BME100 f2014:Group30 L3: Difference between revisions

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Below is a graph of the average heart rate for each condition group measured with each device: <br>
Below is a graph of the average heart rate for each condition group measured with each device: <br>
[[Image:Screen Shot 2014-09-30 at 10.38.49 PM.jpg]]
[[Image:Heart_Rate_Group_30.png]]


The means seem to be very similar to each other for all groups, but whether they are significantly different or not will be tested in the inferential statistics.
The means seem to be very similar to each other for all groups, but whether they are significantly different or not will be tested in the inferential statistics.

Revision as of 22:52, 30 September 2014

BME 100 Fall 2014 Home
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Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3
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OUR TEAM

Name: Calvin Baumgartner
Name: Brittney Wong
Name: Brody Kilgore
Name: Kyle Lindley
Name: Robin Skaria
Name: Megan Wieser

LAB 3A WRITE-UP

Descriptive Statistics

Below is the descriptive data for the body temperature measurements for each condition group and measurement method.

Below is a graph comparing mean body temperatures in degrees Fahrenheit for each condition group (average body temperatures before, during, and after walking exercise) and each method of measurement (spree band or gold standard).


Below is the descriptive data for the heart rate measurements for each condition group and measurement method.



Below is a graph of the average heart rate for each condition group measured with each device:

The means seem to be very similar to each other for all groups, but whether they are significantly different or not will be tested in the inferential statistics.

Results

After performing a t-test, it was found that the p-values for temperature before, during, and after the walk were 5.57*10^-46, 4.4*10^-156, 4.51*10^-64, respectively. The fact that each value is less than the value 0.05 indicates that there is a significant difference between the average body temperatures.

These very small p-values mean that there is such a significant difference between the spree and the gold standard that there is almost no connection at all between the data values of the two tests. If the nominal values of the spree do in fact mean the body temperature values it says it does, then it clearly doesn't work effectively.

Pearson's R Correlation:

In regards to heart rate, the p-values were .701029 for the resting group, .47918 for the walking group, and .06193 for the cool down group.

Since all of the p-values are greater than .05, the experimenter can be confident that the spree works effectively. The cool down value is the most different from the gold standard. This is because the spree takes a little while to adjust to a changing heart rate. While it still statistically works for cool down, it works especially well for measuring an unchanging heart rate.

Pearson's R Correlation: The temperature Pearson's R value for resting was

The Pearson's R Coefficient of Correlation for The resting heart rate while resting comparison was 0.9079. The value while walking was 0.8519. The value while cooling down was 0.9404. These are fairly high. This means there is a correlation between the spree values and the gold standard heart rate values.

The Pearson's R Coefficient of Correlation for the entire heart rate data set was 0.9079. This means that as a whole, the two methods correspond with or are related to one another. Since there is correlation between the two methods, it is valid to conclude that the spree band is an accurate method to measure heart rate.

Analysis

The data collected in this experiment clearly displays that the device is inaccurate in comparison to the gold standard for temperature. With P-values that are extremely low, and significantly different standard deviation in both heart rate and temperature, the data does not line up enough for the device to be reliable. The reasoning for these results is that the Spree gives us only four values for temperature, while the thermometer gives us a wide range of temperatures. This causes a lot of variation in the data, resulting in error. The Spree also measures external temperature (skin temperature), while thermometers measure core body temperature.The body is constantly trying to balance temperature through homeostasis, so it is likely that the temperature of the skin is different than the core body temperature. This also results in variation in temperature. Other errors that could have affected the end results of the experiment could be but are not limited to: bluetooth connection issues, human error in taking heart rate by hand, and the thermometer was not stationary while it was taking temperature of the walking subject. As for heart rate, the Pearson's R value shows that the correlation was quite high, all flirting with the value of 90%. This tells us that one could argue that the Spree is relatively reliable for the measurement of heart rate.



Summary/Discussion

  • go into more depth about the errors*

With the Spree band, we concluded that the temperature measurement is very inaccurate. The first reason for error is that the spree measures the temperature and displays it as 4 different levels with a range of values. These values were given degree values to use for analysis, and when using these degree conversions, we concluded that they are very inaccurate when compared to the data that we collected from the gold standard device that we used. Another error with the temperature measurement was the fact that it measures external temperature. This is what caused the inaccurate results because the external temperature is not the same as the internal temperature of the human body. The skin will vary in temperature to try and help maintain the desired internal body temperature, so the Spree band will read an inaccurate measurement.




LAB 3B WRITE-UP

Target Population and Need



Device Design



Inferential Statistics



Graph