rishannp Goto Github PK

auto-adaptive-fbcsp

Building an automatically adaptive FBCSP algorithm for longitudinal analysis

deeplearning-on-als-mi-data

Developing Deep Learning approaches for 3 Class Motor Imagery Classification on ALS data. The idea is to tackle non-stationarity in signals, which aggregate over time for many reasons, specifically in this case due to ALS disease progression.

emg-mmg-fes-force-proxy

gcn

Implementation of Graph Convolutional Networks in TensorFlow

hms-kaggle-competition

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

python-math-neuronal-analysis

rishannp.github.io

the-gym-app

An app which helps users track their workouts, both for day to day and analytically over time.

whisperproject

automating artist lyric input for music apps