Literature DB >> 3607096

The effects of EMG biofeedback on strength acquisition.

R V Croce.   

Abstract

This study investigated the effectiveness of electromyographic (EMG) biofeedback in maximizing strength gains and integrated electromyographic (IEMG) levels of the quadriceps muscle group resulting from an isokinetic exercise program. Twenty-one male volunteers recruited from physical education classes at a large southwestern university were randomly assigned to one of the following three treatment groups: (1) a biofeedback (BF) trained group, (2) a deception (DEC) trained group, and (3) a nonfeedback (NF) trained group. Subjects were trained and tested for strength by extension on a Cybex Isokinetic Exercise Machine at a speed of 30 degrees per second. Training sessions were performed three times per week for five weeks; pretest and posttest data were based on the best score of three trials of a 1-RM maximum effort. A pretraining to posttraining comparison indicated significant increases in strength (p less than .001) and IEMG levels (p less than .001) for all treatment groups when a paired t test was applied to the data. A multivariate analysis of covariance (MANCOVA) revealed that the BF trained group showed significantly greater peak torque values than DEC and NF trained groups (p less than .01) and produced significantly greater IEMG levels than the NF trained group (p less than .05). Overall, these results were taken as supporting the hypothesis that a training program of combined isokinetics and EMG biofeedback produces significant gains in maximal force and IEMG activity of leg-extensor muscles.

Mesh:

Year:  1986        PMID: 3607096     DOI: 10.1007/bf01000166

Source DB:  PubMed          Journal:  Biofeedback Self Regul        ISSN: 0363-3586


  25 in total

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Authors:  P V Komi; E R Buskirk
Journal:  Electromyography       Date:  1970 Nov-Dec

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Journal:  Res Q       Date:  1967-03

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Authors:  P O'Shea
Journal:  Res Q       Date:  1966-03

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Authors:  P V Komi; J T Viitasalo; R Rauramaa; V Vihko
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1978-12-15

5.  Discharge patterns of motor units during increasingly strong contraction of the rectus femoris muscle depending on level of training and athletic specialization.

Authors:  Y S Saplinskas; M A Chobotas; I I Yashchaninas
Journal:  Hum Physiol       Date:  1979 Sep-Oct

6.  Electromyographic feedback: effects on voluntary muscle contractions in normal subjects.

Authors:  S J Middaugh; M C Miller; G Foster; M B Ferdon
Journal:  Arch Phys Med Rehabil       Date:  1982-06       Impact factor: 3.966

7.  Rehabilitation of the injured athlete.

Authors:  V Steele
Journal:  Physiotherapy       Date:  1980-08       Impact factor: 3.358

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Authors:  M A Chobotas; J S Saplinskas; I I Yashchaninas
Journal:  Electromyogr Clin Neurophysiol       Date:  1979 Jun-Aug

9.  Neural factors versus hypertrophy in the time course of muscle strength gain.

Authors:  T Moritani; H A deVries
Journal:  Am J Phys Med       Date:  1979-06

10.  Achilles tendon injury. 5. A model of isokinetic strength training using biofeedback.

Authors:  A R Fugl-Meyer; G Nordin; M Sjöström; L Wählby
Journal:  Scand J Rehabil Med       Date:  1979
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  8 in total

Review 1.  EMG feedback for the treatment of upper-extremity dysfunction: can it be effective?

Authors:  J Tries
Journal:  Biofeedback Self Regul       Date:  1989-03

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Journal:  Eur J Appl Physiol       Date:  2011-09-16       Impact factor: 3.078

3.  The effects of massed versus distributed contractions on the variability of maximal isometric force.

Authors:  Jessica McGuire; Lara Green; Kristina Calder; Jae Patterson; David A Gabriel
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Authors:  Tony Boucher; Sharon Wang; Elaine Trudelle-Jackson; Sharon Olson
Journal:  N Am J Sports Phys Ther       Date:  2009-08

5.  A theoretical framework for understanding neuromuscular response to lower extremity joint injury.

Authors:  Brian G Pietrosimone; Michelle M McLeod; Adam S Lepley
Journal:  Sports Health       Date:  2012-01       Impact factor: 3.843

6.  Noise-assisted multivariate empirical mode decomposition for multichannel EMG signals.

Authors:  Yi Zhang; Peng Xu; Peiyang Li; Keyi Duan; Yuexin Wen; Qin Yang; Tao Zhang; Dezhong Yao
Journal:  Biomed Eng Online       Date:  2017-08-23       Impact factor: 2.819

7.  Biofeedback Core Exercise Using Hybrid Assistive Limb for Physical Frailty Patients With or Without Parkinson's Disease.

Authors:  Naoya Kotani; Takashi Morishita; Aya Yatsugi; Shinsuke Fujioka; Satoshi Kamada; Etsuji Shiota; Yoshio Tsuboi; Tooru Inoue
Journal:  Front Neurol       Date:  2020-04-09       Impact factor: 4.003

8.  Type of Encouragement Influences Peak Muscle Force in College-Age Women.

Authors:  Ruth M Amagliani; John K Peterella; Alan P Jung
Journal:  Int J Exerc Sci       Date:  2010-10-15
  8 in total

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