published_or_final_version / Pharmacology / Master / Master of Philosophy

No description available.

Evidence suggests different sections of the arteriolar network supplying muscle can respond independently and this may provide a mechanism for the localized distribution of blood flow. This hypothesis was tested in the microcirculation of the cat sartorius muscle by measurement of arteriolar diameter changes during muscle contraction and sympathetic nerve stimulation in each consecutive section of the network. The diameter changes were referenced to the initial distribution of resistance across the network, as determined from arteriolar pressure measurements and morphometric data. This led to an estimate of the change in network resistance. Unlike previous reports, the most distal arterioles dilated little during muscle contraction and our resistance estimate indicates these vessels play an insignificant role in functional hyperemia. The more proximal, third order arterioles dilated proportionately more than other arteriolar orders and made the largest single contribution to resting resistance. Similarly, these vessels were the largest single site of resistance change during sympathetic stimulation. Together, these findings suggest the third order arterioles play a dominant role in regulating flow to the capillaries that each supplies. Antagonism of sympathetic control during muscle contraction has been attributed to direct inhibition of vascular smooth muscle contraction and to inhibition of sympathetic neurotransmission. Evidence to support the latter mechanism comes from the observation that functional dilation is reduced with exogenous norepinephrine as compared to sympathetic stimulation. However, exogenous norepinephrine may bind to both alpha-1 and alpha-2 adrenergic receptors, whereas that released by sympathetic stimulation may bind primarily to alpha-1 receptors. Since this difference could be significant, functional dilation after systemic injection of norepinephrine or phenylephrine, a selective alpha-1 agonist, was compared to that during sympathetic stimulation. In contrast to the findings with norepinephrine, functional dilation after phenylephrine did not differ from that observed during sympathetic stimulation. This indicates the dilator substance(s) released during exercise may selectively inhibit alpha-1 mediated vasoconstriction but less effectively inhibit vasoconstriction mediated by alpha-2 receptors. Furthermore, these findings suggest that the vasodilator mechanism may act primarily at the level of the vascular smooth muscle, without appreciable pre-junctional inhibition of sympathetic nerves.

No description available.

This thesis details a 1-d model of a lymphatic vessel, developed from a model by Reddy. Some additions to the modelling techniques were found to be necessary to prevent numerical phenomena not found in experiment. Furthermore the details of the wall and valve were important to the mechanics of the system. This developed model presents flow characteristics which are not represented in the existing lumped parameter or 1-d models of the lymphatic system. Additional terms allow more realistic representation of some modes of flow such as those occurring during collapse. The model was validated using Poiseuille flow calculations and experimental work. Features found in experiment were reproduced in the model. Such as the shark tooth shape of the radius time graph. A study of the sensitivity of the model to experimental parameters was performed. Features that increased flow included: increased compliance of the vessel, a larger diameter, amplitude of contraction or frequency, or a faster contraction wave. A lumped parameter model, relating the radius directly to the pressure, was investigated but this did not reproduce flow features such as the shark tooth shaped radius with time relationship or the radius peak at the beginning of a contraction or passive relaxation of the vessel. In the 1-d model the time constant of this passive relaxation increased with the magnitude of contraction. This value may have physiological relevance.

Thèse numérisée par la Direction des bibliothèques de l'Université de Montréal.

Title: Effect of two active recovery methods on repeated bout of finger flexors isometric performance. Goals: Compare two methods of active recovery - global and local, during repeated isometric performance and learn the difference between active and passive recovery. Method: Ten recreational athletes in average age 30,4 ± 5,9 years performed in a random cross-over desing 3 sessions with 3 repeated isometric intermittent contraction. The effect of active global recovery, active local recovery and passive recovery between repetions was monitored. Results: More effective type of recovery was active recovery. There was no difference between both active recovery methods. Performed decrease in active global recovery was activleast effective method of recovery was passive recovery. Decrease in the time in active global recovery was 21,7s (29,77%) and in active local recovery 20,8s (30,1%). The least effective was passive recovery. There was decrease 24,6s (35,34%). Key words: recovery, active recovery, local recovery, finger flexors, interrmitent, isometric contraction.

Title: Reliability of isometric and isokinetic strength testing in the knee flexion and extension Objectives: To compare the reliability of isometric and isokinetic testing of the knee strength in flexion and extension Methods: I used intraclass correlation coefficient and Pearson's correlation coefficient. Results: I have discovered that the reliability measured on isokinetic and isometric dynamometer is high. Furthermore the reliability of the maximum strength measurement was higher with-using the isokinetic dynamometer. Keywords: reliability, intraclass correlation coefficient, isometric dynamometry, maximal isometric strength, isokinetic dynamometry, knee strength, Cybex Humac Norm

Recently, it became possible to detect single motor units (MUs) noninvasively via the use of spatial filtering electrode arrays. With these arrays, weighted combinations of monopolar electrode signals recorded from the skin surface provide spatial selectivity of the underlying electrical activity. Common spatial filters include the bipolar electrode, the longitude double differentiating (LDD) filter and the normal double differentiating (NDD) filter. In general, the spatial filtering is implemented in hardware and the performance of the spatial filtering apparatus is measured by its common mode rejection ratio (CMRR). High precision hardware differential amplifiers are used to perform the channel weighting in order to achieve high CMRR. But, this hardware is expensive and all channel weightings must be predetermined. Hence, only a few spatially filtered channels are typically derived. In this project, a distinct software equalization filter was cascaded with each of the hardware monopolar signal conditioning circuits to achieve accurate weighting and high CMRR. The simplest technique we explored was to design an equalization filter by dividing the frequency response of a“reference" (or“ideal") channel by the measured frequency response of the channel being equalized, producing the desired equalization filter in the frequency domain (conventional technique). Simulation and experimental results showed that the conventional technique is very sensitive to broadband background noise, producing poor CMRR. Thus, a technique for signal denoising that is based on signal mixing was pursued and evaluated both in simulation and laboratory experiments. The purpose of the mixing technique is to eliminate the noise as much as possible prior to equalization filter design. The simulation results show that without software equalization, CMRR is only around 30 dB; with conventional technique CMRR is around 50~60 dB. By using mixing technique, CMRR can be around 70~80 dB.

In performing manual tasks, muscles are voluntarily contracted in order to produce force and orient the limb in the desired direction. Many occupational tasks are associated with frequent musculoskeletal disorders. In tasks involving skilful manipulation, very frequently the forces are focused on the upper limb and neck. Upper extremity cumulative trauma disorders are among the more common worker related injuries. These muscle disorders may be related to repetitive exertions, excessive muscle loads and extreme postures. One of the major challenges is to quantify the muscle load and researchers have tried various measures to quantify muscle load. Joint mechanical impedance can be a robust method to quantify muscle load. Joint mechanical impedance characterizes the dynamic torque-angle relationship of the joint. Joint impedance has been measured by earlier researchers, for limited tasks, by imparting force (or angle) perturbations on the joint and relating resultant angular (or force) changes. The joint impedance gives a quantitative measure related to muscle co-contraction level. Measurement of the mechanical impedance at the workplace may provide useful information relevant to the understanding of upper limb disorders. Electromyogram (EMG) is the electrical activity of the muscle. Usually, an estimate of the EMG amplitude is obtained from the raw waveform recorded from the surface of the skin. EMG amplitude estimates can be used to non-invasively estimate torque about joints. Presently, there exists no means by which mechanical impedance can be estimated non-invasively (i.e., without external perturbations). Therefore, we proposed the use of EMG to noninvasively estimate the joint mechanical impedance. Our objective in this project was to determine the extent to which surface EMG can be used to estimate mechanical impedance. Simulation studies were first performed to understand the extent to which this tool could be useful and to determine methods to be used for the experiment. The simulations were followed by evaluating and estimating mechanical impedance using data collected from one experimental subject. Simulations helped to devise processing techniques for the measured signals and also to determine the length of data to be collected. Low pass filters for derivatives (used in the development of impedance estimates) were designed. Subtracting out a polynomial was the best approach to attenuate a low frequency drift (artifact) that occurs in torque measurements. Thirty seconds of data provided impedance estimates with a relative error of 5% when EMG amplitude estimates with SNR of 15 were used. Experimental data from constant-posture, slowly force-varying background torque level showed that the elbow joint system behaved like a second order linear system between 2 Hz and 10 Hz. Co-contraction by subjects during experiments caused impedance estimates to be unexpectedly high even at low background torque. Further experiments would need to be conducted with the subjects being instructed to avoid co-contraction.