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