Literature DB >> 22255058

A comparison of proportional control methods for pattern recognition control.

Ann M Simon1, Ken Stern, Levi J Hargrove.   

Abstract

Few studies have focused on proportional control with multi-channel electromyographic (EMG) pattern recognition systems. In a simple proportional control algorithm, movement speed is often calculated by averaging the mean absolute values of all EMG channels. The aim of our study was to compare the performance of two types of pattern recognition control (simple proportional and binary on/off) to direct proportional control. Six EMG channels were collected from non-targeted forearm muscles of four healthy subjects. Subjects were prompted to perform eight medium force isometric repetitions of the following contractions: wrist flexion/extension, wrist pronation/supination, hand open/close, and no movement (rest). Control performances were measured during a one-dimensional position-tracking task using a custom-made graphical user interface. The results show that a simple proportional control algorithm for the pattern recognition system outperformed binary on/off control and was comparable to the performance achieved with direct proportional control.

Mesh:

Year:  2011        PMID: 22255058     DOI: 10.1109/IEMBS.2011.6090909

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  7 in total

1.  Comparison of surface and intramuscular EMG pattern recognition for simultaneous wrist/hand motion classification.

Authors:  Lauren H Smith; Levi J Hargrove
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

2.  Myoelectric Control System and Task-Specific Characteristics Affect Voluntary Use of Simultaneous Control.

Authors:  Lauren H Smith; Todd A Kuiken; Levi J Hargrove
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-03-06       Impact factor: 3.802

3.  Training Strategies for Mitigating the Effect of Proportional Control on Classification in Pattern Recognition Based Myoelectric Control.

Authors:  Erik Scheme; Kevin Englehart
Journal:  J Prosthet Orthot       Date:  2013-04-01

4.  Understanding Limb Position and External Load Effects on Real-Time Pattern Recognition Control in Amputees.

Authors:  Yuni Teh; Levi J Hargrove
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-05-11       Impact factor: 3.802

Review 5.  Non-invasive control interfaces for intention detection in active movement-assistive devices.

Authors:  Joan Lobo-Prat; Peter N Kooren; Arno H A Stienen; Just L Herder; Bart F J M Koopman; Peter H Veltink
Journal:  J Neuroeng Rehabil       Date:  2014-12-17       Impact factor: 4.262

6.  Dimensionality analysis of forearm muscle activation for myoelectric control in transradial amputees.

Authors:  Alexander McClanahan; Matthew Moench; Qiushi Fu
Journal:  PLoS One       Date:  2020-12-03       Impact factor: 3.240

7.  A New Labeling Approach for Proportional Electromyographic Control.

Authors:  Annette Hagengruber; Ulrike Leipscher; Bjoern M Eskofier; Jörn Vogel
Journal:  Sensors (Basel)       Date:  2022-02-10       Impact factor: 3.576

  7 in total

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