BME100 f2016:Group12 W1030AM L3

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Contents

OUR TEAM

Name: Ryan Shannon
Name: Ryan Shannon
Name: Aly Carlson
Name: Aly Carlson
Name: Adin Roemer
Name: Adin Roemer
Name: Ryan Faust
Name: Ryan Faust
Name: Kyle Tappendorf
Name: Kyle Tappendorf
Name: Your name
Name: Your name

LAB 3 WRITE-UP

Descriptive Stats and Graph

Heart Rate:
Mean of Gold Standard: 98.08976898
Standard Deviation of Gold Standard: 23.03054395
Mean of Spree: 98.95379538
Standard Deviation of Gold Standard: 24.87753802


Temperature:
Mean of Gold Standard: 96.64716049
Standard Deviation of Gold Standard: 1.918462545
Mean of Spree: 95.5308642
Standard Deviation of Gold Standard: 0.870378299

*indicates significant difference between two values




Inferential Stats

Heart Rate T-Test: 0.427116193
Heart Rate Pearson R: 0.690806489
Temperature T-Test: 1.09676E-21
Temperature Pearson R: 0.192798089

Pearson's r for heart rate is closer to 1 than it is to 0, therefore there is a positive correlation between the gold standard and spree tests. If the value of the t-test is below 0.05 that means that there is 95% confidence level that a difference exists between the two values. The t-test value if above 0.05 which means that it is not certain that there is a difference between the gold standard and spree. For the spree testing, above a 0.05 was desired because we wanted the values to be as close as they could be.
Pearson's r for temperature is closer to 0 than to 1, therefore there is no correlation between the gold standard and spree tests. The value of the t-test is below 0.05 which means there is a 95% confidence level that the two tests are different. This is not desired because the temperature reading of the gold standard and spree headband should be as close as possible in order for the spree headband to be an accurate product.

Design Flaws and Recommendations

Design Flaws

Compared to the gold standard, the spree headband records its temperatures in a way that is not as specific as the gold standard. There appears to be no correlation between the temperatures taken by the Spree headband, and the gold standard. The Spree headband records its temperatures in very generic ways, only able to list them in whole numbers such as 95, 97, etc., while the gold standard is able to record the temperatures of the wearer with very high accuracy, ranging from 94.2 to 97.86. Another flaw in the temperature recording is that the forehead is an unreliable location to measure temperature.

When recording the heart rate of the wearer, there was a slight, positive correlation between the Spree headband and the gold standard. There do not seem to be any design flaws in the Spree headband that would cause this correlation.


Recommendations
Improvement in the accuracy of the Spree headband would be one major recommendation. While whole number temperatures are probably sufficient for most people, more accuracy would be nice. Also, since the forehead is an unreliable location to measure temperature, the Spree headband should be converted into a wristband or armband, where the location is a more accurate place to measure temperature.



Experimental Design of Own Device

Our glucose monitor will require testing with 100 randomly selected type 2 diabetes patients. The participants will receive a blood test glucose monitor for the first part of the experiment to get baseline numbers. For the second part of the experiment, the group will receive our glucose monitor to see if our data is accurate. During both parts of the experiment, participants will be required to lead the same lifestyle, diet, and exercise that they would normally have, but make similar lifestyle choices from the first part to the second part.

Inclusion Requirements: 18 to 75 years of age. Sign a consent form prior to clinical trials. Type 2 diabetes diagnosed 12 months prior to trial.

Exclusion Criteria: Already participating in another study. Any disease which may inhibit compliance to directions for the study. Any chronic disease which may inhibit accurate readings. Chronic skin problems located on the wrist. Pregnant or breast-feeding women.

Independent Variable: Blood test glucose monitor. Blood glucose levels of blood test monitor.

Dependent Variable: Laser sensing glucose monitor. Glucose levels of laser sensor monitor.

Predicted Outcome: If the design for our product is correct, then the values we get for the laser sensing blood monitor should be similar, if not equal, to those of the blood test glucose monitor.

Reasoning: Taking a large group of 100 individuals allows us to account for any variance that each individual may have in their glucose levels. In order to ensure that the laser sensor is accurate, we will compare those results with those taken from the gold standard, a blood glucose monitor. We will test the device under the conditions of a normal lifestyle for each patient. This is done to ensure that the laser monitor can be used under normal conditions and will give the same accuracy that the blood test monitor would under the same conditions. The inclusion and exclusion criteria are set in place to ensure that the data can cover a large range of people while excluding those with conditions which may affect the accuracy of measurements that either glucose monitor may take. Finally, the independent variables are the blood test monitor and results while the dependent variables are the laser monitor and results. We will use the blood test as a control to which we can compare the laser monitor results.

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