BME100 s2014:T Group2 L3

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Contents

OUR TEAM

Name: Alexander Jones
Name: Alexander Jones
Name: Daylin Morgan
Name: Daylin Morgan
Name: Hannah Churchill
Name: Hannah Churchill
Name: Bateer Song
Name: Bateer Song
Name: Ekanem-Essang Akpan
Name: Ekanem-Essang Akpan

LAB 3A WRITE-UP

Descriptive Statistics

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Analysis

A paired t-test was used in our experiment. The values of each of the trials shows the fewer discrepancies. For temperature, due to it’s small 9.31E-13 value from the t-test, there is a proven close relationship between the sensor and oral component. Compared to the other 2 trials and according to the t-test, the temperature sensor did a much better job mimicking the results of the traditional thermometer. What made the t-test so important for each trial was because our group could make a head-to-head comparison of each product. We could see how close the new product was performing with the trusted old.


According to the p-values in pulse and blood pressure, the watch falls short in meeting varied outcomes. Data was taken in differing circumstances which were accurately depicted by traditional tools of measurement yet missed by the watch. Pulse's 0.1187 value was by far the largest of the data set. The sensor really fell short here measuring heart rate.



Summary/Discussion



The gold standard for measuring temperature was found to have a smaller standard deviation than the under the arm sensor. This device not only suffered errors of measurement but Bluetooth connectivity of the device was very flawed. First important improvement would be its ability to measure the temperature, after that would be ensuring the device stays connected to the phone of the user.

The devices which measured blood pressure had a lot smaller variation in standard deviation, but there was over a 10mm Hg difference in the value of the means. The watch had lower overall measurements suggesting that it is prone to underestimate the blood pressure. Perhaps this is because of where it is being measured, it might be more effective if the device was adapted to be used on the bicep.

The results of the pulse ox and the watch were very similar to the blood pressure devices. The watch sensor was lower overall than the pulse ox and had a higher degree of variability. It would be essential to improve the accuracy of the device, this might also be accomplished by taking measurements at the bicep as opposed to the wrist because the pulse should be stronger.

LAB 3B WRITE-UP

Target Population and Need

The target population for our device, the Smellulator, is someone from an age range of about 5+ that is suffering from Anosmia. Anosmia is a broad term for anyone that has permanent loss of smell. This could be as a result of some head trauma, a neurological condition, smoking or a wide range of other causes. Our device works similar to a cochlear implant, by restoring loss or damaged portions of the Olfactory system. The device monitors the chemicals in the air near its chemo-receptors located in two ends which are inserted into the nostrils. It transmits the information it receives from monitoring the chemicals to an external processor which is linked to an internal connection to the olfactory nerve.



Device Design

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Inferential Statistics

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For the data as a way to measure the Smellulator's effectiveness, 2 groups of people were ask to take Smell Identification Test. These can be bought online. First the Anosmia patients took the test without the device, then after having the device installed they took the test again. One other group of subjects without any serious nasal perception deficiencies was measured as a control. There was a dramatic increase in patients ability to smell after the application of the device. The subjects' average score was very close to the control average only differing by .5. Using an ANOVA test the data was found to be statistically significant given the p-value was very low.

Graph

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