METHOD Participants Thirteen healthy undergraduate students at the University of Brighton (8 males, 5 females; mean ± SD, age: 19.2 ± 1.5 years; body mass: 67.4 ± 16.1 kg; height: 177 ± 28.2m) were briefed with the study procedure. Their anthropometric data was collected, along with a medical questionnaire and their consent to participate in the study. All of the participants were familiar with the laboratory testing procedures.
Oxygen debt in the muscles is reached when oxygen levels are much lower than required during strenuous physical activity, causing lactate fermentation to occur in the cells leading to muscle fatigue. The results found in the experiment were the number of squeezes in the first trial for the dominant and non-dominant hands were significantly higher than the remaining ones. The results also showed as the trials continued, the number of muscle contractions decreased steadily which supported the hypothesis. However, there were some increased numbers for the dominant hand from trial 4 to 5 and trial 9 to 10. The non-dominant hand expressed similar unexpected results from trial 6 to 7 and trial 9 and 10. The reasons for these results might be due to the finger muscles being worked at the high intensity for a long period of time causing the muscles to consume higher amounts of oxygen thus producing more ATP production. This would cause the muscles to create more contractions towards the end of the trials. The unexpected results could also be caused by experimental errors such as faulty clothespins. The springs connecting the two ends of the clothespin was tight causing the number of contractions as the trials progressed having a more significant decrease. This is because the amount of energy required to open and close the clothespin would be higher, causing the lactate threshold to occur quicker. Due to this, the number of squeezes would decrease drastically as the trials progressed, in contrast to if the springs were normal. This would change the results by the difference between the trials not being evident therefore, not demonstrating the effects of muscle fatigue. Another factor that altered this experiment was the participant’s condition, Palmar Hyperhidrosis –excessive sweating on the palms – which
the Valsalva Maneuver, and Cerebrovascular Transmural Pressure. Medicine & Science in Sports & Exercise,35(1), 65-68. Kenney, W. L., Wilmore, J. H., & Costill, D. L. (2015). Physiology of sport and exercise (6th
SYNOPSIS M.P.T Programme 2012-2014 AMITY INSTITUTE OF PHYSIOTHERAPY (AIPT) Additional Effect of plyometrics on core strength of young adolescent Athletes: A Randomised Controlled trial. Name Gautam Gupta Enrollment Number A1102713008 Programme Master of Physiotherapy(2013-2015) Elective Sports Contact Details 9868047934 , physiogautam18@live.com INTRODUCTION Exercise can be explained as an ordered and customary activity which is performed to improve the performance of the athletes. Exercises are being categorized into various classes depending upon the requirements of the athletes’ performance. Two very common type of exercises used by atheletes are core stability and plyometric exercises which are being utilized in order to improve an athletes’ performance. (1)
Isokinetic contraction can be defined as a muscular contraction where the limb remains in a constant velocity around a joint. It can be used to assess force output (torque) with isolated joint movements, which is the most common measurement obtained. A way isokinetic measurements can be collected is through the
Using electrodes on the bicep to record the motor unit recruitment during all four conditions: control, stretching, cardio, and aerobic stretching. As shown in figure 5, the control group and the stretching are similar in the amount of EMG amplitude (mV). However, when comparing stretching with both cardio and aerobic stretching there is an increase as the intensity of the warm-up. Moreover, aerobic stretching has the highest EMG amplitude, which shows that there is motor unit cycling. Motor cycling provides a more efficient performance on the bicep because more of the muscle is being used (Widmaier, et al.,
The lab chart was then stopped once the 5s contraction period had ended. Then the maximum force in Neutons (N) for that trial was calculated by the chart. The 5s MVC procedure was then repeated two more times and the MVC for each trial was calculated by the chart software and the highest MVC contraction and MVC for each trial was then identified and all the values were out into table 1.5. Then each participant 90% MVC was calculated by taking the 100% MVC and multiplying it by 0.9 which was then put into the second table, and the guideline of the participants 90% max was then put into the lab chart. The participant then prepared to hold their 90% MVC for 1 minute. With their knee already extended as far as they could without contracting with no slack in the line or chain the lab chart was started and the participant was instructed to kick out to achieve maximal force and tried to hold it for 1 minute to the best of their abilities and then relax when the minute has
Discussion There were few significant differences in knee extensor and knee flexor muscle activity during walking with robotic assistance. Significant differences in muscle activity across condition only occurred in muscles targeted for intervention (knee extensor, VL), with an increase in muscle activity during the EXO condition, a positive result for an extensor muscle. Although some undesirable increases in MH flexor muscle activity were seen in the linear envelopes, they did not present significant changes the statistical analysis on the group level. Muscle activity did not change significantly across visits with the exoskeleton.
A total of 13 participated in the research study (7 males, 6 females). The average age of males in the study was 23.14 ± 0.90 and the average age of females were 25.17 ± 3.25. The average height for males were 70.36 ± 3.04 inches and for females 66 ± 2.10 inches. The mean weight and body fat for males were 194.53 ± 17.49 lbs. and 18.03 ± 4.99 %, respectively. For female’s body weight was 155.83 ± 27.74 lbs. and 25.32 ± 5.45 body fat percentage. After conducting a Pearson Correlation, Table 2 describes the results using P-value and alpha significance. A moderate correlation was found in the combined scores between ankle dorsiflexion and broad jump (r = 0.45; P-value = 0.12). Another moderate correlation was recorded when compared between ankle dorsiflexion and vertical jump in a combined group (r = 0.42; P-value = 0.15). Males showed a higher correlation between ankle dorsiflexion and vertical jump (r = 0.42; P-value = 0.35), while females showed a lower correlation (r = 0.37; P-value = 0.47). Additionally, there was a higher correlation in males between ankle dorsiflexion and broad jump (r = 0.41; P-value = 0.36), as opposed to females (r = 0.39; P-value =
According to Hébert-Losier et al. (2009) there are no consistent evaluation purpose, test parameters, outcome measurements, normative values, or reliability and validity are currently documented for the calf-raise tests. However, the calf-raise test still commonly used on the sports & exercise medicine settings and involves concentric-eccentric actions of the plantar-flexors in unipedal stance, with the total number of calf-raises completed documented as the primary outcome measure (Hébert-Losier, Schneiders, et al., 2009).
In this study, skeletal muscle-specific force, maximal isometric force per cross-sectional area of the muscle, concentric force, contractile properties, activation capacity and the structural characteristics of the muscle were tested. The results showed through the measures of body composition and physical function. (Jordan, what were you trying to say here? I’m a tad confused.)
The following study Foam Rolling for Delayed-Onset Muscle Soreness and Recovery of Dynamic Performance Measures performed by Pearcey et.al studied the effectiveness of foam rolling on decreasing delayed onset muscle soreness (DOMS). DOMS can contribute greatly to the discomfort that a physically active person experiences after an intense workout. According
Monitoring Training Load to Understand Fatigue in Athletes by Shona L. Halson Background Athletes are all the time looking to better their performance scientifically which can be possible only if their training schedules and exercise workouts are increasing in terms of frequency duration and intensity. The article describes the current scientific information available relating to tools for monitoring training load in athletes and to outline some of the practical considerations when both planning and implementing monitoring in athletes.
169 nm, while the absorption coefficient at 355 nm (ag355) was used as a quantitative parameter of CDOM
This experiment is important for biologists and most importantly sports doctors because they can monitor changes and performance of athletes. Many athletes are constantly exercising and under vigorous activity. When studying the physiological changes of the body