publication: Neurophysiological Validation of Simultaneous Intrinsic and Reflexive Joint Impedance Estimates

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Ronald van 't Veld

The work presents the neurophysiological validation of simultaneous intrinsic and reflexive joint impedance estimates. The simultaneous intrinsic and reflexive joint impedance parameters are estimated using an online parallel-cascade (PC) algorithm. The neurophysiological validation is performed by investigating the linear association of the PC algorithm estimations with EMG. The work was performed and presented within a clinical/rehabilitation context to support the use of the PC technology for people with joint hyper-resistance.

In short, the main goal of this paper is to perform a group-level neurophysiological validation of the PC system identification technique to support its clinical application.

• 2021-01-27 first online, published, posted

4TU.ResearchData

Neurophysiological Validation of Simultaneous Intrinsic and Reflexive Joint Impedance Estimates

• https://doi.org/10.4121/13642937

Department of Biomechanical Engineering, University of Twente, Enschede, The Netherlands