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Description
An automated rehabilitation device control system requires information about the patient's physiological condition. This is possible thanks to the use of biological feedback in the form of electromyography and surface signals (Surface Electromyography, SEMG).
The popularity of SEMG signals is due to the non-invasive method and the ability to quickly and precisely identify muscle function. The biosignal database was created during a series of upper limb rehabilitation exercises using specialized equipment. During the exercise, bioelectric activity of four muscles responsible for the movements and located in the surface layer were examined: elbow flexor of the wrist, radial flexor of the wrist, short palmar and long palmar.
Tools used to collect measurements
Dataset file
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.Example script for calculation:
https://github.com/antespi/s3md5
File details
- License:
-
open in new tab
CC BYAttribution - Raw data:
- Data contained in dataset was not processed.
Details
- Year of publication:
- 2020
- Verification date:
- 2020-12-17
- Creation date:
- 2017
- Dataset language:
- English
- Fields of science:
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- Automation, electronic and electrical engineering (Engineering and Technology)
- DOI:
- DOI ID 10.34808/9cz0-3837 open in new tab
- Verified by:
- Gdańsk University of Technology
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