BME100 s2017:Group3 W8AM L3

BME 100 Spring 2017	Home People Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3 Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6 Course Logistics For Instructors Photos Wiki Editing Help
OUR TEAM Name: Anna Deng Name: Tyler Grenier Name: Jacqueline Klier Name: Andy Tang Name: D'Kiehl Cole-Cash Name: Robert Arthur LAB 3 WRITE-UP Descriptive Stats and Graph Inferential Stats A paired t-test was used for both the oral thermometer and pulse ox, due to the comparison of two samples. Heart Rate Standard Deviation Pulse Ox Gold Standard : 21.70 Standard Deviation Pulse Ox Spree: 24.27 The standard deviations are high due to the different conditions the subject were placed in for the measurement of their heart rates. P-value: 0.78 T-test (p-value): 0.671 Temperature Standard Deviation Oral Thermometer Gold Standard: 1.92 Standard Deviation Oral Thermometer Spree: 0.87 P-value: 0.193 T-test (p-value): 1.067*10^-21 The Pulse Ox is reliable when calculating heart rate but not temperature Design Flaws and Recommendations Experimental Design of Own Device For an experiment: Locate people already in need of a mobility enhancing exoskeleton. Give those people our exoskeleton and measure the amount of battery used by certain tasks and overall battery life per day. Then, we would measure both the battery used per task and per day and compare this to our competitor exosuits in order to determine if our exosuit is more efficient. As for actual customer satisfaction, we would compare both our own exoskeleton and our competitors’ exoskeleton with common tests, such as sitting, standing, and walking speed. The results of these will then tell us whether our device is more efficient without sacrificing viability.