BME100 f2015:Group4 1030amL3
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LAB 3A: "Device Validation"
The units for standard deviation, mean, and standard error are degrees Fahrenheit for temperature and bpm for heat rate.
A T-test was used since only two variables existed in each experiment.
Given that the Pearson’s correlation coefficient, r, for the relationship between pulse ox and Spree headband heart rate measurements is .82339451, there is a relatively linear relationship between the measurements of the two devices. Given that the Pearson’s correlation coefficient, r, for the relationship between oral thermometer and Spree headband temperature measurement is 0.1674259, there is a weak linear relationship between the measurements of the two devices. Overall, the Spree headband was reliable for measuring heart rate in bpm, given that the Pearson’s r coefficient is relatively close to 1.0. On the other hand, this device is unreliable for measuring the temperature in Fahrenheit, given that the r coefficient is fairly close to 0.0.
The design flaws include the device’s continued inability to stay connected to the phone app via bluetooth, the temperature is measured in levels rather than precise temperature readings, the device keeps slipping off the user due to sweat, and there was a large variance in heart rate when the conditions were similar and the user was immobile. In addition to these things, the Spree was obvious in appearance and caused chafing on the forehead.
With that being said, Spree lacks the accuracy of calculating caloric data. The caloric measurement is based solely on height and weight. It doesn’t take account the user’s fat percentage, muscle mass, resting heart rate, and pre-existing health conditions of the user such as high blood pressure, diabetes, and high cholesterol. For optimal results, Spree should record the user’s fat percentage and muscle mass to ideally calculate the number of calories burned. Also, Spree should be able to calculate the user’s resting heart rate to reveal the optimal target heart rate for the user during aerobic activities. In the end, Spree is acceptable for beginner users that want a kickstart in the health and fitness lifestyle. However, overall, Spree is not efficient for long-term fitness users.
LAB 3B: Device Development and Marketing
Target Population and Need
The target population for our “Swole Strap” device is gym regulars and physically active people trying to improve their personal health. A large portion of these people live in urban areas, and more precisely large cities. In these urban areas, more gyms are available, and thus, more people visit gyms for the benefit of exercise. According to the United States’s government data, thrity-five to fourty-four percent of adults are physically active, and therefore, our device targets this proportion of the country (http://www.fitness.gov/resource-center/facts-and-statistics/).
In a progressive health-oriented society, a significant portion of the population wants a device that can measure various aspects of their personal health. A large demographic benefits through this device due to its ability to effectively monitor different body temperatures, cholesterol levels, and heart rates. This device would advance the health standards and measures for our society.
Problem Understanding Form:
The Swole Strap comes in the colors of red, pink, white and black
-The black inner rim of the strap is the sensor that analyzes the Heart rate, temperature, and mass of carbohydrates
-The outer area of the band is made with synthetic materials, implying approximately 70% spandex and 30% Nylon.
From a population of healthy adults, one-hundred adults were chosen as subjects by assigning each adult a number and then pulling the numbers from a hat. The first one-hundred numbers picked were the subjects. One-hundred adult subjects were each assigned a number, one or two, at random. If they received a one, they completed the test with the Swoll Strap first, recording temperature, heart rate, and carbohydrate levels. If they received a two, they completed the test with the Gold Standard devices first, recording temperature, heart rate, and carbohydrate levels. They then switched devices for the second trial. The mean, standard deviation, and standard error were calculated for each device measurement (heart rate by device, heart rate by Gold Standard, etc.). P-values and Pearson’s r coefficient was calculated between the gold standard device and the Swoll Strap to test for significant differences and linearity, respectfully.