# BME100 f2017:Projects3

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# Lab 3: “Device Validation”

• Analyze data and evaluate an existing health care device.
• Understand descriptive and inferential statistics
• Understand design of experiments.

Scenario:

You have just graduated with your BME degree and have been hired by a start-up company called “Suntronic”. They are developing a new body temperature and heart rate monitor for smart phones and want to check out the competition. The latest such device is from Spree Sports (www.spreesports.com) and they claim the device can accurately measure body temperature and heart rate. Your assignment is to assess how valid the device is as well as to identify any design flaws by comparing the temperature and heart rate readings on the device to those of an oral thermometer and pulse oximeter.

Summary of Data Collection:

• 5 temperature and heart rate readings taken in the lab (one every two minutes) using the Spree sensor, the oral thermometer (gold standard) and the pulse ox (gold standard) all at the same time.
• Walked around campus and take one reading every five minutes for an hour using the sensor, the oral thermometer and the pulse ox all at the same time.
• Returned to the lab and took 5 temperature readings, one every two minutes using the sensor, the oral thermometer and the pulse ox all at the same time.
• Results on the Excel sheet posted to Blackboard.

Assignment:

1. Using the provided data and supplied how to videos, calculate the mean and standard deviation for both sensor, oral thermometer and pulse ox.
2. Calculate the correlation coefficient (Pearson’s r) between 1) the oral thermometer and Spree Band and 2) the pulse ox and the Spree Band.
3. Run statistical analysis to compare the 1) oral thermometer and Spree Band and 2) the pulse ox and the Spree Band.
4. Graph all your results and include stars showing significance (if appropriate).
6. Design an experiment to test your own prototype. Provide rationale for design.

Resources on Blackboard:
-Video on Scientific Method and Experimental Design
-Video on Descriptive Stats and Graphing
-Video on Inferential Stats

HW: Lab Report 3 (due 09/26/17 at 11:59PM through OpenWetWare)