Name
Title | ||
|---|---|---|
An open and configurable embedded system for EMG pattern recognition implementation for artificial arms. |
Abstract | ||
|---|---|---|
Pattern recognition (PR) based on electromyographic (EMG) signals has been developed for multifunctional artificial arms for decades. However, assessment of EMG PR control for daily prosthesis use is still limited. One of the major barriers is the lack of a portable and configurable embedded system to implement the EMG PR control. This paper aimed to design an open and configurable embedded system for EMG PR implementation so that researchers can easily modify and optimize the control algorithms upon our designed platform and test the EMG PR control outside of the lab environments. The open platform was built on an open source embedded Linux Operating System running a high-performance Gumstix board. Both the hardware and software system framework were openly designed. The system was highly flexible in terms of number of inputs/outputs and calibration interfaces used. Such flexibility enabled easy integration of our embedded system with different types of commercialized or prototypic artificial arms. Thus far, our system was portable for take-home use. Additionally, compared with previously reported embedded systems for EMG PR implementation, our system demonstrated improved processing efficiency and high system precision. Our long-term goals are (1) to develop a wearable and practical EMG PR-based control for multifunctional artificial arms, and (2) to quantify the benefits of EMG PR-based control over conventional myoelectric prosthesis control in a home setting. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/EMBC.2014.6944524 | EMBC |
Keywords | Field | DocType |
embedded system integration,pattern recognition,electromyographic signals,designed platform,calibration interfaces,emg pattern recognition,artificial limbs,multifunctional artificial arms,conventional myoelectric prosthesis control,emg pr control assessment,medical signal processing,hardware system framework,emg pr implementation,high-performance gumstix board,open system,open source,system precision,embedded system,flexibility,prototypic artificial arms,open and configurable design,artificial arms,practical emg pr-based control,daily prosthesis use,electromyography,wearable emg pr-based control,open platform,embedded systems,emg pattern recognition implementation,configurable embedded system,software system framework,control algorithms,lab environments,home setting,linux operating system,portable system,real time systems,control systems | Control algorithm,Open platform,Pattern recognition,Computer science,Wearable computer,Software system,Prosthesis use,Artificial intelligence,Control system,Computer hardware,Artificial Arms,Embedded system | Conference |
Volume | ISSN | Citations |
2014 | 1557-170X | 2 |
PageRank | References | Authors |
0.42 | 2 | 3 |