# BME100 s2016:Group8 W1030AM L3

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# OUR TEAM

 Name: Abdulrahman Hassan M Alamri Name: Eric Barrientos Name: Ethan Blank Name: Melanie Parke Name: Vanessa Sanders Name: Erin Sussex

# LAB 3A WRITE-UP

## Descriptive Statistics

Blood Pressure Monitor (Gold Standard)
Mean Temperature: 96.6 degrees
Standard Deviation (temperature): 1.9
Standard Error (temperature): 0.11

Mean Pulse: 98 bpm
Standard Deviation (pulse): 23
Standard Error (pulse): 1.3

Mean Temperature: 95.5 degrees
Standard Deviation (temperature): 0.87
Standard Error (temperature): 0.05

Mean Pulse: 99 bpm
Standard Deviation: 25
Standard Error: 1.4

## Inferential Statistics

Paired T-Test Value (temperature): 1.097*10^-21
Paired T-Test Value (pulse): 0.427

A paired t-test was chosen because the data was divided into two groups in which the same subject was tested by both devices.

Pearson's R-Value (temperature): 0.193
Pearson's R-Value (pulse): 0.691

According to the p-value from the T-tests, the data from the gold standard and from the Spree headband were not statistically different. However, the data from the gold standard and the spree headband were not correlated according to the Pearson's R-value because it was not close to 1 or -1 for both temperature and heart rate. This means the data from the Spree headband is not correlated to the data from the gold standard even though it measured the same activity.

## Summary/Discussion

Design Flaws/ Recommendations: Some design flaws in the device are the ability to measure temperature, and heart rate accurately. In order for the temperature to be measured more accurately the device should be closer to the person's core because it provides a better source of internal body temperature. Moving the device closer to the person's core also can help increase the accuracy of measuring heart rate because it will have more access to major blood vessels.

# LAB 3B WRITE-UP

## Target Population, Need, and Problem Understanding

Target Population
The target population of this device is for elderly individuals who are at risk of heart attack. The age demographic for this device is any individual that is 65 years of age or older. According to the 2013 census, the elderly population makes up 14.1% of the overall American population, leaving a large demographic of people available to use this device. in Addition to this, any individual that is at risk of heart failure is encouraged and able to use this device as well. This population also includes obese individuals and those who have previously experienced heart failure.

Needs of Population
1. Device needs to be small and lightweight yet durable
2. Device needs to be fashionable/wearable
3. Device needs to be inexpensive
4. Device needs to be user friendly and easy to use/operate/upkeep
5. Device needs to measure accurately as to not detect false alarms and alert authorities when not needed

Problem Understanding
1. The device must be able to monitor pulse'

```    Engineering requirements: monitor using conductive surface with built-in microprocessors to detect heart rate
```

2. The device must be able to compile data into a database and differentiate what the individual's normal pulse is

```    "Engineering Requirements: data-compiling technology
```

3. The device must be able to detect when the pulse of an individual deviates from the normal

```    Engineering Requirements:monitor using conductive surface with built-in microprocessors to detect heart rate
```

4. The device must be able to detect when the deviation of pulse becomes dangerous and contact emergency help

```    Engineering requirements: cellular technology able to contact emergency help
```

5. The device must have GPS technology to aware emergency help of the individual's location

```    Engineering requirements: GPS detection technology in a small chip
```

Problem Understanding Form

## Inferential Statistics

Mean: 82.35 82.46
Standard Deviation: 11.98684043 12.34145515
Standard Error: 0.119868404 0.123414551

p-value from T-Test: 0.649303374

A paired T-Test was chosed because there were 2 sets of data to compare, each collected from the same person.
Because the p-value is greater than 0.05, there is no statistical difference between the two data sets.

' 'Pearson's R-Value' ': 0.980767543

The Pearson's R-Value is close to 1, indicating the two data sets are correlated.