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 BianchiPublished 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.