Both subjects recorded values for VE and FEO2% which allowed the absolute Vo2 (L/min) to be calculated. This was done by multiplying the VE by the difference between FIO2 and FEO2., where the FIO2 is always 20.93%. For the male participant during warm up, the calculation was .16VE x (.2093-.15) = 0.9488 (L/min) as his absolute VO2. This value was multiplied by 1000 to convert to ml and then divided by his body weight, 94.5kg, to find the relative VO2 of 10.04 (ml/kg/min). Discussion The hypothesis for this lab was tenable. The hypothesis held true that the subjects could calculate their VO2 max and score within a good range established by norms. The participants recorded variables such as heart rate, RER, VPE, VE, FEO2%, and absolute VO2 (l/m) …show more content…
This is due to the heart rate of the participants increasing as the intensity increased. The heart rate has a direct correlation to cardiac output which is measured by multiplying heart rate and stroke volume. The Fick equation is depicted as VO2 = Q x a-VO2diff, where Q is the stroke volume. The a-VO2 difference is the difference in oxygen concentration in the arteries and veins just outside the tissue (muscle). The greater the difference, the more oxygen the muscle excreted from the blood, and thus a higher VO2 will be recorded. This difference is influenced by many factors such as mitochondria, capillary beds, and myoglobin. Mitochondria increase in both number and size with endurance training, which would allow for more oxygen usage. Endurance training also increases the number of capillary beds near trained muscles which would allow for more blood to flow over a shorter distance, which would potentially increase the amount of oxygen consumed. Also, myoglobin transports oxygen from the muscle to the mitochondria for energy, and training increases the myoglobin count in an individual. Finally, it is noted that gender does play a role in VO2 max for the participants as depicted by the values for norms. Males are expected to have a higher VO2 max than females and this is confirmed with the results of this study. The subjects in this experiment both scored in the good VO2 max score for their age
The definition of VO2 is the maximum rate of oxygen consumption measured during incremental exercise. The definition of METs is the ratio of metabolic rate during a specific physical activity. The relationship between METs and activity are, the higher the MET level the more calories that are burnt and the higher METs the more intense the activity. The more Oxygen consumed during a VO2 maximal test, the more carbon dioxide is being produced, this raises the RER, RR, HR etc. A warm up before VO2 testing and a higher MET activity are important. A warm up will prime the body to make sure you are ready for the activity. Then , when you perform you must have a cool down to help lower your heart rate and replenish oxygen from the strenuous activity. Comparing my VO2 (48.8) in a national standards chart, I am in the 75th percentile. Using METs and Max VO2 is very helpful in making a program. You know what level of MET activity the client can withstand and you can control the intensity. Also, having HR zones, points where lactic acid build up starts and a plethora of data at your fingertips to manipulate in order to better train a client.
P6- follows guidelines to interpret collected data for heart rate, breathing rate and temperature before and after a standard period of exercise
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
Breathing Rate 2.6 2.9 3 2.8 TV(L) 2.9 3 2.9 2.9 Resting Values ERV(L) IRV(L) 3.9 4.3 4.3 4.2 5.5 5.9 5.9 5.8 RV(L) 3.4 3.6 3.7 3.6 Breathing Rate 2.2 2.3 2.3 2.3 TV(L) 4 4.3 4.4 4.2 Exercising Values ERV(L) IRV(L) 5.6 5.9 6 5.8 6.2 5.3 6.7 6.1 RV(L) 42.2 50.2 49.5 47.3
The Balke treadmill test was used to estimate your maximum VO2 measurement, and to determine your aerobic fitness percentile. Based on your time and the chart corresponding to your age on page ninety-three of the ACSM guidelines book, your VO2 maximum would be about nineteen and a half milliliters per kilogram of body weight per minute of oxygen [1]. This is the
15-sec pulse count. Multiply the 15-sec count by 4 to express the score in beats per minute (bpm). VO2 max in ml*kg-1 – min can be estimated using the following equation
Functional Aerobic Impairment (FAI) was the next value looked at. FAI assesses the difference between a people’s aerobic capacity based on age, gender, and usual activity level. It’s measured by a percentage and used to determine the level of aerobic impairment a test subject may have (Franklin, 1989). There are five different categories that the different percentages fall under: no significance, mild, moderate, marked, and extreme. Looking at the results above, all but one of the females had a negative percentage, while all of the males had positive percentages. The lower the FAI score or percentage the better, this means the test subject has a higher VO_2max than what was predicted, giving them a better health status. The negative values,
During the race there will be the increased demand for O2 (VO2) in both runners in response to the increased activity of the skeletal muscles. To supply this increased VO2, CO will be increased (Hlastala & Berger, 2001).This will be an easier task for Ruth’s heart as her SV is high due to increased EDV (Frank-Starling law) compared to James’ heart which has a lower SV, so at maximum HR Ruth will have a higher CO (Silverthorn, 2014). This means that the maximum volume of O2 that Ruth can use (VO2 max) will be higher than James’ VO2 max (Hlastala & Berger,
During last Friday’s class, we under went the Rockport Walk test to calculate our VO2 max. The VO2 max is the measurement of the maximum amount of oxygen that an individual can utilize during intense, or maximal exercise. It is measured as milliliters of oxygen used in one minute per kilogram of body weight. The Rockport test is a common test for those individuals with a low fitness level and it is good for large groups because only few materials are needed to run the test. Moving towards my data, after entering my height, weight, age, age, heart rate after walk and my time it took for the mile into the equation for my VO2 max. My VO2 max came out to be a 54, which based off of table 12.6 is above average for
Figure 6 showed the pooled data for all eight groups in the class that used the same control and experimental conditions. The pooled data for the 16 control trials showed that the average oxygen consumption rate per unit mass was -246 and the standard deviation was 87 (Figure 6). The pooled data for the 16 experimental trials showed that the average oxygen consumption rate per unit mass was -263 and the standard deviation was 89 (Figure 6). The t-value derived from the t-test for the average oxygen consumption rate per unit mass was 1.2173, and its corresponding p-value was 0.245 (Figure 6).
The test we performed was the Cooper 1.5 mile run/walk test. To perform this test, we recorded the height and weight of our subject. Each subject performed a 5-10 minute dynamic warm-up, while we explained the objective of the test. The goal was for each participant to run or walk 1.5 miles (6 laps) as fast as possible. Next, we had all the participants line up at the starting line. Each participant was assigned a partner who would count their laps and record their time on a stopwatch. As soon as the subject began the test, their partner started the time. The time ran until the subject reached 1.5 miles. Once the subject was done, they performed a cool down run to prevent injury and cramping. To calculate the predicted VO2max, the following
As the intensity of exercise increased, so did the rates of the heart and breathing. After a small period of rest, the heart rate and breathing rate both decreased to a point close to their resting rate. This proved the stated hypothesis. First, the hearts average resting rate was recorded to be 76 bpm. The heart is therefore transporting oxygen and removing carbon dioxide at a reasonably steady rate via the blood. During the low intensity exercise (Slow 20) the heart rate increases to 107 bpm, which further increases to 130bpm at a higher intensity level (Fast 20). The heart therefore needs to beat faster to increase the speed at which oxygen is carried to the cells and the rate at which carbon dioxide is taken away by the blood.
I predict that during exercise the heart and respiratory rate (RR) will increase depending on the intensity of exercise and the resting rates will be restored soon after exercise has stopped. I believe that the changes are caused by the increased need for oxygen and energy in muscles as they have to contract faster during exercise. When the exercise is finished the heart and ventilation rates will gradually decrease back to the resting rates as the muscles’ need for oxygen and energy will be smaller than during exercise.
Oxygen consumption (VO2) is the measure and the amount of oxygen being taken in and consumed by the body during exercise. Oxygen is used by its target tissues to produce energy (ATP), mostly through aerobic respiration, and allows us to calculate and determine the amount of energy being expended during exercise. Theoretically oxygen consumption would decrease as energy demand, aerobic metabolic rate, and power output increases; but for our lab the results seem to indicated that oxygen consumption initially increases, and then starts to decease. I can only hypothesize that the variation in our results in due to the limited time/duration of exercise during our experiment, and that given a longer observation and duration of exercise for our
The amount of blood pumped out during systole is called the stroke volume and is less than the end diastolic volume because the ventricles do not completely empty themselves during systole. At all levels of physical activity stroke volume is increased. There is an improvement in ventricular performance with an increase of plasma volume [4] and a faster peak lengthening the rate of the left ventricle during diastole [6]. Training can improve stroke volume but by no more then about 20%. Due to the decreased heart rate an increase of ventricular filling will result and an increase in ventricular volume and thickening of ventricular walls thus