Pinned Repositories
MooscleMeasurement
A 4 Channel EMG acquisition system in a small SMD PCB.
PhD-ALS-BCI
The full log containing my efforts in Stage 1 of my doctoral degree, developing surface-EEG which can be coupled to novel optogenetic stimulators developed by the Bioelectronic Group at UCL. These two devices can be worn, and help stimulate the movement of patients with a focus on ALS but potentially many other MND's or disability patients.
ProjectWolowitz
Auto-Adaptive-FBCSP
Building an automatically adaptive FBCSP algorithm for longitudinal analysis
Motor-Imagery---Graph-Attention-Network
This is works in attempt to develop novel, state-of-the-art models for decoding EEG MI data from patient datasets. Specifically using GAT, highlighting their potential advantages.
ADS8232-EMG-Conversion
EMG-MMG-FES-Force-Proxy
gcn
Implementation of Graph Convolutional Networks in TensorFlow
Motor-Imagery-EEG-Dataset-Repository-
A compilation of unique datasets which can be used in endeavors that contribute to the mitigation of non-stationarity in EEG Motor Imagery BCI's.
Python-Math-Neuronal-Analysis
rishannp's Repositories
rishannp/Motor-Imagery---Graph-Attention-Network
This is works in attempt to develop novel, state-of-the-art models for decoding EEG MI data from patient datasets. Specifically using GAT, highlighting their potential advantages.
rishannp/Motor-Imagery-EEG-Dataset-Repository-
A compilation of unique datasets which can be used in endeavors that contribute to the mitigation of non-stationarity in EEG Motor Imagery BCI's.
rishannp/ADS8232-EMG-Conversion
rishannp/Auto-Adaptive-FBCSP
Building an automatically adaptive FBCSP algorithm for longitudinal analysis
rishannp/whisperproject
automating artist lyric input for music apps
rishannp/ProjectWolowitz
rishannp/The-Gym-App
An app which helps users track their workouts, both for day to day and analytically over time.
rishannp/rishannp.github.io
rishannp/PhD-ALS-BCI
The full log containing my efforts in Stage 1 of my doctoral degree, developing surface-EEG which can be coupled to novel optogenetic stimulators developed by the Bioelectronic Group at UCL. These two devices can be worn, and help stimulate the movement of patients with a focus on ALS but potentially many other MND's or disability patients.
rishannp/gcn
Implementation of Graph Convolutional Networks in TensorFlow
rishannp/Python-Math-Neuronal-Analysis
rishannp/EMG-MMG-FES-Force-Proxy
rishannp/MooscleMeasurement
A 4 Channel EMG acquisition system in a small SMD PCB.