Detection of Sleep Apnea through ECG, CSULB, 2024
- Imported and processed 1,000 ECG samples consisting of normal and affected ECG due to sleep apnea to analyze sleep apnea patterns.
- Converted ECG data into signal and plotted time-series graphs in MATLAB for visualization.
- Developed a 115-line MATLAB script to filter, analyze, and compare ECG signal between normal and sleep apnea-affected subjects.
- Applied signal processing techniques to classify normal vs. affected ECG patterns based on frequency and amplitude variations.
- Presented technical findings, errors, how errors were fixed, and results to peers, highlighting key differences in signal behavior and apnea detection accuracy.
Computational Physics Lab in Python, CSULB, 2023
- Codes in Python were created to simulate and animate projectile motion, pendulums, and mass-spring systems in mechanical heat physics.
- Kinematic and differential equations were used to accurately model the system behavior.
- Used Python to create dynamic graphs and real-time 3D animations.
- Simulated oscillations, both dampened and undamped, were used to investigate energy conservation.
- Created an interactive pendulum animation that depicts gravity's effects.
- Presented animated simulations of real-world physics applications.
3D Modeling-Mechanical Assembly and Animation using SolidWorks, CSULB, 2024
- Individual screw, hinge, and door components were modeled in SolidWorks to ensure accurate dimensions and operation.
- Assembled components into a fully operating system, using appropriate restrictions and mobility modeling.
- Created an animated simulation to help visualize the assembly process and mechanical interactions.
- Created accurate CAD drawings with annotations and measurements for technical documentation and manufacture.