Built With
| lowinertia |
Apoorva Sunil Chakkamallisery
Biomedical Engineer
Boston, MA, USA
ABOUT ME
MEng Biomedical Engineering student at College of Engineering Boston University, passionate about bringing healthcare technologies from concept to impact. I have 2 years of research experience in EEG signal acquisition and analysis and am now transitioning toward product development and product management. I’m especially interested in how engineering, design, and strategy come together to create user-centered medical technologies that improve patient outcomes.
Mind to Motion: EEG-Based Classification of Motor Imagery and Actual Hand Movements Using LSTM Models
Developed an EEG-based LSTM classification model to differentiate motor imagery from real hand movements, achieving 62.5% accuracy in imagery vs. action and 72.5% accuracy in rest vs. action, advancing applications in BCI and motor rehabilitation.
Deep Learning
Machine Learning Workflow
Data preprocessing techniques
EEG Signal Processing & Acquisition
3D Printed Keychain
This beginner level keychain was designed using Onshape. The design was exported as an STL and printed using a Monoprice Voxel printer with PLA material. The estimated time for printing was ~50mins.
Onshape
3D printing
Mask Detection App
This project involves developing a Mask Detection Application using MATLAB App Designer. The app uses image processing and machine learning techniques to detect whether a person is wearing a mask or not. The graphical interface (GUI) allows users to...
MATLAB
GUI Design
Deep Learning
Image/Real-time detection