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Title: Raw Data Corresponding To The Scientific Paper: "A Modular Telerehabilitation Architecture For Upper Limb Robotic Therapy" (Advances In Mechanical Engineering 2017, Vol. 9(1) 1-13)      
dateReleased:
03-08-2017
privacy:
information not avaiable
aggregation:
instance of dataset
dateCreated:
03-08-2017
refinement:
raw
ID:
doi:10.5281/ZENODO.375917
creators:
Simonetti, Davide
Zollo, Loredana
Vollero, Lucca
Iannello, Giulio
Gugliemelli, Eugenio
availability:
available
types:
other
description:
Acquired raw data necessary to implement the adaptive control strategy grounded on multimodal information.  In addition, raw data for the computation of the communication parameters needed for the assessment of the implemented telerehabilitation architecture are provided. a) End-effector positions and velocities (x, y, vx, vy) in three conditions: healthy (Fig 9) and constraint simulated stroke behaviour (Fig 10) without robotic assistance and simulated stroke behavior with robotic assistance (Fig 11) b) Performance indicators and control parameters for all the recruited subjects in both conditions healthy behaviour and simulated stroke behaviour (Fig 12a and Fig 12b) c) Computational values for evaluating telerehabilitation performance (Table 1)    
accessURL: https://doi.org/10.5281/ZENODO.375917
storedIn:
Zenodo
qualifier:
not compressed
format:
HTML
accessType:
landing page
authentication:
none
authorization:
none
abbreviation:
ZENODO
homePage: https://zenodo.org/
ID:
SCR:004129
name:
ZENODO

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