Paper Info
Title
An sEMG-based Interface to give People with Severe Muscular Atrophy control over Assistive Devices.
Abstract
Injuries, accidents, strokes, and other diseases can significantly degrade the capabilities to perform even the most simple activities in daily life. While assistive technology becomes more and more available to the people affected, there is still a big need for user interfaces suitable for people without functional hand movement. A large share of these cases involves neuromuscular diseases, which lead to severely reduced muscle function. However, even though affected people are no longer able to functionally move their limbs, residual muscle function can still be existent. Previous work has shown that this residual muscular activity can suffice, to create an EMG-based user interface, and e.g., allow for control of assistive devices. In this paper, we enhance this user interface with additional EMG-features and an improved training paradigm in order to increase information extraction from recordings of strongly atrophic muscles. The interface was tested and validated by subjects with severe spinal muscular atrophy. Results show that the used methods improve the decoding and thereby allow for a considerable increase in performance when controlling a robotic manipulator in a 3D reaching task.
Year
DOI
Venue
2018
10.1109/EMBC.2018.8512689
EMBC
Field
DocType
Volume
Computer vision,Computer science,Spinal muscular atrophy,Electromyography,Artificial intelligence,Atrophy,Physical medicine and rehabilitation,Robot manipulator,User interface
Conference
2018
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Jörn Vogel1116.48
Annette Hagengruber214.11