BME100 s2017:Group4 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: Kaitlin Masterson Name: Bat-El Shabtai Name: Timothy Styrlund Name: Sydney Horton Name: Mustafa Alsadiq LAB 3 WRITE-UP Descriptive Stats and Graph Temperature Data Pearson's Correlation: 0.1929 Gold Standard Spree Mean 96.65 95.53 Standard Deviation 1.923 .08704 Number of pairs 324 324 Error of Mean 0.1068 0.04835 Heart Rate Data Pearson's Correlation: 0.7775 Gold Standard Spree Headband Mean 98.987 99.394 Standard Deviation 21.680 24.261 Number of Pairs 297 297 Standard Error of Mean 1.258 1.408 Inferential Stats Heart Rate A paired T-Test was used to determine the statistics for the data. P-value: 0.6517 It is significantly different. The test is two-tailed. t= 0.4518 df=296 Number of pairs: 297 Standard Deviation for Gold Standard: 21.6796 Standard Deviation for Spree Band: 24.2612 Correlation coefficient, R: 0.7775 Temperature A paired T-Test was used to determine the statistics for the data. P-value: <0.0001 It is significantly different. The test is two-tailed. t=10.3 df=323 Number of pairs: 324 Standard Deviation for Gold Standard: 1.923 Standard Deviation for Spree Band: 0.8704 Correlation coefficient, R: 0.1929 Design Flaws and Recommendations One flaw in this clinical design was that it was not a blind trial. The test subjects knew what products they were testing, so the results could have been skewed. An improvement would be to make this trial blind and have the test subjects not know which device is being tested. This will ensure more accurate results. Summary of Results The results for the temperature of the Gold Standard and Spree Band are significantly different with a p-value that is less than 0.0001, which means that the null hypothesis that the two products will have the same measurements is rejected. The results for the heart rate of the Gold Standard and Spree Band are not significantly different with a p-value that is 0.6517, which means that the null hypothesis that the two products will have the same measurements is not rejected. Experimental Design of Own Device BME 100 Experimental Trial Groups- One group with the standard VNS implanted, the second with our device implanted; subjects in both groups are epileptic, groups are at same risk for having a seizure. Sample Size- Group 1: 150 subjects implanted with VNS Group 2: 150 subjects implanted with our device Experiment- Hypothesis: We predict that group 2 (group implanted with our device) will have a decreased frequency and severity of seizures over the course of one year, compared to group 1 (group implanted with the original VNS). Experiment: In an experiment to test our device, a naturalistic long-term study would be necessary. 300 patients will be split into two groups, one group (group 1) of 150 patients is administered the standard VNS, another (group 2) of another 150 patients is administered our device. Both groups will be followed and observed for a year. Groups 1 and 2 will be compared to observe if our device lessens the frequency/severity of a seizure happening. Data will be compared after the year of observing to draw final conclusions Independent variable: Type of instrument implanted into a patient, or patients with no implantation. Dependent Variable: Severity/Frequency of seizures taken place by patients. Inferential statistics/ Rationale for Decisions- In the experiment to test our device, we have chosen 300 patients with epilepsy to fill the sample size. We have divided these 300 patients into two groups of 150 people each. This experiment is split into two to compare the two devices side by side, making two independent groups. This will make our experiment an independent t-test. Our experiment will last over the course of one year and will follow patients over this year, making it a longitudinal study experiment. The reasoning behind this is to compare to a seizure of patients as they happen over the year. Patients in both groups will know whether they have the original VNS or our device implanted, and the data is collected through seizures that randomly by patients, so survey bias will be minimal to none when data is collected.