ArticleGigaScience2021
U-Limb: A multi-modal, multi-center database on arm motion control in healthy and post-stroke conditions.
Article in GigaScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- A review on finite element modelling of finger and hand mechanical behaviour in haptic interactions.Biomechanics and modeling in mechanobiology · 2025Review
- Alterations of upper-extremity functional muscle networks in chronic stroke survivors.Experimental brain research · 2024Article
- 3D-ARM-Gaze: a public dataset of 3D Arm Reaching Movements with Gaze information in virtual reality.Scientific data · 2024Article
- PSA-FL-CDM: A Novel Federated Learning-Based Consensus Model for Post-Stroke Assessment.Sensors (Basel, Switzerland) · 2024Article
- Intracortical brain-heart interplay: An EEG model source study of sympathovagal changes.Human brain mapping · 2024Article
- Dissecting muscle synergies in the task space.eLife · 2024Article
- Article
- Automatic Post-Stroke Severity Assessment Using Novel Unsupervised Consensus Learning for Wearable and Camera-Based Sensor Datasets.Sensors (Basel, Switzerland) · 2023Article
- A Multi-Modal Under-Sensorized Wearable System for Optimal Kinematic and Muscular Tracking of Human Upper Limb Motion.Sensors (Basel, Switzerland) · 2023Article
- Integrated software for multi-dimensional analysis of motion using tracking, electrophysiology, and sensor signals.Frontiers in bioengineering and biotechnology · 2023Article
- A Decoding Prediction Model of Flexion and Extension of Left and Right Feet from Electroencephalogram.Behavioral sciences (Basel, Switzerland) · 2022Article
- A low-dimensional representation of arm movements and hand grip forces in post-stroke individuals.Scientific reports · 2022Article
- Characterization of stroke-related upper limb motor impairments across various upper limb activities by use of kinematic core set measures.Journal of neuroengineering and rehabilitation · 2022Article
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundShedding light on the neuroscientific mechanisms of human upper limb motor control, in both healthy and disease conditions (e.g., after a stroke), can help to devise effective tools for a quantitative evaluation of the impaired conditions, and to properly inform the rehabilitative process. Furthermore, the design and control of mechatronic devices can also benefit from such neuroscientific outcomes, with important implications for assistive and rehabilitation robotics and advanced human-machine interaction. To reach these goals, we believe that an exhaustive data collection on human behavior is a mandatory step. For this reason, we release U-Limb, a large, multi-modal, multi-center data collection on human upper limb movements, with the aim of fostering trans-disciplinary cross-fertilization. CONTRIBUTION: 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.
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