About Joshua Levitt
I am a doctoral candidate completing my PhD in biomedical engineering at Boston University, and a visiting student at MIT, within Laura Lewis's lab at the research laboratory for electronics. I conduct neuroengineering research using EEG and fMRI to study sleep and neurofeedback. I am especially interested in real-time signal processing. I have a bachelors in biology from Bates College in Lewiston, ME, and a masters of science in biomedical engineering from Brown University in Providence, RI. I am based in Boston, MA. I can be reached at Josh.A.Levitt@gmail.com, and my google scholar profile can be found here
Selected projects and publicaitons
EEG-LLAMAS
EEG phase prediction
EEG phase prediction
EEG-LLAMAS is an open source MATLAB platform for real-time EEG denoising and neurofeedback, especially with simultaneous fMRI. It is available on Github. Published in NeuroImage.
EEG phase prediction
EEG phase prediction
EEG phase prediction
In this project, I trained a recurrent neural network to predict the phase of EEG sleep slow waves in real time. This work was presented at EMBS-NER 2023
Predicting pain phenotypes
Predicting pain phenotypes
Predicting pain phenotypes
In this project, I collected EEG data from healthy adults and adults with lumbar radiculopathy, and trained a support vector machine to distinguish between them. Results published in NeuroImage.
EEG artifact detection
Predicting pain phenotypes
Predicting pain phenotypes
I trained a support vector machine to detect EEG artifacts across three species (humans, canines and rodents). Results published in J. Neuro. Methods