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 Pre-Walk Gold Standard Mean: 97.6 Standard Deviation: 0.799 Standard Error: 0.0571 Spree Mean: 102.7 Standard Deviation: 3.11 Standard Error: 0.239 Walk Gold Standard Mean: 97.527 Standard Deviation: 0.860 Standard Error: 0.0438 Spree Mean: 104.39 Standard Deviation: 3.015 Standard Error: 0.146 Cooling Down Gold Standard Mean: 97.947 Standard Deviation: 0.778 Standard Error: 0.0606 Spree Mean: 103.1 Standard Deviation: 1.85 Standard Error: 0.158 Heart Rate Pre Walk Gold Standard Mean: 79.2 Standard Deviation: 13.0 Standard Error: 1.01 "Spree" Mean: 81.0 Standard Deviation: 15.0 Stand Error: 13.0 Walk Gold Standard Mean: 101 Standard Deviation: 21.0 Standard Error: 1.01 Spree Mean: 101.0 Standard Deviation: 21.0 Standard Error: 1.11 Post Walk Gold Standard Mean: 84.0 Standard Deviation: 18.0 Standard Error: 0.906 Spree Mean: 84.0 Standard Deviation: 17.0 Standard Error: 0.898 Results Average's graphs for Temperature and Heart Rate The golden standards mentioned in these graphs are as follows: Temperature: An Oral Thermometer Heart Rate: The Pulse Oxidation Wrist Monitor Stars denote significance, four stars being very significant, one star denoting a low significance, no stars denotes no significant difference 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 T-Test: Heart Rate Before Walk (p-value): During Walk (p-value): Cool Down (p-value): 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 Spree headband 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 Device Design Inferential Statistics Graph