Beat It
Connie Kang
Crofton House
Floor Location : S 058 N

What first get me interested in this topic is because of my sister’s irregular heart pulse. Sometimes all of a sudden she would feel like really pressured since her heart is pumping at an irregular rate; however, by the time she got to the hospital, her heart has already gotten back to the regular rate, thus the doctor wouldn't be able to provide her with any prescription. I’ve seen nurses sitting beside big displays of heart pulse data in the hospital, monitoring every patient’s pulse condition and getting the doctors to come when the pulse changes. Therefore, I came up with a hypothesis that we can conclude a patient’s health condition and some symptoms by looking at his pulse diagram. I started the researching what the scale is, the normal amplitude, what each interval says about the condition, etc. After research and quick chat with my doctor, I realized that although there are many apps and devices that can check the pulse, they can only display the Beat Per Minute (BPM) rather than the actual flow of the pulse. Then, I decided to make an app that can display the patient’s pulse rate, calculate each period’s range, and save all the files using Android Java programming. Therefore, my final project includes the pulse detector, an android board, a bluetooth transmitter, and a big tablet with the app on it. I will first open the bluetooth on my app, trying to connect to my pulse detector. After they are connected, the patient will put his finger on the sensor and the data of the pulse will be sent to the tablet. At first, the data can only be displayed on the tablet with numbers, which is not helpful; therefore, I came up with the idea to dot heart pulse numbers on a graph and program it to connect every single dot so a pulse diagram can be formed. I also had to research the best scale for the heart diagram so I not only can calculate the BPM of each patient, I can also get the range, mean, min, and max of the pulse so the condition can be diagnosed more easily. I collected sample data about the condition for each type of pulse from whether online or from my family doctor or my mom’s doctor friends. I tested my device out on more than 200 hundred people and compared my prediction of their symptoms with the reality and calculated a 86%+ accuracy rate. Therefore, I really think this device can make a big impact to everyday life since it is impossible for a patient to lie in hospital all week to get their pulse and symptoms analyzed. By making this project, everyone would be able to save their heart rate in a accurate and magnified tablet and the data can be diagnosed by the doctor at anytime.