BME100 s2017:Group10 W8AM L3

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OUR TEAM

Name: Airam Coronel
Name: Vanessa Trujillo
Name: Emily Tanner
Name: Max Darst
Name: Ali Ahmed
Name: Your name

LAB 3 WRITE-UP

Descriptive Stats and Graph

Temperature
Mean:
Gold Standard: 96.64716
Spree: 95.53086
Standard Deviation:
Gold Standard: 2.510229
Spree: 2.12132
Pearson's Correlation: 0.192798089

Heart Rate
Mean:
Gold Standard: 98.0897
Spree: 98.9538
Standard Deviation:
Gold Standard: 23.03054
Spree: 24.87754
Pearson's Correlation: 0.690806489



Inferential Stats

Temperature
Correlation: 0.193
T-test: 1.1*10^-21

Heart Rate
Correlation: 0.691
T-test: 0.427


Summary of Statistical Results and Conclusions

This lab investigation required the lab group to compare and analyze the results of an experiment that evaluated the accuracy of the Spree temperature and heart rate monitoring device against the Gold Standard measurement devices. The group found that the correlation coefficient between the two devices when tracking heart rate was 0.6908, indicating that the Spree device was fairly accurate compared to the Gold Standard pulse ox. However, the correlation coefficient between the oral thermometer and the Spree headband was only 0.1927, meaning that there was very little correlation and therefore minimal accuracy. The p-value for the data concerning temperature readings was 1.09E-21, which is extremely small, and thus further indicates that the data is too different to be significant. If the p-value for two data sets is smaller than 0.05, then the data is significantly different and therefore is an indicator of poor accuracy between the data sets. The p-value for the heart rate data was 0.427, which is much greater than 0.05, so it is a sign that the data is not so different that it is statistically significant. This is a good sign when comparing data sets. From this calculated data, it can be concluded that the Spree headband is not accurate when it is monitoring body temperature, but that it is fairly accurate when tracking heart rate.




Experimental Design of Own Device

Before any testing is done the patients' fasted glucose levels would be measured. This level can be recorded after the patient has not eaten for a period of approximately 8 hours. This can typically be measured immediately after a patient wakes up in the morning. After measuring the fasted glucose, the unique amount of insulin that each individual patient needs can be determined. At least twenty people would be needed to participate in the first stages of the clinical trial. The experiment would be done by having the patient wear the designed insulin patch that will inject insulin for them. The patients will be tested hourly for their glucose levels in the first 8 hours then measured every 2 hours for the next 8 hours. After the initialization period the patient's glucose levels will be monitored twice a day to check the effectiveness of the device. The patients wear the device in everyday life for a week long period. After the test is completed each patient will fill out a comprehensive review sheet based on their satisfaction.