Start Date
15-12-2015 5:30 PM
Description
This study aims to observe and analyze the patterns present in a full-length collegiate women’s soccer game. Heart rate is an extremely effective indicator of fatigue and can be used in order to better understand the patterns of physiological demand present on an athlete. Specifically breaking down the heart rates of LMU women soccer players, who play more that 45 minutes in a match, into 5-minute intervals will give us a more complete look at the physiological profile of the individual players. After collecting a heart rate maximum in practice as a reference, the average percentage of that heart rate for each five-minute interval can be measured during the game using FirstBeat heart rate monitors and divided into below 75% of maximum, 75-90% of maximum, 90-95% of maximum and above 95%. With this data, I can hopefully observe a pattern of a period of high exertion followed by a period of rest and recovery. Similarly, by breaking the data of the player down by position I can analyze the likelihood of certain positions to spend a longer or shorter time at a high heart rate. I hope to accomplish all of this with the upcoming study.
Heart Rate Patterns of Collegiate Women’s Soccer Players
This study aims to observe and analyze the patterns present in a full-length collegiate women’s soccer game. Heart rate is an extremely effective indicator of fatigue and can be used in order to better understand the patterns of physiological demand present on an athlete. Specifically breaking down the heart rates of LMU women soccer players, who play more that 45 minutes in a match, into 5-minute intervals will give us a more complete look at the physiological profile of the individual players. After collecting a heart rate maximum in practice as a reference, the average percentage of that heart rate for each five-minute interval can be measured during the game using FirstBeat heart rate monitors and divided into below 75% of maximum, 75-90% of maximum, 90-95% of maximum and above 95%. With this data, I can hopefully observe a pattern of a period of high exertion followed by a period of rest and recovery. Similarly, by breaking the data of the player down by position I can analyze the likelihood of certain positions to spend a longer or shorter time at a high heart rate. I hope to accomplish all of this with the upcoming study.
