BME100 f2016:Group15 W1030AM L3: Difference between revisions
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==Experimental Design of Own Device== | ==Experimental Design of Own Device== | ||
-testing: people with heart conditions | |||
Select people that have a known risk for heart attack | |||
How many?: (70 million people with high blood pressure) | |||
1000 people | |||
10 hospitals~ | |||
Throughout the US | |||
People wear the device all the time and see how successful it is | |||
^detect heart attacks and notification | |||
Did it detect the heart attack accurately or not | |||
Detect blood pressure with two devices on same patient (blood pressure meter) | |||
^paired T Test | |||
Detect blood flow with a larger model | |||
^paired T Test | |||
Detect Heart Rate with finger heart rate sensor compared to wrist/patch heart rate sensor | |||
^paired T test | |||
As a patient goes to the hospital, their physical health will be measured on both devices | |||
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Revision as of 11:34, 28 September 2016
BME 100 Fall 2016 | 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 TEAMLAB 3 WRITE-UPDescriptive Stats and GraphTemperature: Averages: - Gold Standard: 96.647 (°F) - Spree Headband: 95.531 (°F) Standard Deviations: - Gold standard: 1.923 - Spree Headband: 0.870 Count: - Gold Standard: 324 - Spree Headband: 324 Standard Error: - Gold Standard:.107 - Spree Headband: .048 Two Tailed Paired T-Test: p-value: 1.09E-21 Pearson's Correlation Coefficient: r = 0.193 Heart Rate: Averages: - Gold Standard: 98.090 - Spree Headband: 98.954 Standard Deviations: - Gold standard: 23.0305 - Spree Headband: 24.8775 Count: - Gold Standard: 303 - Spree Headband: 303 Standard Error: - Gold Standard: 1.323 - Spree Headband: 1.429 Two Tailed Paired T-Test: p-value: .42712 Pearson's Correlation Coefficient: r = 0.691
Inferential Stats(Ashwin)
Design Flaws and Recommendations(Nadiah)
Experimental Design of Own Device-testing: people with heart conditions Select people that have a known risk for heart attack How many?: (70 million people with high blood pressure) 1000 people 10 hospitals~ Throughout the US People wear the device all the time and see how successful it is ^detect heart attacks and notification Did it detect the heart attack accurately or not Detect blood pressure with two devices on same patient (blood pressure meter) ^paired T Test Detect blood flow with a larger model ^paired T Test Detect Heart Rate with finger heart rate sensor compared to wrist/patch heart rate sensor ^paired T test As a patient goes to the hospital, their physical health will be measured on both devices
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