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.
authors.forename: Phillip
authors.initials: P
authors.lastname: Kuehl
authors.lastname: Chen Jia
authors.forename: Dana
authors.initials: D
authors.lastname: Gude
authors.forename: Ryan
authors.initials: R
authors.lastname: Broxterman
authors.forename: Thomas
authors.initials: T
authors.lastname: Barstow
authors.forename: Steve
authors.initials: S
authors.lastname: Warren
mesh_terms: D003627:Data Interpretation, Statistical; D004576:Electromyography; D016552:Ergometry; D006225:Hand / Q000502:physiology; D018737:Hand Strength; D006801:Humans; D018763:Muscle Fatigue / Q000502:physiology; D012815:Signal Processing, Computer-Assisted