BME100 s2016:Group13 W1030AM L3

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Contents

OUR TEAM

Name: Andrej Sodoma
Name: Andrej Sodoma
Name: Shantelle Woody
Name: Shantelle Woody
Name: Najla Alamro
Name: Najla Alamro
Name: Brian Lambert
Name: Brian Lambert
Name: Your name
Name: Your name
Name: Your name
Name: Your name

LAB 3A WRITE-UP

Descriptive Statistics

Graph of the comparison of the spree band's reading of the test subject's heart rate to the pulse oximetry's reading of the test subjects heart rate.

         heart rate graph

Table of the heart rate comparisons.

         heart rate table

Graph of the comparison of the spree band's reading of the test subject's temperature to the pulse oximetry's reading of the test subject's temperature

         temperature graph

Table of the temperature comparisons.

          temperature table

The temperature experiments p-value.

          temperature p value



Results

In calculating the averages we discovered that one data point was missing and therefore had to go back and re-do the averages. In the end the Average of the Gold Standard heart rate was 98.08977 BPM, and the Spree band average was 98.62832 BPM. For the Standard Deviation we calculated 23.0305 for the Gold Standard and 7.65789 for the Spree measurements. Then a graph of the averages and standard deviation of each device was made, the column on the left represents the gold standard and the column on the right represents the spree band. After the graph was made the P-Value was .65746 which showed that the data is not significant.

The same method of statistical analysis was adopted for the temperature gold standard and spree band temperature data. The average reading for the gold standard temperature was 96.64716 degrees fahrenheit, and the average reading for the spree band temperature was 95.53086 degrees fahrenheit. The standard deviation for the gold standard temperature was 1.922602 and the standard deviation for the spree band was .870378. After the graph was made the resulting p-value was 1.096 times ten to the negative twenty first power, showing that the results are statistically significant.




Analysis

Based on the p-value found for the comparison of the heart rate monitor in the spree head band to the reading from the pulse oximetry shows that the spree head band's heart rate monitor is not accurate. The high p-value showed that the heart rate monitor in the spree head band does not read the users heart rate accurately. This is mainly due to the color system the head band uses to show the value of the heart rate, if the band showed a numerical value with two significant figures much like a pulse oximeter, instead of a color system, then it would of provided a more accurate reading.

The p-value found for the comparison of the temperature sensor in the spree head band to the reading from the thermometer shows that the spree head band's temperature sensor is accurate. The low p-value showed that the temperature sensor reads the users temperature accurately. However the color system is not an accurate system, a numerical value with four significant figures much like a thermometer should be used.




Summary/Discussion

For this Lab one of our group members was used to test the accuracy of the spree head band. There were three steps to this experiment: lab, field test, and lab. The first was the lab which was comprised of the test subject sitting down on a bench in a controlled environment with the spree band on his head and every two minutes, his temperature and heart rate were taken with the spree head band, pulse oximeter, and thermometer. This was done until five trials were completed. The second step was the field test, which was done outside. The test subject exercised by running, jogging and other high intensity exercises, his temperature and heart rate were measured every five minutes, for 12 trials. The third step was a repetition of the first step which consisted of taking the heart rate reading from the pulse oximeter, the temperature with the thermometer, the heart rate with the spree head band and then the temperature with the spree head band every two minutes until five trials were completed.

The results of the experiment showed that the heart rate monitor on the spree head band was not accurate but the temperature sensor was. The main issue that resulted in a high p-value for heart rate was because of the system the app used to report the temperature and heart rate and the accuracy of the sensors. If the app used a numerical system with the capability of showing more significant figures then the device would of been more accurate.

Other things that can improve the device is if it had various attachments so the user didn't have to only wear it on their head. Another thing that would improve it is if the device was not bluetooth because of other people's bluetooth interfering the connection with the device to the phone making it difficult to connect to the app in a crowded area.




LAB 3B WRITE-UP

Target Population and Need

population graph

demographics graph

Based off of the graphs above, the intended target population is going to be anyone regardless of age or nationality that desires to monitor their general health status on a daily basis. The current world population is only growing as well as the market for fitness trackers. However, based off of previous years data the target population total buys about 25 million units world wide. The specific demographic that is going to buy the fitness tracker the most are upper middle class North Americans male or female between the ages of 18-55, this target audience will buy roughly speaking, 8.5 million units.

needs table

Our newly designed fitness watch "Watch 13" not only monitors dehydration but also temperature, distance, heart rate, and the number of calories the user burns throughout the day. The only data that will be displayed on the watch is the date, time, and dehydration levels. The dehydration levels are represented in three stages green= normal, yellow= moderate dehydration, red= severe dehydration. This watch prevents chronic dehydration this is an important issue because chronic dehydration that effects people of all ages. Dehydration results in fatigue, joint pain, weight gain, headaches, ulcers, high blood pressure, kidney stones, and kidney disease. Hence, by telling the user they are dehydrated hopefully will remind them to drink water. This increase in the frequency of water consumption will prevent the results of chronic dehydration from occurring. The other data (HR, temperature, calories, and distance) will be transmitted to any type of smart phone via Bluetooth technology. This information will then be processed and displayed on the app. This method of processing and graphing data on the app increases the battery life, decreases the weight, and decreases the cost, making "Watch 13, the new standard for fitness trackers".




Device Design

Watch 13 was designed with comfort in mind, a soft texture polyurethane band with dual stage retention allows the band to couture to the wrist with out sacrificing security. Each band is capable of being swapped out from the body of of the watch to allow it to be customized for any outfit. This watch uses compact sensors, allowing it to track the following health signs and transmit them to the app.

  • dehydration
  • distance traveled
  • Temperature
  • heart rate
  • steps
  • Calories burned
  • active minutes



The information is transmitted from the watch via bluetooth technology and is gathered in the app. This data is then graphed and/or used to provide the users current dehydration levels and calories burned. In order to obtain an accurate reading of calories burned the user will enter or import the following information into the app.

  • Calories in
  • weight
  • age
  • activity level (type of job they do)
  • height
  • submitted exercise

This allows for a comprehensive collection of fitness data. Also this design method keeps Watch 13's cost low, battery life long, and light weight.

device design device design

Inferential Statistics



Table 1

Image:InferentialStatistics_ASU_BME101_Grp13_Lab3B.PNG


This table shows the results of the Gold standard for determining heart rate, temperature, distance, and salt salinity. It also shows the results from the sensors for dehydration, heart rate, distance, and temperature on Watch 13.




Graphs

Figure 1

This graph shows the comparison of the recordings from a thermometer which is represented by the description "Gold Standard" and Watch 13's temperature sensor. Image:Temperature.png

Figure 2

This graph shows the comparison of the heart rate recordings from a pulse oximeter which is labeled as "Gold Standard" with the heart rate sensor on the band of Watch 13. Image:HeartrateGraph.png

Figure 3

This graph shows the comparison of the distance recorded on a set track with the distance recorded by the GPS device in Watch 13. Image:Distance.png

Figure 4

This graph shows the comparison of the salt salinity test which is the gold standard for determining dehydration with the salt salinity testing device found in Watch 13. ( For Cl- only) Image:Chlorine_Concentration.png

Figure 5

This graph shows the comparison of the salt salinity test which is the Gold standard for determining dehydration with the salt salinity testing device found in Watch 13. (Na+ only) Image:Sodium_Concentration.png

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