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Changes of the force-frequency relationship in human tibialis anterior at fatigue.
No full textThis work estimates the influence of the single twitch (ST) parameters changes on specific regions of the force-frequency relationship (FFR) in fatigued human tibialis anterior (TA). In 20 subjects (age 20-40) the TA underwent three stimulation phases: (a) five STs at 1 Hz followed by 5 s stimulation with increasing rate (1-50 Hz, to obtain FFR); (b) fatiguing stimulation (35 Hz for 40 s); (c) same as in "a". By the average STs (mean of the five responses) of a and c phases, the peak twitch (Pt) was calculated. Moreover, after ST normalization to Pt, the maximum contraction rate (MCR) and the maximum relaxation rate (MRR) were computed. By the FFR, normalized to the 50 Hz force, we first defined the threshold frequency (TF) when the force oscillation presented the same value in (a) and (c), and then the areas below the FFR in the 1 Hz-TF and in the TF-50 Hz ranges. RESULTS: In unfatigued and fatigued muscle Pt, and MRR changed from 6.12 +/- 3.08 to 3.27 +/- 1.16 N and from 0.87 +/- 0.13 to 0.65 +/- 0.09% Pt/ms, respectively. MCR did not change significantly. The 1 Hz-TF area ratio (c/a) was > 1 for muscles having fatigued Pt > 60% of its basal value. The TF-50 Hz area ratio (c/a) was mostly below 1. CONCLUSIONS: At fatigue, MRR reduction, leading to a better fusion of muscle mechanical output, is able to compensate, in the 1 Hz-TF frequency range, up to 40% Pt loss; beyond TF, the changes of FFR are related to the degree of force loss indicated by the fatigued Pt
Force dynamic response of tibialis anterior-ankle joint unit in humans.
No full textThe aim of this study was to estimate the dynamic response of a human muscle joint unit by means of the analysis of the torque signal recorded during electrical stimulation of the tibialis anterior (TA). Ten subjects (age: 23-50 years, 7 males, 3 females) volunteered for the study. The leg was fixed in an ergometer designed for isometric contraction of the ankle dorsiflexors and the detection of the generated torque. The amplitude of a 30 Hz stimulation train administered at the TA motor point was varied sinusoidally, thus changing the number of the recruited motor units, and hence the tension at the tendon, in the same fashion. A sequence of 14 frequencies (0.4, 0.6, 0.8, 1.0, 1.2, 1.4, 1.6, 1.8, 2.0, 2.5, 3.0, 4.0, 5.0, and 6.0 Hz) was administered. RESULTS: (a) at the 14 frequencies the sinusoidal responses presented distortions always below 2%; (b) from the Bode plots reporting the average gain attenuation and phase shift at each of the 14 input frequencies, it was possible to model the force dynamic response as the one of a critically damped II order system with two real coincident poles (at 2.04 Hz) and a pure time delay (15.6 ms). The possibility to obtain, by means of the system input-output transfer function, data regarding the in vivo mechanics of the muscle-joint unit may represent a novel tool to investigate the functional features of different muscle groups. It may be useful for designing functional electrical stimulation programs as well as training and rehabilitation procedures
Muscle-joint unit transfer function derived from torque and surface mechanomyogram in humans using different stimulation protocols.
No full textTorque and laser detected surface mechanomyogram (MMG) analysis after electrical stimulation of human tibialis anterior (TA) of 14 male subjects was aimed to: (a) obtain the dynamic response.; of TA muscle-joint unit from a long (LP, about I h) and short (SP, 12.5 s) stimulation protocol; (b) compare the resulting transfer function parameters from the two signals.
The sinusoidal amplitude modulation of a 30 Hz stimulation train (SST) changed the number of the recruited motor units, and hence the isometric torque and the TA surface position in the same fashion. Subject instrumentation and SST amplitude range definition took about 25 min. SP: seven consecutive modulation frequencies (0.4, 6.0, 1.0, 4.5, 1.8, 3.0, and 2.5 Hz). LP: fourteen 5 s long isolated frequencies (0.4, 0.6, 0.8, 1.0, 1.2, 1.4, 1.6, 1.8, 2.0, 2.5, 3.0, 4.0, 5.0, and 6.0 Hz), 5 min rest in between, Poles position (Hz) and added delay (ms) for phase correction with respect to the input sine (parameters of a critically damped 11 order system) were: torque 2.44 +/- 0.27 Hz (SP) or 2.32 +/- 0.33 Hz (LP) and 18.3 +/- 2.2 ms (SP) or 17.2 +/- 4.5 ms (LP); MMG 2.28 +/- 0.30 Hz (SP) or 2.30 +/- 0.44 Hz (LP) and 17.4 +/- 5.6 ms (SP) or 17.4 +/- 6.4 ms (LP). Differences were never statistically significant. Conclusion: it is possible to characterise the in vivo mechanics of muscle-joint unit with a short (few seconds) stimulation protocol affordable in clinical environment using both torque and MMG signals
Electromyogram and force fluctuation during different linearly varying isometric motor tasks.
No full textThe purpose of this work was to verify if deviation from the mirror-like behaviour of the motor units activation strategy (MUAS) and de-activation strategy (MUDS) and the degree of the error of the motor control system, during consecutive linearly increasing-decreasing isometric tension tasks, depend on the maximum reached tension and/or on the rate of tension changes. In 12 male subjects the surface EMG and force produced by the first dorsal interosseus activity were recorded during two (a and b) trapezoid isometric contractions with different plateau (a: 50% maximal voluntary contraction (MVC) and b: 100% MVC) and rate of tension changes (a: 6.7% MVC/s and b: 13.3% MVC/s) during up-going (UGR) and down-going (DGR) ramps. Ten steps (ST) 6s long at 5, 10, 20, 30, 40, 50, 60, 70, 80 and 90% MVC were also recorded. The root mean square (RMS) and mean frequency (MF) from EMG and the relative error of actual force output with respect to the target (% ERR) were computed. The EMG-RMS/% MVC and EMG-MF/% MVC relationships were not overlapped when the ST and DGR as well as the UGR and DGR data were compared. The % ERR/% MVC relationships during a and b contractions differed from ST data only below 20% MVC. It can be concluded that MUAS and MUDS are not mirroring one each other because MU recruitment or de-recruitment threshold may be influenced by the maximum effort and by the % MVC/s of UGR and DGR. The role of MUs mechanical and/or central nervous system hysteresis on force decrement control is discussed
The surface mechanomyogram as a tool to describe the influence of fatigue on biceps brachii motor unit activation strategy. Historical basis and novel evidence.
No full text
Relazione tra il picco di forza della scossa singola e il meccanomiogramma di superficie durante stimolazione affaticante del bicipite brachiale.
No full textTorque and surface mechanomyogram parallel reduction during fatiguing stimulation in human muscles.
No full textThe purpose of the study was to verify, by means of torque and mechanomyogram (MMG) compared analysis, the validity of MMG as a tool to investigate the contractile changes due to localized muscular fatigue induced by stimulation protocols usually employed for sport training and rehabilitation programs. Ten healthy sedentary subjects participated in the study. Torque produced by the dominant biceps brachii (BB) and vastus lateralis (VL) during transcutaneous stimulated contractions has been recorded by a load cell strapped to the subjects' wrist and distal one-third of the tibia, respectively. MMG was detected over the muscle bellies during a monopolar supramaximal stimulation of the main motor point. After potentiation, the fatiguing stimulation was administered. It consisted of 50 cycles, with 2 s of 50 Hz and 25 s of 2 Hz. Averaged normalized values of peak torque (pT) and MMG peak-to-peak (MMG-pp) of the subjects group decreased from their initial 100% values to 55% (pT) and 60% (MMG-pp) for BB and to 43% (pT) and 47% (MMG-pp) for VL. The pT% and MMG-pp% changes throughout the stimulation protocol presented high correlation (BB: R=0.95, P<0.001; VL: R=0.94, P<0.001). This correlation suggests that MMG could be used to follow muscle mechanical fatigue development when torque output is not or hardly detectable such as during electrical stimulation programs employed for sport training or rehabilitation protocols
Electromyogram and force fluctuation during different linearly varying isometric motor tasks.
No full textThe purpose of this work was to verify if deviation from the mirror-like behaviour of the motor units activation strategy (MUAS) and de-activation strategy (MUDS) and the degree of the error of the motor control system, during consecutive linearly increasing-decreasing isometric tension tasks, depend on the maximum reached tension and/or on the rate of tension changes. In 12 male subjects the surface EMG and force produced by the first dorsal interosseus activity were recorded during two (a and b) trapezoid isometric contractions with different plateau (a: 50\% maximal voluntary contraction (MVC) and b: 100\% MVC) and rate of tension changes (a: 6.7\% MVC/s and b: 13.3\% MVC/s) during up-going (UGR) and down-going (DGR) ramps. Ten steps (ST) 6s long at 5, 10, 20, 30, 40, 50, 60, 70, 80 and 90\% MVC were also recorded. The root mean square (RMS) and mean frequency (MF) from EMG and the relative error of actual force output with respect to the target (\% ERR) were computed. The EMG-RMS/\% MVC and EMG-MF/\% MVC relationships were not overlapped when the ST and DGR as well as the UGR and DGR data were compared. The \% ERR/\% MVC relationships during a and b contractions differed from ST data only below 20\% MVC. It can be concluded that MUAS and MUDS are not mirroring one each other because MU recruitment or de-recruitment threshold may be influenced by the maximum effort and by the \% MVC/s of UGR and DGR. The role of MUs mechanical and/or central nervous system hysteresis on force decrement control is discussed
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