1954
DOI: 10.1113/jphysiol.1954.sp005044
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The relation between force, velocity and integrated electrical activity in human muscles

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Cited by 666 publications
(221 citation statements)
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References 9 publications
(11 reference statements)
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“…Interestingly, the peak and rate of rise of the obliquus externus integrated EMG activity correlates with both the intensity of the cough stimulus, and the cough maximum expiratory flow [31]. As mentioned above, the integration of EMG activity per expiratory effort is a good index of expiratory driving force [31].…”
Section: Accepted Manuscriptmentioning
confidence: 85%
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“…Interestingly, the peak and rate of rise of the obliquus externus integrated EMG activity correlates with both the intensity of the cough stimulus, and the cough maximum expiratory flow [31]. As mentioned above, the integration of EMG activity per expiratory effort is a good index of expiratory driving force [31].…”
Section: Accepted Manuscriptmentioning
confidence: 85%
“…As mentioned above, the integration of EMG activity per expiratory effort is a good index of expiratory driving force [31].…”
Section: Accepted Manuscriptmentioning
confidence: 98%
See 1 more Smart Citation
“…2). Since, compared to concentric and isometric contractions, muscle activation at similar levels of force is significantly lower during eccentric contractions (Bigland and Lippold, 1954), it can be speculated that age-related deficits in muscle activation will have a greater negative impact in concentric and isometric contractions than in eccentric. In view of this, Klass et al (2005) used both the central activation ratio (CAR) and the ratio between the rectified electromyography (EMG) signal and the evoked action potential (EMG/M-wave) to assess muscle activation of the ankle dorsiflexors during isometric, concentric and eccentric contractions in a group of young (~24 years) and older (~77 years) adults (table 1).…”
Section: Neurological Mechanismsmentioning
confidence: 99%
“…At the present time our knowledge of the human control strategy (Gaines, 1969) ranges from the linear describing function (Licklider, 1960;McRuer et al, 1965), accounting for a major part of the operator output in the frequency domain, through discontinuous, data-sampling models which account for much of the fine structure in the time domain (Bekey, 1965;Lange, 1965), to analyses of the basic neuromuscular components of the human controller (Bigland and Lippold, 1954;Young and Stark, 1965). These models are, however, based on the stationary characteristics of the input/output relationship after learning, and offer no account of learning itself or of the variables affecting it.…”
Section: Introductionmentioning
confidence: 99%