Health and Behavior

Next-Gen Health Monitoring Empowered by Python Programming and Deep Learning Applications

Led by Behnaz Ghoraani, Ph.D.

Behnaz Ghoraani, Ph.D.


In this project, we aim to revolutionize the management of neurological disorders such as Parkinson’s and Alzheimer’s disease using advanced sensing technology and artificial intelligence. Our primary goal is to develop innovative machine learning algorithms that transform data from wearable devices and smartphone cameras into actionable insights. These insights will facilitate personalized therapy management outside traditional healthcare settings. A key focus of the project is crafting sophisticated algorithms capable of interpreting data from a range of sensors, including inertial measurement units and smartphone imagery. This endeavor involves deep immersion in Python programming, where participants will be tasked with developing efficient, scalable code tailored for wearable technology. This code must effectively tackle challenges like limited battery life and data transmission constraints inherent in wearable devices. Another major component of the project is the analysis of large, complex datasets. The REU participants will be introduced to the world of deep learning, gaining hands-on experience with neural networks and state-of-the-art data analysis techniques. This experience is crucial for identifying diagnostic patterns within sensor data. Ensuring data privacy, particularly with smartphone camera data, and aligning our algorithmic outputs with clinical standards are also vital aspects of our work.

The project's scope extends to enhancing the diagnosis and treatment of neurological conditions, aligning with the global objectives of precision medicine. The REU participants will acquire a wealth of knowledge in Python programming, deep learning, and sensor data analysis. Under Dr. Ghoraani's guidance, they will play a pivotal role in developing a system that interprets real-world movement and behavioral data from patients, thus contributing significantly to the advancement of personalized healthcare. This project offers a unique opportunity to work at the intersection of technology and healthcare, providing participants with skills and experiences that are highly valuable in the rapidly evolving field of medical technology.