BME100 f2015:Group10 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: Amity Jackson
Name: Jose Luis Rivera
Name: Jarrett Eshima
Name: Katarina Junio
Name: Sheldon Cummings
Name: Diba Pourazar

LAB 3A WRITE-UP

Descriptive Statistics

Heart Rate Results:
Gold Standard:

  • Average: 95.65994236 bpm
  • Standard Deviation: 23.04242589 bpm
  • Standard Error: 1.240562508 bpm
  • Count: 345

Spree

  • Average: 96.7942029 bpm
  • Standard Deviation: 23.45036745 bpm
  • Standard Error: 1.262525343 bpm
  • Count: 345



Temperature Results:
Gold Standard:

  • Average: 97.27482759 degrees F
  • Standard Deviation: 1.023957194 degrees F
  • Standard Error: 0.05273647851 degrees F
  • Count: 377

Spree

  • Average: 98.79310345 degrees F
  • Standard Deviation: 1.19825013 degrees F
  • Standard Error: 0.06171302144 degrees F
  • Count: 377




Results

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Analysis

Heart Rate
T-Test: 0.5212420626
Pearson's R: 0.6598688743

For the heart rate, the T-test showed that there was no significant difference among the means of the blood pressure cuff and the Spree headband, as the p-value was greater than 0.05. The Pearson's R showed that there was a weak positive correlation between the variables. A T-test was used because there were only two sample groups being compared.

Temperature
T-Test: 2.16986E-64
Pearson's R: 0.1962487134

For the heart rate, the T-test showed that there was an extremely significant difference among the means of the thermometer and the Spree headband, as the p-value was much smaller than 0.05. The Pearson's R showed that there was very little correlation between the variables. A T-test was used because there were only two sample groups being compared.





Summary/Discussion

When analyzing the equipment used for the experiment, a few flaws were recorded. The most apparent flaw with the Spree technology was its inability to give a numerical statistic for the body temperature reading. Temperature was given in "levels" which was unhelpful when trying to analyze the difference between the thermometer and the Spree temperature readings. The second flaw recorded was with the Blood Pressure Cuff. The equipment had to be held in a very specific manner for it to record temperature and heart rate properly. Occasionally, there would be incorrect readings from the cuff because of the way it was held.

Recommendations for a future, improved spree product include: implementation of a temperature reading device that outputs body temperature in degrees Fahrenheit, using a fabric instead of the rubber/plastic material to improve comfort and the ability for the device to stay on the head, and implementing a way to collect sweat and preventing it from getting between the material.




LAB 3B WRITE-UP

Target Population and Need

Our product, SmartSole, is an insole for shoes that acts as both a pedometer and a pressure sensor for feet. Our target population would mainly be athletic runners, as this device would be helpful especially for gauging the pressure of their feet to identify if they are running incorrectly. SmartSole would also be helpful for people going through podiatric therapy or people with walking issues. Not only would SmartSole help correct their walking patterns, but their step and pressure information would be able to be shared with doctors through a cellphone app. The easy-accessibility of this information is a convenient, innovative way for consumers to constantly monitor their walking patterns.



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Device Design

SmartSole has a sleek design that comes in many sizes and can easily slip into any shoe. The insole comes with multiple built-in pressure sensors to measure the pressure of the entire foot.
Aerial view of the SmartSole. 5 pressure sensors (orange patches) are evenly dispersed on the insole.
Aerial view of the SmartSole. 5 pressure sensors (orange patches) are evenly dispersed on the insole.
Side view of the SmartSole (1).Side view of the SmartSole (2).
Side view of the SmartSole.
Rear view of the SmartSole.
Rear view of the SmartSole.
Front view of the SmartSole.
Front view of the SmartSole.
Bottom view of the SmartSole.
Bottom view of the SmartSole.
The sleek design of the SmartSole allows it to easily slip into any shoe type.
The sleek design of the SmartSole allows it to easily slip into any shoe type.




Inferential Statistics

Number of Steps:
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Pressure (Ball):
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Pressure (Heel):
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Pressure (Outer Side):
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Graph

Number of Steps:

The graphs of the two data sets show that there is no significant difference between the two devices. This is because the p-value (0.995460375) is greater than 0.5. This proves that the SmartSole is just as reliable as the HTC Vive in counting the number of steps taken.


Pearson's R Coefficient= 0.999976923



Pressure (Ball):

The graphs of the two data sets show that there is no significant difference between the two devices. This is because the p-value (0.981718567) is greater than 0.5. This proves that the SmartSole is just as reliable as the Foot Plantar Measurement System in measuring the pressure of the ball of the foot.


Pearson's R Coefficient= 0.998374942



Pressure (Heel):

The graphs of the two data sets show that there is no significant difference between the two devices. This is because the p-value (0.985335871) is greater than 0.5. This proves that the SmartSole is just as reliable as the Foot Plantar Measurement System in measuring the pressure of the heel of the foot.


Pearson's R Coefficient= 0.992762336



Pressure (Outer Side):

The graphs of the two data sets show that there is no significant difference between the two devices. This is because the p-value (0.987799691) is greater than 0.5. This proves that the SmartSole is just as reliable as the Foot Plantar Measurement System in measuring the pressure of the outer side of the foot.


Pearson's R Coefficient= 0.999903603