Real-time processing of electromyograms in an automated hand-forearm ergometer data collection and analysis system

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.

[1]  Steve Warren,et al.  Automated hand-forearm ergometer data collection system , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  L. Naylor,et al.  Comparison of forearm blood flow responses to incremental handgrip and cycle ergometer exercise: relative contribution of nitric oxide , 2005, The Journal of physiology.

[3]  T W Nolan,et al.  service Topic collections Notes , 2022 .

[4]  Markus Amann,et al.  Arterial oxygenation influences central motor output and exercise performance via effects on peripheral locomotor muscle fatigue in humans , 2006, The Journal of physiology.

[5]  Daniel R. Rogers,et al.  EMG-based muscle fatigue assessment during dynamic contractions using principal component analysis. , 2011, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[6]  Y. Ohira,et al.  Hemoconcentration during isotonic handgrip exercise. , 1977, Journal of applied physiology: respiratory, environmental and exercise physiology.

[7]  N. Maassen,et al.  The relationships between plasma potassium, muscle excitability and fatigue during voluntary exercise in humans , 2007, Experimental physiology.

[8]  Carlo J. De Luca,et al.  The Use of Surface Electromyography in Biomechanics , 1997 .

[9]  R. Hughson,et al.  Peripheral circulatory factors limit rate of increase in muscle O(2) uptake at onset of heavy exercise. , 2001, Journal of applied physiology.

[10]  Kevin B. Englehart,et al.  Fatigue estimation with a multivariable myoelectric mapping function , 2006, IEEE Transactions on Biomedical Engineering.

[11]  L. Arendt-Nielsen,et al.  The relationship between mean power frequency of the EMG spectrum and muscle fibre conduction velocity. , 1985, Electroencephalography and clinical neurophysiology.

[12]  Martin Vetterli,et al.  Fast Fourier transforms: a tutorial review and a state of the art , 1990 .

[13]  Miriam González-Izal,et al.  Electromyographic models to assess muscle fatigue. , 2012, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[14]  Michael J Joyner,et al.  Hyperbaric hyperoxia reduces exercising forearm blood flow in humans. , 2011, American journal of physiology. Heart and circulatory physiology.

[15]  C. D. De Luca,et al.  Myoelectric signal conduction velocity and spectral parameters: influence of force and time. , 1985, Journal of applied physiology.

[16]  M. Marina,et al.  Monitoring hand flexor fatigue in a 24-h motorcycle endurance race. , 2011, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[17]  Dana Maxine Gude.  Automated hand-forearm ergometer data acquisition and analysis system , 2013 .