Name
Title | ||
|---|---|---|
Real-time processing of electromyograms in an automated hand-forearm ergometer data collection and analysis system. |
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/EMBC.2014.6944935 | EMBC |
Keywords | DocType | Volume |
analysis system,handgrip ergometer,biomechanics,labview,automated hand-forearm ergometer data collection,fatigue onset,muscle fatigue mid-experiment,medical signal processing,fatigue,mid-experiment signal processing,muscle fatigue,electromyogram parameter,electromyography,electromyogram,forearm musculature,hand-forearm ergometer,real-time processing,hand musculature,task failure prediction,real-time data analysis | Conference | 2014 |
ISSN | Citations | PageRank |
1557-170X | 0 | 0.34 |
References | Authors | |
2 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Phillip Kuehl | 1 | 0 | 0.68 |
| Chen Jia | 2 | 13 | 3.82 |
| Dana Gude | 3 | 0 | 0.34 |
| Ryan Broxterman | 4 | 1 | 0.82 |
| Thomas Barstow | 5 | 1 | 0.82 |
| Steve Warren | 6 | 51 | 11.42 |