A database of high-density surface electromyogram signals comprising 65 isometric hand gestures
Open Access
- 18 February 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Scientific Data
- Vol. 8 (1), 1-10
- https://doi.org/10.1038/s41597-021-00843-9
Abstract
Control of contemporary, multi-joint prosthetic hands is commonly realized by using electromyographic signals from the muscles remaining after amputation at the forearm level. Although this principle is trying to imitate the natural control structure where muscles control the joints of the hand, in practice, myoelectric control provides only basic hand functions to an amputee using a dexterous prosthesis. This study aims to provide an annotated database of high-density surface electromyographic signals to aid the efforts of designing robust and versatile electromyographic control interfaces for prosthetic hands. The electromyographic signals were recorded using 128 channels within two electrode grids positioned on the forearms of 20 able-bodied volunteers. The participants performed 65 different hand gestures in an isometric manner. The hand movements were strictly timed using an automated recording protocol which also synchronously recorded the electromyographic signals and hand joint forces. To assess the quality of the recorded signals several quantitative assessments were performed, such as frequency content analysis, channel crosstalk, and the detection of poor skin-electrode contacts.Funding Information
- Stiftelsen Promobilia (Olsson)
- EC | Horizon 2020 Framework Programme (687905, 687905)
- Vetenskapsrådet (2019-05601)
This publication has 30 references indexed in Scilit:
- Advancing Muscle-Computer Interfaces with High-Density ElectromyographyPublished by Association for Computing Machinery (ACM) ,2015
- Current state of digital signal processing in myoelectric interfaces and related applicationsBiomedical Signal Processing and Control, 2015
- Electromyography data for non-invasive naturally-controlled robotic hand prosthesesScientific Data, 2014
- BioPatRec: A modular research platform for the control of artificial limbs based on pattern recognition algorithmsSource Code for Biology and Medicine, 2013
- Upper-Limb ProstheticsAmerican Journal of Physical Medicine & Rehabilitation, 2007
- Changes in the surface EMG signal and the biomechanics of motion during a repetitive lifting taskIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2002
- Epidemiologic Overview of Individuals with Upper-Limb Loss and Their Reported Research PrioritiesJPO Journal of Prosthetics and Orthotics, 1996
- Reaction time and acoustic startle in normal human subjectsNeuroscience Letters, 1995
- A new strategy for multifunction myoelectric controlIEEE Transactions on Biomedical Engineering, 1993
- SIMPLE REACTION TIME TO FOCAL TRANSCRANIAL MAGNETIC STIMULATIONBrain, 1992