BME100 s2016:Group4 W1030AM L3

From OpenWetWare

Jump to: navigation, search
BME 100 Spring 2016 Home
People
Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3
Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6
Course Logistics For Instructors
Photos
Wiki Editing Help
Image:BME494_Asu_logo.png

Contents

OUR TEAM

Name: Karson Pooler
Name: Karson Pooler
Name: Patrick Panattoni
Name: Patrick Panattoni
Name: Katerina Soltero
Name: Katerina Soltero
Name: Sara Gubrud
Name: Sara Gubrud
Name: Desiree Yazzie
Name: Desiree Yazzie
Name: Paul Gossett
Name: Paul Gossett

LAB 3A WRITE-UP

Descriptive Statistics

Mean temperature Spree: 95.53086 Degrees F

Mean temperature Gold: 96.65025 Degrees F


Mean pulse Spree: 98.9505 BPM

Mean pulse Gold: 98.0898 BPM


Standard Deviation temperature Spree: 0.869034 Degrees F

Standard Deviation temperature Gold: 1.921162 Degrees F


Standard Deviation pulse Spree: 24.85458 BPM

Standard Deviation pulse Gold: 22.99251 BPM


Standard Error temperature Spree: 0.04828 Degrees F

Standard Error temperature Gold: 0.10673 Degrees F


Standard Error pulse Spree: 1.427858 BPM

Standard Error pulse Gold: 1.320885 BPM






Results

Image:Temp_Graph_G4.PNG

Image:Heart_Rate_Graph_G4.PNG



Analysis

T-Test pulse: 0.658811

Pearson's R pulse: 0.69527

A T-Test of ~.66 indicates that there is no statistical significance between the two sets of data.

A Pearson's R of ~.7 indicates a reasonable correlation between the two sets of data.


T-Test temperature: 2.84225*10^-20

Pearson's R temperature: 0.193142

A T-Test of <.05 indicates that there is a statistical significance between the two sets of data.

A Pearson's R of ~.2 indicates that there is little correlation between the two sets of data.


The post-test was not needed because an ANOVA was not performed.




Summary/Discussion

Potential device flaws include: connection problems, uncomfortable, unsightly, and imprecise readings. One of the connection problems encountered was initial connection between the device and the app. This could cause problems especially when around other devices as sometimes the devices interfere with each other or disconnect completely. A potential solution to this problem would be to have the device record the data to later be uploaded onto a computer similar to a fitbit. After an extended period of time wearing the device, over an hour, it starts to become uncomfortable and ultimately lead to a pressure headache. This problem can be fixed by adding more padding or simply moving the device to a different location on the body such as the wrist or ankle. The device looks unnatural in the gym environment, to deal with this problem it could be designed to look more like a sweatband or moved to another location on the body. The temperature scale on the device was solely color coded ranges and therefore imprecise. One solution for this problem is to include a more accurate system of measurement for temperature in the device.




LAB 3B WRITE-UP

Target Population and Need

The target population for the USTEP is athletes who want to improve their running form and reduce risk for injury. This includes professional athletes as well as novice runners. The age range that USTEP aims to address is 15 to 45 year olds. Research indicates that about 60.5 million Americans participate in some form of running and this is the population the USTEP targets. Anyone who is concerned about running injuries such as stress fractures and shin splints could benefit from our product. Running injuries are very prevalent within the running community which indicates that there will be great need for our product.

The target population will need to product to be accurate, practical, and comfortable. It is important that the device is accurate because the runner needs to know precisely how to adjust their running gait in order to prevent injury. If the device is inaccurate the runner could get injured. The device needs to be practical and easy to use so that the runner is inclined to use the device for every run. If the device is too complicated and difficult to use the runner might opt out of using the device. It is imperative that the device is comfortable so that runner will prefer our product over any other running shoe.

Image:Problem Understanding Form.PNG



Device Design


Image:Group4 Logo.PNG‎ Image:Group4 Logo2.PNG

Special thanks to https://grabcad.com/library for CAD models of shoe, insole, and sole.

Inferential Statistics

T-Test: 0.873

Pearson's R: 0.880

A T-Test of 0.873 indicates that there is no statistical significance between the gold standard and the USTEP. A Pearson's R of 0.880 indicates a strong correlation between the gold standard and the USTEP.

The high correlation between the gold standard and the USTEP indicates that the USTEP is a reliable measurement of PSI and our product is accurate.




Graph

Image:Group 4 Graph.PNG





Personal tools