A database of high-density surface electromyogram signals comprising 65 isometric hand gestures

Nebojša Malešević; Alexander Olsson; Paulina Sager; Elin Andersson; Christian Cipriani; Marco Controzzi; Anders Björkman; Christian Antfolk

doi:10.1038/s41597-021-00843-9

Scientific Data (Feb 2021)

A database of high-density surface electromyogram signals comprising 65 isometric hand gestures

Nebojša Malešević,
Alexander Olsson,
Paulina Sager,
Elin Andersson,
Christian Cipriani,
Marco Controzzi,
Anders Björkman,
Christian Antfolk

Affiliations

Nebojša Malešević: Department of Biomedical Engineering, Faculty of Engineering, Lund University
Alexander Olsson: Department of Biomedical Engineering, Faculty of Engineering, Lund University
Paulina Sager: Department of Biomedical Engineering, Faculty of Engineering, Lund University
Elin Andersson: Department of Biomedical Engineering, Faculty of Engineering, Lund University
Christian Cipriani: The BioRobotics Institute, Scuola Superiore Sant’Anna
Marco Controzzi: The BioRobotics Institute, Scuola Superiore Sant’Anna
Anders Björkman: Department of Hand Surgery, Clinical Sciences, Sahlgrenska Academy, University of Gothenburg and Sahlgrenska University Hospital
Christian Antfolk: Department of Biomedical Engineering, Faculty of Engineering, Lund University

DOI: https://doi.org/10.1038/s41597-021-00843-9
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 10

Abstract

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Measurement(s) muscle electrophysiology trait Technology Type(s) electromyography • multi-electrode array system • strain gauges Factor Type(s) isometric hand gesture • electromyography Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13625828

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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