High Knees Practical
Changing Temperature Design Practical
Aim:
To determine whether physical activity has an effect on body temperature.
Hypothesis:
Physical activity will increase body temperature. Equipment:
• Thermometer
• Timer (stopwatch) Variables
Independent Variable:
• Temperature
• High Knees Dependent Variable -
• Temperature
• High Knees
Constant Variable -
• Amount of time (exercise and break) Method:
1. Thermometer was cleaned with methanol
2. Temperature was measured
3. As soon as high knees commenced, timer started
4. Timer stopped after 30 seconds
5. Rested for 2 minutes
6. Steps 2 to 5 were repeated 2 times. Results: Amount of high knees Temperature °C (after each round)
Before experiment - 33.7
Round 1 87 34.7
Round 2 75 35.5
Round 3 62 35.9
(Faye completed the exercise)
Observations:
The amount of high knees gradually decreased after each round and the temperature increased aftr each round.
Discussion:
Data analysis
The results shown above support the hypothesis. The temperature behind the knee was measured, before the actual experiment commenced. The thermometer read 33.7 °C. A session of exercise was undertaken, in this case high knees. Each session was 30 seconds long. As each block of exercise was completed, the results displayed a gradual decrease in the amount of high knees completed. Therefore, this meant that the body was overcoming muscle fatigue and was
For more than a decade, Targeted Temperature Management (TTM) has been the recommended treatment modality in adult comatose patients following out-of-hospital cardiac arrest (OHCA)[1] in order to improve survival and neurological outcome by minimizing brain injuries due to anoxia and reperfusion injury.
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 Wingate Anaerobic Test is used to evaluate anaerobic cycling performance. This study was undertaken to determine whether there is a relationship between peak power and fatigue index for endurance (n=9) vs power (n=4) athletes. A total of 13 subjects, including 8 males and 5 females, were included in the study. The subjects were divided into sporting types, such as endurance and power. Data collected from the Wingate test included peak power (W), mean power (W), time to peak (S), minimum power (W) and fatigue index (%). When the peak power and fatigue index were considered together for endurance athletes, a significant relationship
Four interval times (PR, RT, TP and RR) measured in seconds were recorded both with the subject at rest and after the subject had exercised. The PR and RT intervals remained virtually unchanged with the PR intervals remaining the same both before and after exercise with an interval time of 0.15 seconds, and the RT interval increase by 0.01 seconds from 0.37 at rest to 0.38 seconds after exercise. More substantial changes were noted in TP and RR intervals. The TP interval decreasing from 0.32 seconds at rest to just 0.08 seconds after exercise, a decrease of 0.24 seconds (just 25% of the resting 0.32 seconds). The RR interval decreased from 0.84 seconds at rest to 0.61 seconds seconds after exercise, a decrease of 0.23 seconds
You may list, as students report out, the physiological changes to the respiratory, cardiovascular, neuromuscular, and urinary systems expected during strenuous exercise and as noted in the case of the cyclist, Joe. Students will respond with answers suggesting increases in heart rate, respiration, sweating and muscle fatigue, as well as muscle soreness as normal. However, in
The results of my pulse rate, breathing rate and temperature before and after the exercise are down below.
In this assignment I will be reviewing the different effects of exercise on the body system including the acute and long term using the pre-exercise, exercise and post-exercise physiological data which I collected based on interval and continuous training method. I will also be including the advantages and disadvantages of these, also the participants’ strengths and areas where they can improve on.
In this lab, the focus was to study muscular fitness. In muscular fitness, there are two main components of measurements that are being taken, which are muscular strength and muscular endurance. Muscular strength is an individual’s ability to exert their maximum force. To test muscular strength, there are multiple tests such as 1 RM , Static Handgrip Strength, and Back Strength Dynamometer test. Muscular endurance is an individual’s ability to sustain prolonged muscular contractions. Tests that reveal results about an individual’s muscular endurance would be tests such as YMCA Submaximal Bench Press, Push-Up, and Plank test. It is important to remember that there is no single test for endurance and strength that will tell an
According to the results, the time of prior exercise and the average number of cycles after the exercise were inversely proportional. The time of prior exercise assumed to be approximately proportional to the amount of exercise. Also, the number of cycles presumed to be inversely proportional to muscle fatigue. This is because greater muscle fatigue would prevent faster rate of muscle contraction, this would result in performing a lower number of cycles during a given period. Hence, based on the graph, it was inferred that the amount of previous exercise and muscle fatigue would have a positive linear relationship. This implies that as the amount of previous exercise increased the macule fatigue increased accordingly.
The participants ran for five minutes at there own pace to warm up. To randomize the order the participants were randomly assigned which condition to complete first, barefoot vs. shod. During the experiment the participants ran for two minutes at 3.05 m*s^-1, rested for two minutes, then ran for two minutes at Then had a two-minute rest period and completed the same procedure for the other condition. Each participants stride length was assessed using the distance measured between the first and second initial contact of the left foot.
To suitably dissipate the excess body heat, there are two options: 1) use of cooling mech-anisms, and 2) limiting the duration of the activity, or both. The limit for the duration of activity can be predicted with the help of algorithms based on experimental data [4], human body simula-tors [5, 6], or computational models [7]. Algorithms are developed based on the average re-sponse of the human subjects tested in controlled environmental simulators. The variations in the local environment are limited based on the capacity of the experimental setup. Conversely, using a computational model includes the advantages of: 1) better manipulation of the human body ge-ometry, and 2) the possibility to impose and test unfavorable boundary conditions such as expo-sure to fire. Computational models allow for the integration of the human thermoregulatory sys-tem with a physiologically realistic geometry to determine the thermal interactions of the model with the environment. However, the main drawback of the computational models is that their results are dependent on the quality of input data and boundary conditions. A computational model that resembles the human body is
Hypothesis: If a person practices an aerobic sport on a daily basis (athlete), then he will have a higher recovery rate due to the fact that their hearts are more accustomed to intense physical exercises than someone who does not (non-athlete).
Range of movement- This is linked to muscle pliability as the warmer the muscles get, the better the elasticity which enable the body to move easier and have a better range of movement around a joint. Exercise increases the production of synovial fluid at a joint, therefore keeps the joints lubricated and makes them suppler. Consequently, allowing a larger range of movement throughout the body. For example if an individual went on the cross trainer for 10 minutes and then went on to the rowing machine; they would have an increased range of movement at their joints, making it easier to exercise on that machine due to the muscles already being warmed up.
To start off the experiment, a baseline was needed in order to be able to compare the different variables through out the experiment. The subject was instructed to sit and relax quietly while the blood pressure cuff and pulse plethysmograph were placed properly. After the blood pressure was taken and analyzed, it was found that the subject’s blood pressure was 122/64 mm Hg and a pulse rate of 60 bpm. Now that the baseline was obtained, continuing with the changing variables could take place. Starting with the variable of postural changes, the subject first reclined for three minutes. After the two minutes, the
The final element that was tested against the baseline reflex was the influence of fatigue on the strength of the reflex response. This was achieved by having the subject run up and down three levels of stairs three times in the Frost building stairwell of Holyoke Community College. The subject immediately came back to the original sitting position on the edge of the lab bench with legs dangling freely, and the patellar tendon was tapped once more.