BME100 f2014:Group1 L3

BME 100 Fall 2014	Home People Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3 Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6 Course Logistics For Instructors Photos Wiki Editing Help
OUR TEAM Name: Hawley Helmbrecht Name: Sarah Fakhoury Name: Prerna Gupta Name: Jonathan Riecker Name: Michael Pineda Name: Timothy Black LAB 3A WRITE-UP Descriptive Statistics Temperatures: Pre-Walk Gold Standard Mean:97.60948454 Standard Deviation:0.799875691 Standard Error:0.057133978 Spree Mean:102.7321429 Standard Deviation: 3.108117663 Standard Error:0.239085974 Walk Gold Standard Mean: 97.52661616 Standard Deviation:0.859610943 Standard Error: 0.043753045 Spree Mean:104.39 Standard Deviation:3.015023339 Standard Error:0.145566699 Cooling Down Gold Standard Mean:97.94715152 Standard Deviation: 0.778495679 Standard Error: 0.060605806 Spree Mean:103.0869565 Standard Deviation:1.851275553 Standard Error: 0.158165144 Results Average's graphs for Temperature and Heart Rate Pearson's R Correlation Graphs Analysis A paired T-test was used because the comparison was between two groups of related data. T-Test:Temperature Before Walk (p-value):5.86082E-46 During Walk (p-value):2.7657E-155 Cool Down (p-value):1.98512E-63 Pearson's R Values Heart Rate Before Walk: 0.87175 During Walk: 0.89894 Cool Down: 0.94012 Temperature Before Walk: 0.120901 During Walk: 0.034639 Cool Down: -0.173197 Summary/Discussion Possible Improvements: Some design flaws on the Spree fitness headband include the temperature scale on the app, the design of the headband itself, and the range of the sensor. Recommendations to compensate for these design flaws include creating a sensor to accurately read temperature and instead of the current scale based off a qualitative range. In order to improve the design of the headband itself, the material of the headband could be changed in order to better absorb sweat and make the headband more attractive, instead of a removable block sensors the sensors could be embedded across the headband for more accurate readings, the shape could be changed for a more aesthetic appeal, and different sizes of the headband could be made available for a better fit among customers. Another way to improve customer satisfaction would be to create a universal app that allows both android and iphone users to utilize this health utility. A final way to improve the app would be to design the sensors in the headband so that they can store data and not always have to be within range of the phone. LAB 3B WRITE-UP Target Population and Need The Target Population of this monitoring device ranges from athletes to individuals who prefer or require constant monitoring of the exercise and health status. Need for this device include Device Design Inferential Statistics Graph