Literature DB >> 24725708

The effect of signal acquisition and processing choices on ApEn values: towards a "gold standard" for distinguishing effort levels from isometric force records.

Sarah M Forrest1, John H Challis2, Samantha L Winter3.   

Abstract

Approximate entropy (ApEn) is frequently used to identify changes in the complexity of isometric force records with ageing and disease. Different signal acquisition and processing parameters have been used, making comparison or confirmation of results difficult. This study determined the effect of sampling and parameter choices by examining changes in ApEn values across a range of submaximal isometric contractions of the first dorsal interosseus. Reducing the sample rate by decimation changed both the value and pattern of ApEn values dramatically. The pattern of ApEn values across the range of effort levels was not sensitive to the filter cut-off frequency, or the criterion used to extract the section of data for analysis. The complexity increased with increasing effort levels using a fixed 'r' value (which accounts for measurement noise) but decreased with increasing effort level when 'r' was set to 0.1 of the standard deviation of force. It is recommended isometric force records are sampled at frequencies >200Hz, template length ('m') is set to 2, and 'r' set to measurement system noise or 0.1SD depending on physiological process to be distinguished. It is demonstrated that changes in ApEn across effort levels are related to changes in force gradation strategy.
Copyright © 2014 IPEM. Published by Elsevier Ltd. All rights reserved.

Keywords:  Complexity; First dorsal interosseus; Isometric muscle force

Mesh:

Year:  2014        PMID: 24725708     DOI: 10.1016/j.medengphy.2014.02.017

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  7 in total

1.  Fatigue reduces the complexity of knee extensor torque fluctuations during maximal and submaximal intermittent isometric contractions in man.

Authors:  Jamie Pethick; Samantha L Winter; Mark Burnley
Journal:  J Physiol       Date:  2015-02-09       Impact factor: 5.182

2.  Effect of parameter selection on entropy calculation for long walking trials.

Authors:  Jennifer M Yentes; William Denton; John McCamley; Peter C Raffalt; Kendra K Schmid
Journal:  Gait Posture       Date:  2017-11-28       Impact factor: 2.840

3.  Complexity of knee extensor torque in patients with frailty syndrome: a cross-sectional study.

Authors:  Bianca Ferdin Carnavale; Elie Fiogbé; Ana Claudia Silva Farche; Aparecida Maria Catai; Alberto Porta; Anielle Cristhine de Medeiros Takahashi
Journal:  Braz J Phys Ther       Date:  2018-12-20       Impact factor: 3.377

4.  Educational Psychology Analysis Method for Extracting Students' Facial Information Based on Image Big Data.

Authors:  Maoyue Zhang
Journal:  Occup Ther Int       Date:  2022-05-11       Impact factor: 1.565

5.  Effects of online-bandwidth visual feedback on unilateral force control capabilities.

Authors:  Joon Ho Lee; Nyeonju Kang
Journal:  PLoS One       Date:  2020-09-17       Impact factor: 3.240

6.  Relationship between muscle metabolic rate and muscle torque complexity during fatiguing intermittent isometric contractions in humans.

Authors:  Jamie Pethick; Samantha L Winter; Mark Burnley
Journal:  Physiol Rep       Date:  2019-09

7.  Shoulder movement complexity in the aging shoulder: A cross-sectional analysis and reliability assessment.

Authors:  Celeste L Overbeek; Timon H Geurkink; Fleur A de Groot; Ilse Klop; Jochem Nagels; Rob G H H Nelissen; Jurriaan H de Groot
Journal:  J Orthop Res       Date:  2020-12-08       Impact factor: 3.494

  7 in total

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