BME100 s2016:Group11 W1030AM L3

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OUR TEAM

Name: Stephanie Brewer
Name: Xiaowen Chen
Name: Kyle Durrant
Name: Annette Flores
Name: Brandon Taylor
Name: Eric Wright

LAB 3A WRITE-UP

Descriptive Statistics

Temperature
Gold Standard Spree
Average 96.87 95.54
Standard Deviation 1.672 0.875



heart rate
Gold Standard Spree
Average 98.09 98.95
Standard Deviation 23.03 24.88 Standard Error 1.32 1.43

Results

Description of image




Heart rate Description of image

Analysis

For Temperature

T-test = 1.226E-32

T-test < 0.05 There is a statistical difference between the spree headband and the gold standard.

The Pearson's r coefficient is 0.208 indicating very little correlation.

For heart rate

T-test = 0.657460772

T-test > 0.05 There is not a statistical difference between the spree headband and the gold standard.

The Pearson's r coefficient is 0.69 indicating they have positive correlation.



Summary/Discussion

We are at least 95% confident that there is a significant difference between the spree headband and the thermometer, the t-test value was 1.226E-32 with an alpha of 0.05. However, there was diminutive correlation between the spree headband and the thermometer according to the Pearson’s r coefficient of 0.208. Furthermore, there was no significant difference between the spree headband and the pulse oximeter.

The spree headband displays temperature as a color that corresponds to a range of temperatures, this leads to less accurate temperature readings and misinformation to the customer. An improvement on this technology would be to give number values for temperature instead of a range; this change would be more accurate and the customer would be more informed.




LAB 3B WRITE-UP

Target Population and Need

Our target population is wearable fitness device users and athletes.

The main demographics includes people 18 to 34 both male and female.

"Nearly one-third of US smartphone users, or roughly 46 million people, accessed fitness related apps in January of 2014. This usage grew by 18% year over year." http://www.wearables.com/who-are-fitness-wearables-users/#sthash.lZ9mPKLz.dpuf

Many sports teams are using wearable fitness devices to track their performance and then sending the data to their coaches, trainers, and players for analysis.

"Biometric sensors and GPS trackers developer Catapult Sports is currently working with 515 teams around the world ...... The NBA said in February it is testing out the technology in its D-League, making it the first U.S. professional sports league to use performance analytic devices in a game." http://www.biometricupdate.com/201410/professional-sports-teams-and-athletes-driving-wearable-technology

Problem Understanding Form




Device Design



Inferential Statistics

{ Blood Glucose Levels Blood Glucose Levels PEOPLE TESTED Gold Standard (Glucometer) Sole Tech (Sweat Glucose)

Person 1 176 173

Person 2 106 108

Person 3 160 159 Person 4 93 92

Person 5 172 170

Person 6 104 105

Person 7 95 96

Person 8 153 153

Person 9 108 110

Person 10 178 174

Person 11 139 138

Person 12 150 153

Person 13 101 100

Person 14 107 109

Person 15 161 159

Person 16 142 140

Person 17 139 138

Person 18 116 118

Person 19 160 161

Person 20 165 163

Person 21 144 143

Person 22 160 162

Person 23 119 120

Person 24 174 175

Person 25 166 163 }

{1.002 - 1.030 indicates Hydration Level 2% Body Weight Loss is Dehydration PEOPLE TESTED Gold Standard (Urinalysis Specific Gravity) Sole Tech (Body Weight % Loss) Person 1 1.015 1

Person 2 1.004 0.1

Person 3 1.011 0.8

Person 4 1.012 0.8

Person 5 1.007 0.3

Person 6 1.003 0

Person 7 1.011 0.8

Person 8 1.017 1.1

Person 9 1.006 0.2

Person 10 1.019 0.13

Person 11 1.005 0.2

Person 12 1.012 0.8

Person 13 1.004 0.1

Person 14 1.021 0.14

Person 15 1.018 0.13 Person 16 1.003 0


Person 17 1.016 1

Person 18 1.003 0

Person 19 1.027 1.9

Person 20 1.006 0.2

Person 21 1.007 0.3

Person 22 1.015 1

Person 23 1.028 2

Person 24 1.003 0

Person 25 1.005 0.2 }

subject # weight w/ scale (lbs) weight w/ sole tech 1 130 129

2 172 169

3 125 126

4 200 202

5 178 178

6 135 135

7 210 211

8 153 153

9 160 159

10 164 164

11 145 143

12 185 185

14 215 216

15 178 178

16 156 158

17 144 146

18 220 221

19 154 156

20 131 132

21 185 184

22 196 196

23 169 167

24 160 161

25 188 187





Graph