SEMG signal database for the automated upper limb rehabilitation process
收藏Most Wiedzy Open Research Data Catalog2026-04-17 收录
下载链接:
https://mostwiedzy.pl/en/open-research-data/semg-signal-database-for-the-automated-upper-limb-rehabilitation-process,626054133633514-0
下载链接
链接失效反馈官方服务:
资源简介:
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
提供机构:
Jacek Szkopek; Grzegorz Redlarski; Gustaw Rzyman



