DocumentCode :
141062
Title :
Real-time processing of electromyograms in an automated hand-forearm ergometer data collection and analysis system
Author :
Kuehl, Phillip ; Chen Jia ; Gude, Dana ; Broxterman, Ryan ; Barstow, Thomas ; Warren, Steve
Author_Institution :
Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
5756
Lastpage :
5759
Abstract :
An automated hand-forearm ergometer with realtime data analysis would be a helpful tool to evaluate muscle fatigue mid-experiment, offering insights into changes in electromyogram parameters that can be used to track fatigue in the hand and forearm musculature. This work presents real-time additions to a custom, automated hand-forearm ergometer that will perform mid-experiment signal processing and help to identify fatigue onset and predict task failure.
Keywords :
biomechanics; electromyography; fatigue; medical signal processing; analysis system; automated hand-forearm ergometer data collection; electromyogram parameter; fatigue onset; forearm musculature; hand musculature; mid-experiment signal processing; muscle fatigue mid-experiment; real-time data analysis; real-time processing; task failure prediction; Data acquisition; Data collection; Electromyography; Fatigue; Force; Real-time systems; Sensors; LabVIEW; electromyogram; hand-forearm ergometer; handgrip ergometer; muscle fatigue;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944935
Filename :
6944935
Link To Document :
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