BME100 s2017:Group4 W1030AM L3

BME 100 Spring 2017	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: Your name Name: Chase Wallace Name: Nicholas Holmes Name: Kyle Xue Name: Your name Name: Your name LAB 3 WRITE-UP Descriptive Stats and Graph Inferential Stats T-test(paired) Is there a statistically significant difference between recorded heart rates? Since p-value = 0.421712 > 0.05 there is not a statistically significant difference between the recorded heart rates of the Spree Headband and the Pulse Oximeter. T-test(paired) Is there a statistically significant difference between recorded temperatures? The paired t test of the gold standard thermometer and the Spree headband yielded a p value of 1.09676E-21. Since this value is less than 0.05, there is a statistically significant difference in the temperatures measured between the Spree Headband and the gold standard thermometer. Design Flaws and Recommendations(Analysis Conclusions) Statistical Conclusions We found that in both both cases, the pearson's r supported the conclusion determined from the analyzing the p-values. Heart Rate The value of the pearson’s r supports the conclusion of the t-test because the moderately high value indicates that there is at least a moderately strong correlation between the data points taken from the Spree Headband and the pulse oximeter. Temperature The value of the pearson’s r supports the conclusion of the t-test because the low value indicates a weak correlation between data points from taken from the Spree Headband and the gold standard thermometer. Experimental Design of Own Device Our prototype will be tested against the LUCAS II(an automatic chest compression device) as our Gold Standard. We will set up two experiments (one comparing depth and the other rate of compressions) to test how accurately and effectively our prototype functions. Experiment 1 (depth test): First, we will obtain two identical CPR dummies, which have similar properties as a human chest. On the dummy, we will place a depth sensor and use a camera to measure how far the machine compresses each dummy chest. Effective CPR should have a compression depth of 1.5-2inches. Our gold standard will have a compression depth of 2 inches. During this experiment, we will ensure the device allows the chest to recoil completely by making sure that the depth resets to 0 each time so that we take accurate depth measurements. Each of the machines will compress 100 times, and we will record the data. Then, an unpaired t-test will be performed to determine if the difference in compression depth between the two machines is statistically significant. Experiment 2 (rate of compression test): In a second experiment, we will set up the dummies and machines in the same way as in the first experiment. However, in this experiment, we will measure how fast how many compressions each machine performs in a set amount of time, their rates of compression. Standard CPR should run from 100 - 120 compressions per minute. Our gold standard will have a rate of compression of 100 compressions per minute. This experiment will compare our device to the gold standard’s compression rate.The chest compressors will run for 1 minute time intervals and the number of compressions performed will be recorded. We will repeat this experiment at least 30 times and afterwards use an unpaired t-test to determine if there is a statistically significant difference between the rates of compression for the two devices and if our device’s compression rate falls under the standard rates of compression.