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U-Limb: A multi-modal, multi-center database on arm motion control in healthy and post-stroke conditions.

Giuseppe AvertaFederica BarontiniVincenzo CatramboneSami HaddadinGiacomo HandjarasJeremia Philipp Oskar HeldTingli HuEike JakubowitzChristoph M KanzlerJohannes KühnOlivier LambercyAndrea LeoAlina ObermeierEmiliano RicciardiAnne SchwarzGaetano ValenzaAntonio BicchiMatteo Bianchi
Published in: GigaScience (2022)
This collection of signals consists of data from 91 able-bodied and 65 post-stroke participants and is organized at 3 levels: (i) upper limb daily living activities, during which kinematic and physiological signals (electromyography, electro-encephalography, and electrocardiography) were recorded; (ii) force-kinematic behavior during precise manipulation tasks with a haptic device; and (iii) brain activity during hand control using functional magnetic resonance imaging.
Keyphrases
  • upper limb
  • magnetic resonance imaging
  • high speed
  • electronic health record
  • physical activity
  • working memory
  • virtual reality
  • high resolution
  • mass spectrometry
  • artificial intelligence