Project Title: Leveraging AI to Create an EEG-based Smart Phone Medical Diagnosis Application
BASIS Advisor: Mr. Linhares
Internship Location: Texas State University
Onsite Mentor: Dr. Jelena Tesic
If the human brain were a computer, it would process approximately 38 thousand trillion operations per second, and as a result, past efforts to use brain data to detect seizures have required manual, live human monitor of brain waves. In this research paper, I will work with a lab at Texas State University to investigate mathematically modeling brain waves in the form of EEG data as a tool to recognize episodes of brain-related conditions, in particular Parkinson’s, epilepsy, and potentially autism. With the advent of deep learning, more computational power, and stronger datasets, the lab hopes to eliminate the human component of these brain conditions by training a strong predictor that can be scaled to an iOS App for daily use. Furthermore, the smartphone app and predictor will aim replace and eliminate the human component of seizure recognition and detection, as humans are prone to error. In this paper, I will investigate RNN, time series modeling, and other statistics focused on wave data. Ultimately, my research will use deep learning, statistics and mathematical modeling to create effective predictors that make use of brain waves.
My Posts
Week 10: Presentation and Gathering Results
Apr 29, 2019
Hey readers, This week I worked on creating my presentation. First, I assimilated a group of research papers in the area, and read through their background information sections to determine what similar projects in my research area found necessary to inform readers about before presenting their work. I found that a couple of EEG animations […]
Week 9: Building the iOS App and connecting Model
Apr 23, 2019
Hey readers, This week, I began to build my iOS App for the EEG headband. There were a few intermediary steps: Connect the Python Machine Learning Model to Flask and host it locally on a server Learn to connect my code to Flask Connect EEG data to code This week, I was able to get […]
Week 8: Connecting the Muse headband
Apr 19, 2019
Hey readers, The week started out rough. I wasn’t able to connect my Muse headband to code. But after a day of StackOverflow, emails back and forth with Ben from Muse, and continuous efforts, success presented itself! The next challenge: once I connected the headband to my code, I had to figure out how to […]
Week 7: More Data-Clean Up and Finding a Dataset
Apr 07, 2019
Hey readers, This week, I spent my time doing more data clean-up this week and started experimenting with a couple more datasets to see the variation between my results. I also began some introductory exercises on my data to start building a prediction model. One such technique is: wavelet transform. Wavelet transform is the representation […]
Clean up, clean up, everybody clean up! (Week 6)
Apr 02, 2019
Hola blog post readers, This week was awesome. Not because it was my birthday. Not because I started building an app that I first thought of in 7th grade. But because, I finally got hands-on in my project. After importing my dataset and setting it up in my developer environment, I started to first visualize […]
Week 5
Mar 25, 2019
Hey, hey, hey blog post readers! Hope y’all are doing well. This week, I finished my course on Coursera: Neural Networks and Deep Learning. With this knowledge base that spans writing my own backpropagation as well as multi-layer deep neural network, I believe I have all the tools necessary to start training my model on […]
Week 4: App Development
Mar 15, 2019
Hello fellow readers! I hope you are doing well, and I can’t wait to tell you about what I learned this week. Because my senior project external advisor was on leave this week, I decided to spend my time focused on the second phase of my project. Alongside building the model that will recognize episodes […]
Week 3: More Learning!
Mar 10, 2019
Hello and welcome back my fellow readers, During week 2, I was out of town at a competition and thus could not work on my senior project. In week 3, I learned a lot more about Python, how it works and is installed our computer, and familiarized myself with many of the tools I’d be […]
Week 2: Sick
Mar 04, 2019
Hey readers, This week: I fell sick and couldn’t work too much on my senior project. Regardless, I was able to put in orders for the hardware necessary to record brain waves, and talked to a friend who has experience in the space. In addition, I got in touch with Muse, for access to their […]
Week 1: Getting Started on the
Feb 25, 2019
Week One: Getting Started. Hey! Welcome to my senior project blog! My name is Sahil Jain. I’m a senior at BASIS Independent Silicon Valley. A little about me: I enjoy learning new things, am fond of engineering, and am an avid sports fanatic. Over the course of the next 12 weeks, I’ll be blogging and […]