BME100 f2013:W1200 Group17 L3

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OUR TEAM

Name:Andrew Prindle
Name:Sonia Malek
Name:Kevin Luong
Name:Jason Yang
Name: student
Role(s)
Name: student
Role(s)

LAB 3A WRITE-UP

Descriptive Statistics

O1 Average.PNG Average O2.PNG O3 Average.PNG Average S1.PNG Average S2.PNG Average S3.PNG

Contributed by Sonia Malek, Kevin Luong, Jason Yang, Andrew Prindle




Results

Graph 1.PNG Graph 2.PNG Graph 3.PNG

Contributed by Sonia Malek, Kevin Luong, Jason Yang, Andrew Prindle



Analysis

TTest1.PNG TTest2.PNG TTest3.PNG Pearsons.PNG

Contributed by Sonia Malek, Kevin Luong, Jason Yang, Andrew Prindle




Summary/Discussion

The goal of this experiment was to test the performance of the Raiing Wireless Thermometer. This includes analyzing device's ease of use, the speed with which it recorded data, and the accuracy and consistency of the temperatures it recorded. Overall, the Raiing thermometer was easy to set up and simple to operate. The device was paired with a bluetooth phone and operational within 15 minutes. Device quality is an issue, however, with 5 of the 18 purchased thermometers failing on the first day of use. Another device (group 17's) recorded data for the first 45 minutes of the experiement and then lost connection with the bluetooth device. The device was slow to report accurate data. It took over 15 minutes for the device to begin reporting data within a physiologic range.

In order to test the accuracy and validity of the data, the temperature readings were compared to oral thermometer reading taken at the same time. Both indoor and outdoor conditions were tested. 5 readings, each two minutes apart, were initially taken indoors. After this an additional 12 readings were taken outdoors, each five minutes apart. Finally, the subject returned indoors and another 5 readings were taken in two minute increments.

The data of 12 test subjects were aggregated and analyzed. We took the averages and standard deviations for both the oral and senor data sets in each of the three time periods. We noticed that the data was different and decided to do T-Tests to see whether the differences between the sensor data and oral data were statistically significant. All P-Values were well below the acceptable 0.05 value showing that the sensor and oral data were not the same. We also conducted a Pearson's Correlation Coefficient to see if there was a linear relationship between the two data sets. The 0.02 value showed that there was not.

Our data reflects our experience with the Raiing Wireless Thermometer. The product was poorly made, slow to adjust to new environments, inefficient, and produced unreliable data.

Contributed by Sonia Malek, Kevin Luong, Jason Yang, Andrew Prindle, Micke Cox





LAB 3B WRITE-UP

Target Population and Need

The purpose of our device is to use our temperature sensor and accompanying smartphone app as a means for parents to remotely monitor the temperature of their newborn infants. The temperature sensors will be placed into both a thin disposable armband to be placed in the axilla, as well as into a pacifier for oral temperature readings. Temperature readings will be sent via bluetooth to nearby monitor, which then uploads the data wirelessly to the internet so it can be viewed from any smart device and/or computer by logging in to the parents' account on the device's website. This allows parents to check on the temperature of their babies from anywhere in the world.

There is significant need and market demand for a device of this sort. Parents are busier than ever, making it difficult oftentimes to keep a constant eye on their sick infants. High fevers in infants, if left untreated, can lead to significant morbidities such as seizures and brain damage. High fevers in infants are an indicator of severe, potentially fatal, underlying illnesses that require medical attention. Early detection of a fever will lead to better, faster treatment of sick newborns. This device and program offers parental peace of mind and helps to provide better neonatal care.




Device Design

Final logo.PNG Brand Logo Tinkercad1.PNG Device Design Mock Up (oral pacifier sensor and armband sensor)

This image shows the pacifier component of the BabyTemp as well as the sensor component of the device. The bluetooth thermometer sensor is within the pacifier and is fundamental to the measurement of the baby's temperature. An additional black arm band contains a sensor that aids in the accurate reading of the baby's temperature.



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Inferential Statistics

Data baby temp.PNG 12 healthy infants with normal temperatures were tested using both of the bluetooth temperature sensors (oral and armpit sensors)while also being tested with manual thermometers in the same regions at the same time. This procedure was repeated on 12 febrile infants. Mean and std dev.PNG Healthy armpit t test.PNG Healthy oral t test.PNG Febrile oral t test.PNG Febrile armpit t test.PNG All of the T Tests yielded values above 0.90, showing that there is no significant difference between the data taken manually and the data taken with the BabyTemp sensors. The word Manual used in the data represents a traditional thermometer that is designed for at home use. This traditional thermometer is placed either orally or under the armpit of the baby. In order to validate the accuracy of the BabyTemp, temperatures of both healthy and febrile babies were taken both orally and under the armpit. The data recorded from the BabyTemp was compared to the data recorded by the traditional thermometer. It was concluded that the temperature readings of the BabyTemp were just as accurate as the temperature readings of the thermometer. This is proven when observing the numbers of the t-tests conducted.




Graph

Healthy armpit graph.PNG Oral Temp Healthy.PNG Febrile armpit graph.PNG Oral temp febrile.PNG