BME100 f2013:W900 Group12 L3

BME 100 Fall 2013	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 Swaroon Sridhar Chris Lae Nhi Nguyen Swathi Harikumar Courtney Van Bussum Name: student Role(s) LAB 3A WRITE-UP Descriptive Statistics Picture displays descriptive statistics for Oral Data (left) and Sensor Data (right). The mean, standard deviation, minimum, maximum, median, and standard error are displayed (in that order). The data is taken from the entire class's readings. Results Analysis In details, we found the p-value on the first data table is also has p-value is 2.9459E-80 and the correlation coefficient is 0.167395055. This p-value is provided under 0.05 remarkable points. There is a quite different between two temperature reading in testing on oral thermometer and sensor. Using T-test to test by showing the data for both sensor and oral thermometer, we found that the p-value is 2.9459E-80 which below 0.05 and it is significant. That is the reason why we can see clearly the different between the result(the temperature reading) in the sensor and oral thermometer. In general, the temperature reading on sensor seems always lower than temperature that we record on oral thermometer. With using T-test and Anoca test, we found out there sre some difference between the temperature that we record on both devices. In addition to this, with our p-value is below 0.05, we can conclude that the device is valid ==Summary/Discussion The two devices that were compared in measurements of human temperature was the oral thermometer and RAIIN Sensor. Both these devices were very precise in measurement. The average temperatures measured for each device are within two points different. The standard deviations are also reasonable for both devices, with the sensor having more deviation than the thermometer. The precision of the instruments is very good and the validity of their measurements can be evaluated by the p-value. Due to the very minuscule p-value, it can be concurred that the experiment is almost 99% valid and accurate. The graph depicts the averages and standard deviation of the devices. The RAIIN Sensor was not very accurate. It was around 4 degrees less than the oral thermometer with every measurement. This was due to the fact that the device was taking measurements on the outside of the body, and when the group walked around from shady spots to sunny spots this made it so that the device's measurements were inconsistent. As far ass recommendations go, the device could be improved if there were various sensors which will demonstrate various measurements of the body to show that the body may have different temperatures in different places due to the surrounding environment. Another recommendation would be to lower the price of the device. Overall, the device is not as accurate as a simple oral thermometer, and the oral thermometer is significantly cheaper. State your conclusion as well as design flaws and recommendations.) LAB 3B WRITE-UP Target Population and Need This new thermometer device called "TEMPOHEAT" provides a quick, convenient way to monitor the temperature of infants and children. The device retail is targeted towards parents with small children or babies. With this new device, parents can more effectively and efficiently take care of small children, especially when these children are sick and at risk of fever. By simply placing a small bandage on the infant's forehead, a parent can get up to date temperature readings wirelessly through their Iphone. The band-aid sensor connects to a small sensor that plugs into the headphone jack of the iPhone and provides updates on the child's temperature into an Iphone app. This wireless system takes away the hassle of waking up a sleeping, sick baby just to get a temperature reading or having to interrupt a content child to perform a possibly uncomfortable thermometer test (like the ones that are painfully shoved into the ear). Furthermore, with constant readings, a parent will be able to see when a child's temperature begins to increase, and hopefully prevent it from getting dangerously high. Device Design Our device called the TempoHeat is a wireless thermometer that can be attached to smartphone to measure body temperature. This device is specially made for children and our main target audience is parents with sick children. TempoHeat provides a easy and non-invasive technique of measuring body temperature for irritated children or sleeping children. The sticky patch is adhered to the skin. The TempoHeat device is then attached to headphone port on the smart phone. The app is opened and the body temperature will be displayed along with normal body temperatures and diagnoses of sickness(flu or fever). The marketing for this device will primarily be done through television advertisements. There will also be a TempoHeat website as well as infomercials. TempoHeat Slogan "When the going gets tough, the tough get TempoHeat". TempoHeat will allow even adults to measure their temperature fast and immediately take the necessary steps for a cure. Inferential Statistics ==Graph==