BME100 f2015:Group6 8amL3

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Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3
Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6
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OUR TEAM

Name: Zach Humphreys
Name: Anuj Agrawal
Name: Blake Browning
Name: Kianna Browning
Name: Colten Hedrick
Name: Cameron Mcallister

LAB 3A WRITE-UP

Descriptive Statistics

Mean Temperature for Gold Standard Group: 97.275 degrees Fahrenheit

Mean Temperature for Spree Group: 98.682 degrees Fahrenheit

Mean Heart Rate for Gold Standard Group: 95.643 Beats per minute (bpm)

Mean Heart Rate for Spree Group: 96.700 bpm

Standard Deviation of Temperature for Gold Standard Group: 1.0234 degrees Fahrenheit

Standard Deviation of Temperature for Spree Group: 1.288 degrees Fahrenheit

Standard Error of Temperature for Gold Standard Group: 0.053 degrees Fahrenheit

Standard Error of Temperature for Spree Group: 0.066 degrees Fahrenheit

Standard Deviation of Heart Rate for Gold Standard Group: 23.0112 bpm

Standard Deviation of Heart Rate for Spree Group: 23.419 bpm

Standard Error of Heart Rate for Gold Standard Group: 1.235 bpm

Standard Error of Heart Rate for Spree Group: 1.259 bpm



Results



Heart rate graph edited2.png


Tempthing.png

Analysis

Using a paired, two-tail t-test for comparing the differences between heart rate using the Gold Standard and heart rate using the Spree headband, we calculated a p-value of .0998, which is above the alpha level, .05 . Therefore, there is not a significant difference between heart rate readings for the Gold Standard vs for the Spree. We also calculated that the Pearson's r coefficient for the Spree heart rate readings vs the Gold Standard heart rate readings is .887, which shows a fairly strong positive correlation between the two readings. A heart rate reading using the Gold Standard is a fairly good predictor of its corresponding heart rate reading using the Spree.

Using a paired, two-tail t-test for comparing the differences between temperature using the Gold Standard and using the Spree, we calculated a p-value of 2.33x10^-57, which is far under the alpha level, .05 . Therefore, there is a significant difference between temperature readings for the Gold Standard vs for the Spree. We found a low correlation between temperature readings for the Spree headband vs for the Gold standard, with a Pearson's r coefficient of .251 . Temperature reading from the Gold Standard is not a good predictor of the corresponding temperature reading using the Spree.

We used a t-test for both heart rate and temperature because in each, we were comparing differences between two groups. The groups are paired because the same subject was used to measure the value from the Gold standard and from the Spree value at each time interval. We used a two-tailed test for both temperature and heart rate because we are investigating the probability of the Spree values' being below or above the Gold Standard values for both tempearture and heart rate.





Summary/Discussion

The Spree headband device had some important flaws that made the device not so great. One of the problems with the Spree device is the way it shows temperature. Instead of giving a direct temperature it just shows a circle with 4 different color lines. It goes from one to four, one being the lowest temp and four the highest. A way that this might be able to be improved is giving a rough estimate number of ones temperature by measuring how hot the forehead is. The colored lines could mean a lot of different numbers for the many possibilities that someone's temperature could be. The biggest design flaw that our group came across was the bluetooth. It took far too many tries to first actually be able to connect the phone to the headband and then once connected, it would constantly disconnect and reconnect. A solution to this problem would be to have a better bluetooth chip in the device that will allow for better connectivity. Or to use something other than Bluetooth, like wifi-direct. This is just like bluetooth but allows for better range and more data transfer which might enable phones to pair better with the device. Overall, this is a good concept design but could be better with the fixes of these flaws.




LAB 3B WRITE-UP

Target Population and Need

The target population for our device is any individual who would like to maintain their physical health. This broad target population will lead to more success for device sales. The need arises from the desire to know bodily readings such as heart rate, weight, and body fat. This is important because it allows people to figure out their own bodily readings to understand areas they may need improvement or to understand when they need to go seek a trained medical professional. Potentially, anyone seeking a new mattress is a consumer of our device; the market is as broad as hundreds of millions of people, provided they have the money and will to purchase the Z fit pad.

Device Design

It will be a mattress pad that measures an individual throughout the night while they sleep.

Bedding--diagram.png


Problem Understanding Form PUF3.png




Inferential Statistics

Inferential Statistics for Heart Rate Infer Stats HR.png


Inferential Statistics for Body Weight Infer Stats Body Weight.png


Inferential Statistics for Body Fat Infer Stats body fat.png




Graph

Results for Heart Rate

Z fit heart rate.png Correlation Heart Rate Z fit.png


Results for Body Weight

Z fit body weight.png Correlation Body weight z fit.png


Results for Body Fat

Body fat Z fit.png Correlation Body fat Z fit.png