BME100 s2015:Group13 12pmL3

BME 100 Spring 2015	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: Tina Monteilh Name: Trisha Dasgupta Name: Riley Baranek Name: Payson Wallach Name: Robel Okbe LAB 3A WRITE-UP Descriptive Statistics Average and Standard Deviation for Heart Rate Average and Standard Deviation for Body Temperature Results Heart Rate Measurement Comparison Body Temperature Graph Analysis Name: T-Test and Pearson's R results for body temperature Name: T-Test and Pearson's R results for Heart Rate Summary/Discussion Heart Rate The T-test value calculated for the data was 0.914000597. As this is much greater than 0.05, the results for heart rate are not statistically significant. The Pearson's R value was concluded as 0.567. The R value is meant to determine the correlation between the gold standard and the Spree. Based of the value 0.567, it can be concluded that the correlation is positive but not very strong (as a very strong and positive correlation is shown by an R-value of 1). Temperature By using a T-Test to analyze the data, a value of 5.60506E-20 was found. In order for the value to be significant, the T-Test must be less than 1.2853E-4. This value was found by dividing the acceptable error of .05 by the number of input values (389). Our number was significantly less than this, therefore our data is statistically significant. A Pearson's R test was then ran to determine the correlation between our gold standard and the Spree's measurements. The value found for this test was -0.056089381. A value close to -1 or 1 indicates strong negative or positive correlation respectively. The result of the test was close to 0, indicating very little correlation between the data sets. LAB 3B WRITE-UP Target Population and Need Our device targets people of all ages, and particularly athletes, those who work in strenuous, hot environments, such as construction workers, or even the military. Another major population target will be those affected by severe illnesses that cause dehydration. Every year there are about 2 million deaths every year due to severe dehydration due to illness. The patients will be able to detect their hydration levels and fix them before their health is majorly affected. The device also is able to detect electrolyte levels, particularly those of sodium and potassium, through sweat detection. This is most important for those who are active, since they will be able to know if they need more potassium to prevent cramping, or sodium to replace what they've lost through sweat. Device Design An elastic band lined with electrodes sends weak electrical current through the trunk of the body. A bluetooth-enabled device, such as a smartphone, analyzes the change in impedance properties to and uses information given by the user (Height, weight, age, gender, etc.) to determine the water content of the body. Additional sensors lined around the inside of the band will collect sweat and measure sodium and potassium cation concentrations, critical electrolytes required by the body, to estimate overall electrolyte loss. The paired bluetooth device displays this information to the user, who can set alerts if water content fall below a given threshold. Inferential Statistics Graph Electrolyte Balance-Potassium Electrolyte Balance-Sodium