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Complex Upper-Limb Movements

Paolo Bonato

Published: Aug. 30, 2018. Version: 1.0.0

New Database Added

CULM (Aug. 30, 2018)

The Complex Upper-Limb Movements database contains hand trajectory data from ten subjects undergoing writing tasks, used to model motor primitives.

Citation

Jose Garcia Vivas Miranda, Jean-François Daneault, Gloria Vergara-Diaz, Ângelo Frederico Souza de Oliveira e Torres, Ana Paula Quixadá, Marcus de Lemos Fonseca, João Paulo Bomfim Cruz Vieira, Vitor Sotero dos Santos, Thiago Cruz da Figueiredo, Elen Beatriz Pinto, Norberto Peña & Paolo Bonato (2018). Complex Upper-Limb Movements Are Generated by Combining Motor Primitives that Scale with the Movement Size. Scientific Reports. 8(1). DOI:10.1038/s41598-018-29470-y

Please include the standard citation for PhysioNet:

Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation, 101 (23), pp. e215–e220.

Introduction

The Complex Upper-Limb Movements database contains hand trajectory data collected from ten subjects as they performed various upper-limb motor tasks. The data was used in the above-referenced manuscript to identify the motor primitives contributing to the observed motor patterns.

Background

The hand trajectory of motion during the performance of one-dimensional point-to-point movements has been shown to be marked by motor primitives with a bell-shaped velocity profile.

This study examined upper-limb movements by analyzing movement components based on a Cartesian coordinate system with axes oriented in the medio-lateral, antero-posterior, and vertical directions.

Ten healthy subjects (7 males; 26.4±4.52 years of age; 9 right-handed) with no known neurological or orthopedic conditions participated. The study was approved by the Institutional Review Board of Spaulding Rehabilitation Hospital. The dataset was collected in the Motion Analysis Lab at Spaulding Rehabilitation Hospital.

Data Collection

Subjects performed a battery of upper-limb motor tasks. A camera-based motion capture system (VICON, Oxford UK) was used to collect data. The software reconstructed the 3D position of a reflective marker to represent hand trajectory.

Files

Each .csv file contains four columns: time (seconds), and x-, y-, and z-coordinates (meters) of the reflective marker representing hand movement. Different tasks use the following filenames:

  • BostonCA – Writing "Boston" in capital letters
  • BostonCU – Writing "Boston" in cursive letters
  • HarvardCA – Writing "Harvard" in capital letters
  • HarvardCU – Writing "Harvard" in cursive letters
  • Can – 3D arm movements to reach and transport a soda can
  • Circle – Drawing circles
  • Ellipse – Drawing ellipses
  • Flower – Drawing a pure frequency curve (v = 4/3)
  • Spiral – Drawing a pure frequency curve (v = 0)
  • SuperMegaCloud – Drawing a pure frequency curve (v = 4/5)
  • Triangle – Drawing a pure frequency curve (v = 3)
  • Planned – 2D planned movements (with target)
  • Unplanned – 2D unplanned movements (without target)
  • Randomness – 3D random movements

Contact

For more information about the experimental protocol, please contact: