BME100 s2014:T Group3 L3

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Contents

OUR TEAM

Name: Maria C. Morrow
Name: Maria C. Morrow
Name: Jaquelyn Corr
Name: Jaquelyn Corr
Name: Kazhan Kader
Name: Kazhan Kader
Name: Sayer Aldaady
Name: Sayer Aldaady
Name: Hannah Spehar
Name: Hannah Spehar


LAB 3A WRITE-UP

Descriptive Statistics

Oral Temperature Mean: 96.6 degrees

Sensor Temperature Mean: 97.5 degrees


BP Cuff Mean: 120 mm Hg

Watch Sensor Mean: 113 mm Hg


Pulse Ox Mean: 87.1 beats per minute

Watch Sensor Mean: 84.9 beats per minute


Oral Temperature Standard Deviation: 1.75 degrees

Sensor Temperature Standard Deviation: 1.25 degrees


BP Cuff Standard Deviation: 18.2 mm Hg

Watch Sensor Standard Deviation: 14.0 mm Hg


Pulse Ox Standard Deviation: 17.4 beats per minute

Watch Sensor Standard Deviation: 15.7 beats per minute


Temperature Error: 0.930%


BP Error: 5.83%


Pulse Error: 23.1%




Results

Graphs of Results



Analysis

We selected T-Test for all three comparisons because they are comparisons between only two groups. The T-Tests are paired because the same subject is being tested with different equipment.


Temperature T-Test P Value: 8.09E-13

BP T-Test P Value: 1.20E-06

Pulse T-Test P Value: 1.41E-03

The P Values are all less than 0.05 which means that there's above a 95% chance that the results are accurate so the results are significant.




Summary/Discussion

There were numerous flaws with the devices. Design flaws of the temperature sensor device include difficulty getting the device to connect to the phone, the requirement of using an iPhone, having to put the device under your arm is uncomfortable because you have to tape it and there is sweat and arm hair, and there is no easy way to do long term temperature monitoring. One flaw in the design of the experiment was different temperatures were being taken because different spots of the body will have different temperatures. The sensor device could be improved by making it compatible with other phone types and having a smaller device with adhesive like a bandaid to improve ability to do long term temperature monitoring. The experiment design could be improved by taking the temperature of the same place on the body with different devices. The watch sensor is flawed because you are comparing the blood pressure in different arteries which are most likely different values. This flaw could be fixed by comparing devices that are measuring blood pressure of the same artery in the same spot. Even the golden standard for the blood pressure cuff was not very user friendly; this issue could be fixed with more accurate and helpful instructions.




LAB 3B WRITE-UP

Target Population and Need

The target population is athletes because they are the most likely group to become dehydrated. This device is critically needed by this target group because athletes can easily become dehydrated, and when they are unaware of their dehydration, they continue working out which endangers their health and safety.



Image:hydro band.png==Device Design==





Inferential Statistics

Five subjects and five trials per subject

Subject 1 Blood Test Average: 7.32 Subject 1 Sweatband Average: 7.32

Subject 2 Blood Test Average: 7.12 Subject 2 Sweatband Average: 7.16

Subject 3 Blood Test Average: 11.82 Subject 3 Sweatband Average: 11.82

Subject 4 Blood Test Average: 11.36 Subject 4 Sweatband Average: 11.38

Subject 5 Blood Test Average: 5.84 Subject 4 Sweatband Average: 5.84

Blood Test Average: 8.69 Sweatband Average: 8.70

T-Test P-Value: 0.995 No significant difference between the results of the two devices thus proving the validity of our device because it produces the same results as the gold standard blood test

Pearson's: 0.999



Image:bme100graph.jpg==Graph==






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