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Name: Diane Guo

Partners: Xavier, Michael

Date of experiment: 2011-3-23


 How can exercise affect your heart rate?
Aim: To see how much does your heart rate increases after changing the type of exercise
you are doing.

Hypothesis: the heart rate will raise the most after sprint.

Variables:

        Input variable: The ways of exercising, we will first test sprint, then change to
jog and finally walk.
        Output variable: Xavier’s heart rate. We will measure his heart rate right after
he sprint/job/walk, and get the average heart rate after doing the 3 trails.

       Control variables:

                Control variable 1: Distance of laps--- run the same distance every time

                Control variable 2: The athlete--- use the same person to run every time


                Control variable 3: The speed of exercise --- Run/jog/walk at the same
                            speed every trial

Materials:

       -     Stop watch
       -     Writing utensil
       -     Track
       -     Athlete
       -     Pulse taker


Method:

   1. Test your heart rate 3 times before you run (each for 1 minute, using the blood
      pressure cuff)
   2. Write down the data
   3. Xavier sprints
   4. Measure the heart rate using the blood pressure cuff (BPM)
   5. Write down the data
   6. Rest for the heart rate to return normal
   7. Repeat step 3-6 two times
8. Xavier jogs (the same distance as sprint)
   9. Measure the heart rate using blood pressure cuff (BPM)
   10. Write down the data
   11. Rest for the heart rate to return normal
   12. Repeat step 8-11 two times
   13. Xavier walks (the same distance)
   14. Measure the heart rate using the blood pressure cuff (BPM)
   15. Write down the data
   16. Rest for the heart rate to return normal
   17. Repeat step 13-16 two times


Results:

       Table: Heart rate after exercise (BPM)                      Average heart beat: 82
Exercise        Trial 1            Trial 2               Trial 3            Average
Sprint          105                126                   131                121
Jog             110                86                    104                100
Walk            98                 108                   113                106



   Y-axis




                                                                                            X-axis



Conclusion:

                   Our hypothesis was correct; our hypothesis was “the heart rate will
           raise the most after sprint”. The reason why it raised was because the heart
           needs to pump faster when the athlete does exercise that requires more
           movement; the heart needs to pump more and needs more oxygen. Therefore
           the heart rate raised a lot. The relationship between the input and output
           variables is, when doing the exercise that requires more speed, the heart rate
           raises the most. After the sprint, Xavier’s heart beat raised 39 beats from his
           average heartbeat. After the jog, Xavier’s heartbeat raised 18 beats, and after
           the walk, Xavier’s heartbeat raised 24 beats. His heartbeat raised the most after
           sprinting. His sprinting heart rate was 105, 126, 131, then we divide them by 3
to get the average. My data is unreliable, because our common sense knows
         that the heart rate for sprinting should be more than jogging and walking.
         However in our data table, it shows that the average heart rate of sprinting is
         121 BMP (beats per minute), the average heart rate of jogging is 100 BMP, and
         the average heart rate of walking is 106 BPM. Obviously the data is wrong, the
         walking heart rate should be the lowest, but in my data, it’s even higher then
         jogging. It was hard for us to measure the heartbeat of sprinting, and it took us
         a lot of time. It is because Xavier needed a lot of time to recover his heart rate,
         and sometimes it takes 10 minutes to return to normal heart rate.


Evaluation:


         The part of the method went really well was that we made steps for recovering
      time. The recovering time was very important for our experiment, and it took the
      most part of the experiment. If Xavier’s heart rate didn't return to normal, then our
      data will not be as accurate and true. Some improvements I can make for the
      method is that I should have made it shorter, so that we can finish the experiment
      in one day.
         Some things that could be changed for method for the next time are we will
      only do sprint and walk; it is easier to see the difference, and take less time to the
      experiment. Also, we would like to concentrate on the experiment so it will take
      less time to do it.
         Some errors we did during this experiment were that when the athlete was
      suppose to rest, he was moving around, so that effected his heart rate. And there
      was one time when he walked with his heart rate at around 100, which was not the
      normal heart rate. And we should do the experiment all in one day, because the
      next day the athlete might have some body issue that affect the result.
         If I can do this experiment again, I would like to make the input variable into
      the amount of time you exercise, instead of the amount of exercise. I could first
      measure the heart rate when running 30 seconds, then change to 60 seconds (at
      the same speed), and so on.

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Lab report heart beat

  • 1. Name: Diane Guo Partners: Xavier, Michael Date of experiment: 2011-3-23 How can exercise affect your heart rate? Aim: To see how much does your heart rate increases after changing the type of exercise you are doing. Hypothesis: the heart rate will raise the most after sprint. Variables: Input variable: The ways of exercising, we will first test sprint, then change to jog and finally walk. Output variable: Xavier’s heart rate. We will measure his heart rate right after he sprint/job/walk, and get the average heart rate after doing the 3 trails. Control variables: Control variable 1: Distance of laps--- run the same distance every time Control variable 2: The athlete--- use the same person to run every time Control variable 3: The speed of exercise --- Run/jog/walk at the same speed every trial Materials: - Stop watch - Writing utensil - Track - Athlete - Pulse taker Method: 1. Test your heart rate 3 times before you run (each for 1 minute, using the blood pressure cuff) 2. Write down the data 3. Xavier sprints 4. Measure the heart rate using the blood pressure cuff (BPM) 5. Write down the data 6. Rest for the heart rate to return normal 7. Repeat step 3-6 two times
  • 2. 8. Xavier jogs (the same distance as sprint) 9. Measure the heart rate using blood pressure cuff (BPM) 10. Write down the data 11. Rest for the heart rate to return normal 12. Repeat step 8-11 two times 13. Xavier walks (the same distance) 14. Measure the heart rate using the blood pressure cuff (BPM) 15. Write down the data 16. Rest for the heart rate to return normal 17. Repeat step 13-16 two times Results: Table: Heart rate after exercise (BPM) Average heart beat: 82 Exercise Trial 1 Trial 2 Trial 3 Average Sprint 105 126 131 121 Jog 110 86 104 100 Walk 98 108 113 106 Y-axis X-axis Conclusion: Our hypothesis was correct; our hypothesis was “the heart rate will raise the most after sprint”. The reason why it raised was because the heart needs to pump faster when the athlete does exercise that requires more movement; the heart needs to pump more and needs more oxygen. Therefore the heart rate raised a lot. The relationship between the input and output variables is, when doing the exercise that requires more speed, the heart rate raises the most. After the sprint, Xavier’s heart beat raised 39 beats from his average heartbeat. After the jog, Xavier’s heartbeat raised 18 beats, and after the walk, Xavier’s heartbeat raised 24 beats. His heartbeat raised the most after sprinting. His sprinting heart rate was 105, 126, 131, then we divide them by 3
  • 3. to get the average. My data is unreliable, because our common sense knows that the heart rate for sprinting should be more than jogging and walking. However in our data table, it shows that the average heart rate of sprinting is 121 BMP (beats per minute), the average heart rate of jogging is 100 BMP, and the average heart rate of walking is 106 BPM. Obviously the data is wrong, the walking heart rate should be the lowest, but in my data, it’s even higher then jogging. It was hard for us to measure the heartbeat of sprinting, and it took us a lot of time. It is because Xavier needed a lot of time to recover his heart rate, and sometimes it takes 10 minutes to return to normal heart rate. Evaluation: The part of the method went really well was that we made steps for recovering time. The recovering time was very important for our experiment, and it took the most part of the experiment. If Xavier’s heart rate didn't return to normal, then our data will not be as accurate and true. Some improvements I can make for the method is that I should have made it shorter, so that we can finish the experiment in one day. Some things that could be changed for method for the next time are we will only do sprint and walk; it is easier to see the difference, and take less time to the experiment. Also, we would like to concentrate on the experiment so it will take less time to do it. Some errors we did during this experiment were that when the athlete was suppose to rest, he was moving around, so that effected his heart rate. And there was one time when he walked with his heart rate at around 100, which was not the normal heart rate. And we should do the experiment all in one day, because the next day the athlete might have some body issue that affect the result. If I can do this experiment again, I would like to make the input variable into the amount of time you exercise, instead of the amount of exercise. I could first measure the heart rate when running 30 seconds, then change to 60 seconds (at the same speed), and so on.