Literature DB >> 3741078

Quantifying human muscle strength, endurance and fatigue.

H S Milner-Brown, M Mellenthin, R G Miller.   

Abstract

Physiologic methods have been developed to objectively quantify muscle strength, endurance, and fatigability. Isometric force and rectified/integrated electromyogram were simultaneously recorded during the three phases of a recording session: pre-fatigue, fatigue (1 min duration) and post-fatigue recovery (up to 10 min). Five parameters of muscle performance were computed: Maximum force (MF) exerted during isometric voluntary contraction (muscle strength); Force-time integral--area under force-time plot (endurance); Fatigue index (FI) (% reduction in MF); Neuromuscular efficiency (force/mV of EMG recruited), and Recovery time (RT). Normal values based on data from 20 normal subjects were determined for four muscles: index finger abductor, elbow flexors, knee extensors, and ankle dorsiflexors. Neuromuscular efficiency (NME) decreased significantly (20 to 70%) at the end of the fatigue phase; it generally increased to the pre-fatigue level in 2 to 10 min, during the recovery phase. The period needed to reach pre-fatigue level was referred to as RT. The elbow flexors had the highest mean FI (48%) and the longest RT (greater than 6 min); the ankle dorsiflexors had the lowest mean FI (34%) and the shortest RT (1.5 min). These methods have been used also to evaluate the effects of weight training in two patients with neuromuscular disorders.

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Year:  1986        PMID: 3741078

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  16 in total

1.  The effect of a fatiguing exercise by the index finger on single- and multi-finger force production tasks.

Authors:  F Danion; M L Latash; Z M Li; V M Zatsiorsky
Journal:  Exp Brain Res       Date:  2001-06       Impact factor: 1.972

2.  Influence of mental workload on muscle endurance, fatigue, and recovery during intermittent static work.

Authors:  Ranjana K Mehta; Michael J Agnew
Journal:  Eur J Appl Physiol       Date:  2011-12-06       Impact factor: 3.078

3.  Relationship between effort sense and ventilatory response to intense exercise performed with reduced muscle glycogen.

Authors:  Ryo Yamanaka; Takahiro Yunoki; Takuma Arimitsu; Chang-Shun Lian; Afroundeh Roghayyeh; Ryouta Matsuura; Tokuo Yano
Journal:  Eur J Appl Physiol       Date:  2011-10-01       Impact factor: 3.078

Review 4.  Muscle strength and its development. New perspectives.

Authors:  R M Enoka
Journal:  Sports Med       Date:  1988-09       Impact factor: 11.136

5.  M-wave modulation at relative levels of maximal voluntary contraction.

Authors:  A Nagata; J C Christianson
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1995

6.  EMG power spectrum as a measure of muscular fatigue at different levels of contraction.

Authors:  S Nagata; A B Arsenault; D Gagnon; G Smyth; P A Mathieu
Journal:  Med Biol Eng Comput       Date:  1990-07       Impact factor: 2.602

7.  Quadriceps function after exercise in patients with anterior cruciate ligament-reconstructed knees wearing knee braces.

Authors:  Alexis G Davis; Brian G Pietrosimone; Christopher D Ingersoll; Kelli Pugh; Joseph M Hart
Journal:  J Athl Train       Date:  2011 Nov-Dec       Impact factor: 2.860

8.  Rotator cuff fatigue and glenohumeral kinematics in participants without shoulder dysfunction.

Authors:  Deydre S Teyhen; Joseph M Miller; Tansy R Middag; Edward J Kane
Journal:  J Athl Train       Date:  2008 Jul-Aug       Impact factor: 2.860

9.  Duchenne muscular dystrophy quantification: a multivariate analysis of surface EMG.

Authors:  A Priez; J Duchene; F Goubel
Journal:  Med Biol Eng Comput       Date:  1992-05       Impact factor: 2.602

Review 10.  Postoperative fatigue.

Authors:  T Christensen; H Kehlet
Journal:  World J Surg       Date:  1993 Mar-Apr       Impact factor: 3.352

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