BME100 s2016:Group14 W1030AM L3

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Contents

OUR TEAM

Name: Derek Vielhauer
Name: Derek Vielhauer
Name: Bianca Garcia
Name: Bianca Garcia
Name: Jessica Kerlee
Name: Jessica Kerlee
Name: Tess Alexander
Name: Tess Alexander
Name: Brent Kiracofe
Name: Brent Kiracofe
Name: Talha Ghanchi
Name: Talha Ghanchi

LAB 3A WRITE-UP

Descriptive Statistics

The sample size was 302
The standard deviation of this sample temperature was 1.89523. Spree .8703. HR Gold 98.08 HR Spree 24.87436
The mean of the heart rate of the spree was 98.967 The mean of the gold standard heart rate was 98.08977
Gold temperture 96.5768
Spree average was 95.5309
The standard error for Gold HR was 5.644431992
The standard error for Spree HR was 1.431358575
The standard error for Gold Temperature was .10906
The standard error for Spree Temperature was .05008





Results

Temperature Graph


TempGroup14_W1030AM_L3




Analysis

The p-value for the HR vs. Gold was 0.65229
The p-value for the temperature vs. Gold temperature was less than 10^-5, therefore the p-value would be considered zero




Summary/Discussion

There were many experimental errors the could have affected the connectivity of the actual spree headband. In order to connect to the device, one had to use Bluetooth on a smart phone. When multiple Bluetooth devices were near by, it was complicated to find the right spree. A way to make the connection process more efficient, there should be a way to have the name of the actual spree device appear on the Bluetooth connection settings to make pairing up much easier.
The placing of the spree, when reading the pulse, was inefficient because the pulse is hard to read based off of the forehead. The pulse was easier to measure when using the temple area. Moving the sensor to an area where it was easier to measure the pulse, would be more accurate. Maybe adding a band that measures pulse, or something of that sort.
The placement of the spree device was inconvenient because in the forehead region, one tends to sweat more, which could have affected the results of the body temperature. A way to fix this would be used a location where sweat is not an issue, such as the wrist.
An experimental design flaw was the inconsistent time intervals used to collect the data. Being more consistent in the time intervals would allow for a more honest data collection.
A potential problem that was observed, with the spree, was the color of the device being black. With the color being black, the sensor could have absorbed heat, which could have made an impact on the temperature recordings.



LAB 3B WRITE-UP

Target Population and Need

The target population was infants between the age of 0-6 months. The problem identified would be Sudden Infant Death Syndrome (SIDS). SIDS occurs when an infant that would be sleeping, slowly stops breathing, and suffocates, ending up in death. This syndrome occurred in about 2,500 infants last year.
The need is for a device that monitors the infant's heart rate and its breathing, like lung expansion. Along with monitoring the infant, the device needs to alert anybody nearby when the baby slowly stops breathing.

Device Design

Description of image




Inferential Statistics




Description of image




T-Test for the heart rate monitor was 0.98633, which means there was no difference between the two groups. The T-Test for the breath monitor was 0.81447, which means there was a difference. The P-values for the heart rate monitor was 0.000456, which was statistically significant. The P-value for the breath monitor was 0.006184, which was statistically significant.



Graph



Heart Rate of each of the devices



Breathing Rate of each of the devices



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