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International Journal of Physical Education, Sports and Health 2017; 4(1): 135-140
P-ISSN: 2394-1685
E-ISSN: 2394-1693
Impact Factor (ISRA): 5.38
IJPESH 2017; 4(1): 135-140
© 2017 IJPESH
www.kheljournal.com
Received: 26-11-2016
Accepted: 27-12-2016
Ethan C Hill
Department of Nutrition and
Health Sciences, Human
Performance Laboratory
University of Nebraska-Lincoln
Lincoln, NE 68505, USA
Terry J Housh
Department of Nutrition and
Health Sciences, Human
Performance Laboratory
University of Nebraska-Lincoln
Lincoln, NE 68505, USA
Clayton L Camic
Department of Exercise & Sport
Science, University of Wisconsin-
La Crosse La Crosse, WI 54601
Cory M Smith
Department of Nutrition and
Health Sciences, Human
Performance Laboratory
University of Nebraska-Lincoln
Lincoln, NE 68505, USA
Joshua L Keller
Department of Nutrition and
Health Sciences, Human
Performance Laboratory
University of Nebraska-Lincoln
Lincoln, NE 68505, USA
Richard J Schmidt
Department of Nutrition and
Health Sciences, Human
Performance Laboratory
University of Nebraska-Lincoln
Lincoln, NE 68505, USA
Glen O Johnson
Department of Nutrition and
Health Sciences, Human
Performance Laboratory
University of Nebraska-Lincoln
Lincoln, NE 68505, USA
Correspondence
Ethan C Hill
Department of Nutrition and
Health Sciences, Human
Performance Laboratory
University of Nebraska-Lincoln
Lincoln, NE 68505, USA
Electromechanical efficiency tracks eccentric torque
production
Ethan C Hill, Terry J Housh, Clayton L Camic, Cory M Smith, Joshua L
Keller, Richard J Schmidt and Glen O Johnson
Abstract
It has been suggested that electromechanical efficiency may be useful for detecting changes in muscle
function as it provides a direct measurement from the muscle being investigated. No previous
investigations, however, have examined electromechanical efficiency during fatiguing eccentric exercise.
Thus, the purpose of the present study was to examine electromechanical efficiency at velocities of 60°·s
-
1
and 180°·s
-1
during fatiguing, maximal eccentric muscle actions. Ten men performed 30 maximal
eccentric muscle actions of the leg extensors at 60°·s
-1
and 180°·s
-1
. Polynomial regression analyses were
used to examine the composite patterns of responses for eccentric torque, electromyographic amplitude,
mechanomyo graphic amplitude, and electromechanical efficiency across the fatiguing protocols. There
were no significant relationships for torque or electromechanical efficiency across either of the fatiguing
protocols. During the 60°·s
-1
protocol, however, electromyographic amplitude decreased linearly (r =
0.579) and mechanomyo graphic amplitude decreased quadratically (R = 0.438), while there were no
changes during the 180°·s
-1
protocol. These findings indicated that electromechanical efficiency can be
applied to fatiguing eccentric exercise and tracks eccentric torque production despite divergent
electromyographic and mechanomyo graphic amplitude responses.
Keywords: Muscle lengthening, electromyography, muscle damage, motor control, isokinetic
1. Introduction
Surface electromyography (EMG) records and quantifies the action potentials that activate
skeletal muscle fibers
[2]
. The amplitude of the EMG signal is generated by the summation of
the action potential trains from the active motor units and is influenced by the number of active
motor units, their firing rates, and synchronization
[2, 3]
. The power spectrum of the EMG
signal is, in part, determined by average muscle fiber action potential conduction velocity
[4]
and the shape of the action potential waveforms
[5]
. Mechanomyography (MMG) is a non-
invasive technique that has been described as the mechanical counterpart of motor unit activity
as measured by EMG
[6]
. It has been suggested that the amplitude of the MMG signal is
influenced by motor unit recruitment and the frequency content of the MMG signal is
qualitatively related to motor unit firing rate
[7, 9]
.
The simultaneous measurements of EMG and MMG have been used to examine various
aspects of muscle function including electromechanical and phonomechanical delay
[10]
,
muscle fiber type distribution patterns
[11]
, muscle atrophy
[12]
, and excitation-contraction
coupling associated with muscle fatigue
[13]
. EMG and MMG measurements have also been
used in pediatric, adult, and geriatric populations to examine neuromuscular disorders such as
myotonic dystrophy
[14, 15]
, mandibular disorders
[16]
, low back pain
[17]
, cerebral palsy
[18]
, to
control prostheses
[1]
, and to examine patellofemoral pain
[19]
. For example, electrical
efficiency, originally described by Lenman
[20]
and deVries
[21]
, is an indirect assessment of
muscle function that is performed by plotting the integrated electrical activity (EMG) as a
function of force production. With regard to clinical and athletic populations, it has been
reported that electrical efficiency is lower in individuals with muscular disorders (i.e. muscular
dystrophy) relative to asymptomatic individuals
[20]
, and electrical efficiency decreases with
the development of muscle fatigue
[22]
, but electrical efficiency increases in response to
exercise training (improved muscle efficiency)
[20, 21]
. Barry et al,
[1]
suggested, however, that