Cardiac Fitness Index based on Treadmill Heart Rate monitoring and it’s Mathematical Simulation

: In a clinic, cardiologists use the heart rate variation to determine the cardiac fitness of a patient. For this purpose, they monitor their heart rate while on the treadmill and after the patient has gone off the treadmill. However, they only monitor their heart rate values, and not the trend of the heart rate variation. In order to characterize the cardiac fitness, we need to develop an index which describes the trend of heart rate variation while on and off the treadmill. In this paper, we have determined the heart rate variation equation. The equation for on the treadmill is given by: HR = HRe*t^-k2. The range of k1 was found to be 0.2 to 0.25. The range of k2 was found to be -0.2 to -0.3. Then we formulated the Cardiac Fitness Index (CFI) Formula: CFI = k2/k1×HRo/(HRe-HRo)× (HRe-HRf)/HRe ×100 HRo is the initial rate at the time of getting on the treadmill, HRe is the heart rate at the end of 10 minutes on the treadmill, and HRf is the final value of the heart rate at 10 minutes after getting off the treadmill. In this evaluated four patients and calculated their values of their CFIs. Based on this, we found the range of CFI to be from 87 to 34 with 87 being the highest and 34 being the lowest. Our intent is to monitor more subjects and find out the ranges for normal subjects and find out the ranges for normal subjects and subjects with cardiac symptoms. This can enable the cardiologist to diagnose a subject with cardiac issues and recommend the subject for further tests, to determine the precise nature of the cardiac problem. Now our Cardiac Fitness Index can be employed by cardiologists to make that decision. In fact, it can also be used at home to determine the cardiac fitness, and stay fit. Thus, our paper will enable both medical and non-medical people to assess their cardiac fitness and hence will have a wide range of applications.

Identification Of Physiotherapy Student Fitness At Poltekkes Kemenkes Surakarta

Background: The convenience provided by technology makes a person tend to reduce physical activity. In a long time it will certainly have an impact on one's fitness. This will also affect adolescents to young adults, where the average circle is students in college. Fitness is very important to support daily activities, without fitness someone will easily experience fatigue. Currently, students tend to do less physical activity because they lie too much or are sedentary as a result of technological advances. As a physiotherapy student who will treat patients later, fitness needs to be maintained since in the college. So far, fitness identification has never been done for students in health institutions, especially in physiotherapy students in the Poltekkes Kemenkes Surakarta, so this study aims to determine the fitness condition of physiotherapy students. Methods: this research is a descriptive study by measuring 8 fitness components namely flexibility, balance, strength, explosive power, speed, agility, coordination and endurance in 226 physiotherapy students and the data analized descriptively using Ms. Excel. Results: Based on the measurement results, it was found that flexibility, balance and strength were included in the good category, explosive power, agility and coordination were in the very poor category, speed and endurance were in the excellent category. The physiotherapy student fitness index shows an average value of 3.125, which means that student fitness is included in the fair category. Conclusion: there is efforts should be made to maintain and improve the fitness of physiotherapy students in the Poltekkes Kemenkes Surakarta.

Comparison of Physical Fitness Index (PFI) between Spinning (indoor cycling) female practitioners and Zumba female practitioners using Modified Harvard’s Step Test: A pilot study

Background: With increase in awareness about the importance of physical fitness, there has been considerable increase in proportion of population indulging in various new emerging forms of exercises such as Zumba and Spinning. Purpose of study: To assess and compare Physical Fitness Index (PFI) between females practicing two newer forms of aerobic exercises Zumba (group 1) and Spinning (group 2) and to understand whether one aerobic activity has better PFI values over other and whether they can be used interchangeably. It will also create awareness regarding both the newer forms of aerobic exercise forms Zumba and Spinning and its effect. Method: Healthy females practicing either Zumba and spinning for one year regularly were chosen. Step board of height 33 cm, metronome, stopwatch used. Modified Harvard Step test was explained and then subjects were asked to do it. Results were calculated and scoring was done. Results and Main findings: The study showed that in (Group 1) Zumba practitioners 92.86% population had excellent PFI, 7.14% population had fair PFI. In (Group 2) Spinning practitioners, 100% subjects showed excellent PFI, Group 2 had evidently greater mean PFI than group 1 but not statistically significant. There was no statistically significant difference in PFI values between the subjects of two groups spinning and Zumba. Conclusion: Majority of the population of both the groups showed Excellent PFI. Both the newer types of aerobic exercise forms can be used interchangeably depending on the age of population. KEY WORDS: Zumba, Spinning, Modified Harvard’s Step test, Physical Fitness Index, Females.