Literature DB >> 7552765

Mechanical efficiency in athletes during running.

H Kyröläinen1, P V Komi, A Belli.   

Abstract

The purpose of this study was to compare the external mechanical efficiency (ME) between power-trained athletes (n = 5) and endurance-trained athletes (n = 5). The relationships between biomechanical variables and metabolic cost were also investigated. The subjects ran at 3 different speeds (2.50 m.s-1, 3.25 m.s-1 and 4.00 m.s-1) both on the treadmill and on the track. The external work of the subjects was determined by a kinematic arm, and energy expenditure was determined by measuring oxygen consumption and respiratory exchange ratio. Biomechanical parameters included ground reaction forces, angular displacements of the knee and ankle joints and electromyography (EMG) of the selected muscles. The mean ME (+/- SD) values during running on treadmill were as follows: 49.6 +/- 8.9%, 60.1 +/- 9.6% and 61.2 +/- 10.4% for the endurance group, and 47.1 +/- 3.7%, 52.0 +/- 4.3% and 57.4 +/- 5.5% for the power group. In running on the track the respective values were 57.5 +/- 11.9%, 51.5 +/- 6.1% and 62.2 +/- 9.2% for the endurance group, and 47.0 +/- 8.3%, 45.3 +/- 10.2% and 60.0 +/- 5.9% for the power group. The subject groups did not differ significantly in ME due to high interindividual variance among both subject groups. The metabolic responses such as heart rate, pulmonary ventilation and oxygen uptake differed clearly between the athletic groups but this was not the case for the most of the biomechanical variables (such as EMG, step length and vertical displacement of the centre of the gravity).(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1995        PMID: 7552765     DOI: 10.1111/j.1600-0838.1995.tb00036.x

Source DB:  PubMed          Journal:  Scand J Med Sci Sports        ISSN: 0905-7188            Impact factor:   4.221


  5 in total

1.  Muscle coactivation before and after the impact phase of running following isokinetic fatigue.

Authors:  Eleftherios Kellis; Andreas Zafeiridis; Ioannis G Amiridis
Journal:  J Athl Train       Date:  2011 Jan-Feb       Impact factor: 2.860

2.  Variability in the Aerobic Fitness-Related Dependence on Respiratory Processes During Muscle Work Is Associated With the ACE-I/D Genotype.

Authors:  Benedikt Gasser; Annika Frei; David Niederseer; Silvio Catuogno; Walter O Frey; Martin Flück
Journal:  Front Sports Act Living       Date:  2022-05-19

Review 3.  The effectiveness of FES-evoked EMG potentials to assess muscle force and fatigue in individuals with spinal cord injury.

Authors:  Morufu Olusola Ibitoye; Eduardo H Estigoni; Nur Azah Hamzaid; Ahmad Khairi Abdul Wahab; Glen M Davis
Journal:  Sensors (Basel)       Date:  2014-07-14       Impact factor: 3.576

4.  The effect of test modality on dynamic exercise biomarkers in children, adolescents, and young adults.

Authors:  Ronen Bar-Yoseph; Janos Porszasz; Shlomit Radom-Aizik; Annamarie Stehli; Pearl Law; Dan M Cooper
Journal:  Physiol Rep       Date:  2019-07

5.  Using Deep Learning for Task and Tremor Type Classification in People with Parkinson's Disease.

Authors:  Ghazal Farhani; Yue Zhou; Mary E Jenkins; Michael D Naish; Ana Luisa Trejos
Journal:  Sensors (Basel)       Date:  2022-09-27       Impact factor: 3.847

  5 in total

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